We're partnering with a leading international business that is expanding its Integration Centre of Excellence and is looking to hire several Integration Developers to support a range of enterprise-wide integration and API initiatives. This is an opportunity to work on large-scale projects, collaborate with international teams, and develop your expertise across MuleSoft, AWS, Kafka, APIs, and cloud technologies within a highly supportive environment that offers genuine long-term career progression. What You'll Be Doing Designing, developing, and supporting integrations using MuleSoft Anypoint Platform Building APIs and integration solutions that connect critical business applications and data platforms Developing mappings and transformations using DataWeave Working with cloud technologies including AWS services Supporting integration testing, deployments, and production releases Troubleshooting and resolving integration-related issues Collaborating with architects, analysts, and technical stakeholders across international teams Contributing to technical documentation, best practices, and continuous improvement initiatives This role is based in either their Newcastle or Liverpool office, so it is essential that you are able to commute at least 2 days per week. What We're Looking For At least 2 years' experience in integration development Hands-on experience with MuleSoft Anypoint Platform Knowledge of API-led architecture and RESTful APIs Experience working with SQL and databases Exposure to AWS services such as S3, SNS, SQS, IAM, CloudWatch, or EventBridge Experience working with Kafka or similar messaging technologies Understanding of OAuth, JWT, and API security principles Strong communication skills and fluent English Desirable Experience Azure DevOps Integration certifications EDI/B2B integrations Workato, webMethods, or BizTalk What's On Offer Permanent position with excellent career development opportunities Exposure to enterprise-scale global projects Hybrid working model with 2 days per week onsite Opportunity to work within a modern integration function using market-leading technologies International collaboration and occasional overseas travel Supportive team environment with opportunities to progress into senior technical roles EA First Ltd are acting as an Employment Agency for this permanent vacancy.
23/06/2026
Full time
We're partnering with a leading international business that is expanding its Integration Centre of Excellence and is looking to hire several Integration Developers to support a range of enterprise-wide integration and API initiatives. This is an opportunity to work on large-scale projects, collaborate with international teams, and develop your expertise across MuleSoft, AWS, Kafka, APIs, and cloud technologies within a highly supportive environment that offers genuine long-term career progression. What You'll Be Doing Designing, developing, and supporting integrations using MuleSoft Anypoint Platform Building APIs and integration solutions that connect critical business applications and data platforms Developing mappings and transformations using DataWeave Working with cloud technologies including AWS services Supporting integration testing, deployments, and production releases Troubleshooting and resolving integration-related issues Collaborating with architects, analysts, and technical stakeholders across international teams Contributing to technical documentation, best practices, and continuous improvement initiatives This role is based in either their Newcastle or Liverpool office, so it is essential that you are able to commute at least 2 days per week. What We're Looking For At least 2 years' experience in integration development Hands-on experience with MuleSoft Anypoint Platform Knowledge of API-led architecture and RESTful APIs Experience working with SQL and databases Exposure to AWS services such as S3, SNS, SQS, IAM, CloudWatch, or EventBridge Experience working with Kafka or similar messaging technologies Understanding of OAuth, JWT, and API security principles Strong communication skills and fluent English Desirable Experience Azure DevOps Integration certifications EDI/B2B integrations Workato, webMethods, or BizTalk What's On Offer Permanent position with excellent career development opportunities Exposure to enterprise-scale global projects Hybrid working model with 2 days per week onsite Opportunity to work within a modern integration function using market-leading technologies International collaboration and occasional overseas travel Supportive team environment with opportunities to progress into senior technical roles EA First Ltd are acting as an Employment Agency for this permanent vacancy.
Snowflake Data Architect Location: Wembley, London - FULLY ON-SITE Salary: Up to 95,000 + Benefits We are seeking an experienced Snowflake Data Architect to play a pivotal role in shaping and delivering a modern enterprise data platform. This is an opportunity to join a business undergoing significant data transformation, moving from legacy systems and manual processes to a scalable, automated, cloud-first architecture. You will be responsible for defining architectural standards, driving best practices, and enabling engineering teams to deliver high quality, trusted data products that support analytics, reporting, and emerging AI initiatives. Key Responsibilities Define and own enterprise wide data modelling standards, including Data Vault, semantic layers, Star Schema patterns, Snowflake object hierarchies, and governance frameworks. Design scalable integration architectures for legacy platforms, including AS400, iSeries, and SQL based systems, ensuring robust reconciliation, auditability, and incremental data loading capabilities. Architect modern data pipelines leveraging Snowflake and orchestration technologies, ensuring reliability, scalability, idempotency, and effective error handling. Establish and govern security models across the data platform, including role based access control (RBAC), dynamic masking, row level security, and environment segregation. Drive platform performance optimisation and cost management within Snowflake, identifying inefficiencies and implementing scalable warehouse, clustering, and workload management strategies. Design data architectures that support AI and GenAI use cases, including vector search capabilities, embedding pipelines, and semantic data structures. Collaborate with Business Analysts, Data Engineers, and stakeholders to define data contracts and implement automated data quality frameworks. Champion Data as Code principles, helping establish CI/CD best practices and engineering standards across the organisation. Provide architectural leadership, mentoring engineering teams and translating complex technical concepts into practical guidance. Required Experience 10+ years' experience in Data Engineering, Data Architecture, or a related field. Minimum 4 years' hands on experience designing and implementing solutions within Snowflake. Demonstrated success delivering enterprise scale data transformation programmes and modernising legacy data environments. Deep expertise in Data Vault 2.0, Kimball dimensional modelling, and Inmon methodologies, with the ability to select the right approach for varying business requirements. Advanced knowledge of dbt and Git based development practices. Strong experience designing cloud based data solutions, including integrations across AWS and Azure environments. Proven track record implementing CI/CD pipelines and promoting software engineering best practices within data teams. Experience defining data governance, security frameworks, and quality standards across enterprise platforms. Desirable Skills Experience with Kestra or similar modern orchestration platforms. Knowledge of Snowflake Native Apps, Snowpark, and emerging AI/ML capabilities within modern data platforms. Exposure to vector databases, embeddings, retrieval augmented generation (RAG), and AI ready data architectures. Retail, wholesale, supply chain, or large scale transactional data experience.
22/06/2026
Full time
Snowflake Data Architect Location: Wembley, London - FULLY ON-SITE Salary: Up to 95,000 + Benefits We are seeking an experienced Snowflake Data Architect to play a pivotal role in shaping and delivering a modern enterprise data platform. This is an opportunity to join a business undergoing significant data transformation, moving from legacy systems and manual processes to a scalable, automated, cloud-first architecture. You will be responsible for defining architectural standards, driving best practices, and enabling engineering teams to deliver high quality, trusted data products that support analytics, reporting, and emerging AI initiatives. Key Responsibilities Define and own enterprise wide data modelling standards, including Data Vault, semantic layers, Star Schema patterns, Snowflake object hierarchies, and governance frameworks. Design scalable integration architectures for legacy platforms, including AS400, iSeries, and SQL based systems, ensuring robust reconciliation, auditability, and incremental data loading capabilities. Architect modern data pipelines leveraging Snowflake and orchestration technologies, ensuring reliability, scalability, idempotency, and effective error handling. Establish and govern security models across the data platform, including role based access control (RBAC), dynamic masking, row level security, and environment segregation. Drive platform performance optimisation and cost management within Snowflake, identifying inefficiencies and implementing scalable warehouse, clustering, and workload management strategies. Design data architectures that support AI and GenAI use cases, including vector search capabilities, embedding pipelines, and semantic data structures. Collaborate with Business Analysts, Data Engineers, and stakeholders to define data contracts and implement automated data quality frameworks. Champion Data as Code principles, helping establish CI/CD best practices and engineering standards across the organisation. Provide architectural leadership, mentoring engineering teams and translating complex technical concepts into practical guidance. Required Experience 10+ years' experience in Data Engineering, Data Architecture, or a related field. Minimum 4 years' hands on experience designing and implementing solutions within Snowflake. Demonstrated success delivering enterprise scale data transformation programmes and modernising legacy data environments. Deep expertise in Data Vault 2.0, Kimball dimensional modelling, and Inmon methodologies, with the ability to select the right approach for varying business requirements. Advanced knowledge of dbt and Git based development practices. Strong experience designing cloud based data solutions, including integrations across AWS and Azure environments. Proven track record implementing CI/CD pipelines and promoting software engineering best practices within data teams. Experience defining data governance, security frameworks, and quality standards across enterprise platforms. Desirable Skills Experience with Kestra or similar modern orchestration platforms. Knowledge of Snowflake Native Apps, Snowpark, and emerging AI/ML capabilities within modern data platforms. Exposure to vector databases, embeddings, retrieval augmented generation (RAG), and AI ready data architectures. Retail, wholesale, supply chain, or large scale transactional data experience.
We're looking for a hands on builder to join Bolt for Business and drive agentic workflow automation - someone who loves turning commercial problems into working automations and wants to see their code directly move sales metrics. Locations: Lisbon, Portugal London, United Kingdom As a GTM Automation Analyst within Bolt for Business - AI Centre of Excellence, you will spend the majority of your time building, designing, and deploying workflow automations and AI integrations that help our Sales and Account Management teams work faster and smarter across markets. You will work independently to build on platforms like n8n, write the logic that makes them tick, and connect them into Salesforce and the rest of our commercial stack. Over time you will develop a feel for the full lifecycle of a production automation - from scoping and build through to monitoring and iteration. Responsibilities Integrate LLM APIs (e.g. Claude, GPT) into commercial workflows, including prompt design, output validation, and basic agent patterns applied to use cases such as lead qualification, content generation, and rep prioritisation. Query and transform CRM and commercial datasets using SQL to support automation inputs, scoring logic, and reporting - maintaining data consistency across connected systems. Add logging, error handling, and monitoring to every automation you ship so they run reliably in production rather than just in demos. Track the impact of your work - time saved, conversion rates, orders per rep - and iterate based on data insights. Work with your manager and commercial teammates to understand the problems you are solving before building, and flag technical constraints or trade offs clearly. Qualifications You have built workflow automations using a platform like n8n, Zapier, or Make - ideally at least one that is running in a real environment, not just a prototype. You have experience integrating LLM APIs into workflows and are comfortable working with Claude Code. You possess solid SQL skills and can navigate a CRM such as Salesforce to extract the data you need. Your education includes studying or having studied Computer Science, Engineering, or a related field, or you have built enough on your own to demonstrate equivalent knowledge. Exposure to Python, Clay, GitHub, or AI agent frameworks is a plus, but not required. At Bolt, using AI daily is a baseline expectation for everyone. We expect you to seek faster, smarter ways to work while maintaining high output standards when using AI tools. We value drive, intelligence, and integrity. If you do not tick every box, we encourage you to apply anyway. Benefits Unique career opportunities that accelerate professional growth. A rewarding salary and stock options tied to company success. Wellness perks that support your physical and mental health. Paid sabbatical after five years at Bolt to recharge. Hybrid work model with a minimum of 12 monthly in office days. Annual company events and smaller team gatherings to foster collaboration. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest growing tech companies in Europe and Africa. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! We are happy to provide reasonable accommodations for applicants with disabilities and encourage diversity and inclusion in our hiring process.
21/06/2026
Full time
We're looking for a hands on builder to join Bolt for Business and drive agentic workflow automation - someone who loves turning commercial problems into working automations and wants to see their code directly move sales metrics. Locations: Lisbon, Portugal London, United Kingdom As a GTM Automation Analyst within Bolt for Business - AI Centre of Excellence, you will spend the majority of your time building, designing, and deploying workflow automations and AI integrations that help our Sales and Account Management teams work faster and smarter across markets. You will work independently to build on platforms like n8n, write the logic that makes them tick, and connect them into Salesforce and the rest of our commercial stack. Over time you will develop a feel for the full lifecycle of a production automation - from scoping and build through to monitoring and iteration. Responsibilities Integrate LLM APIs (e.g. Claude, GPT) into commercial workflows, including prompt design, output validation, and basic agent patterns applied to use cases such as lead qualification, content generation, and rep prioritisation. Query and transform CRM and commercial datasets using SQL to support automation inputs, scoring logic, and reporting - maintaining data consistency across connected systems. Add logging, error handling, and monitoring to every automation you ship so they run reliably in production rather than just in demos. Track the impact of your work - time saved, conversion rates, orders per rep - and iterate based on data insights. Work with your manager and commercial teammates to understand the problems you are solving before building, and flag technical constraints or trade offs clearly. Qualifications You have built workflow automations using a platform like n8n, Zapier, or Make - ideally at least one that is running in a real environment, not just a prototype. You have experience integrating LLM APIs into workflows and are comfortable working with Claude Code. You possess solid SQL skills and can navigate a CRM such as Salesforce to extract the data you need. Your education includes studying or having studied Computer Science, Engineering, or a related field, or you have built enough on your own to demonstrate equivalent knowledge. Exposure to Python, Clay, GitHub, or AI agent frameworks is a plus, but not required. At Bolt, using AI daily is a baseline expectation for everyone. We expect you to seek faster, smarter ways to work while maintaining high output standards when using AI tools. We value drive, intelligence, and integrity. If you do not tick every box, we encourage you to apply anyway. Benefits Unique career opportunities that accelerate professional growth. A rewarding salary and stock options tied to company success. Wellness perks that support your physical and mental health. Paid sabbatical after five years at Bolt to recharge. Hybrid work model with a minimum of 12 monthly in office days. Annual company events and smaller team gatherings to foster collaboration. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest growing tech companies in Europe and Africa. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! We are happy to provide reasonable accommodations for applicants with disabilities and encourage diversity and inclusion in our hiring process.
Salary £33,000 - 73,000 per year Requirements Advanced Excel: Lookups, pivot tables, power queries, formulas, dashboards. Familiarity with Azure (preferably Azure SQL, pipelines, Data Factory, or storage services). Strong SQL: Ability to query, manipulate, join, cleanse, and analyse large tables. Understanding of Data Flows: Knowledge on how data moves through systems, APIs, tables, and reporting layers. Ability to build or update dashboards, measures, and visual reports in Power BI (bonus). Strong analytical skills with the ability to review large and complex data sets quickly and accurately. Strong problem solving and troubleshooting ability. Experience working with operational, financial, and commercial datasets. Highly organised, able to manage multiple tasks and deadlines. Strong attention to detail with a desire to improve processes. Good communication skills, able to translate data into simple business language. Proactive and curious mindset with a drive for continuous improvement. Experience in a finance, automotive, or insurance environment (desirable). Exposure to commercial performance reporting (e.g., funnels, conversion rates, revenue) (desirable). Experience with API driven platforms or lead generation data flows (desirable). Background in data science, mathematics, economics, or similar analytical field (desirable). Responsibilities Build, maintain, and automate daily, weekly, and monthly performance reports for Directors and senior stakeholders. Produce insights on lender performance, conversion funnels, commissions, and commercial targets. Carry out monthly profitability reviews and highlight actions to maximise revenue. Provide clear summaries of trends, issues, and opportunities based on multi source data sets. Manage and quality check large datasets from internal systems and external platforms. Understand end to end data flows across systems (AutoConvert, SQL Server, Power BI, Excel, Azure). Ensure data accuracy, completeness and consistency across reporting tools. Support the automation of manual processes by creating more efficient, scalable data pipelines. Investigate data anomalies, broken processes, unexpected performance changes or lender issues. Work with Analysts, Lender Managers, Sales and external vendors to identify root causes. Review lender filters, target changes and decisioning rules to ensure alignment with business strategies. Analyse operational bottlenecks and provide actionable solutions. Build predictive insights and statistical models to support performance forecasting and optimisation (if applicable). Assist in experimentation, A/B testing and analysis of pricing, lender strategies or process improvements. Support the development of decisioning tools, such as credit and risk modelling frameworks. Work closely with Sales, Lender Management, Marketing, Operations and Leadership teams. Provide analytical support for new integrations, lender changes or commercial initiatives. Communicate findings in a clear, structured manner-verbal and written. Extract and clean data from internal tables and external systems. Update and automate daily/weekly lender and performance reports. Monitor lender acceptance and payout performance. Review data to maximise commission, revenue and lender success rates. Identify data issues, duplicates, mismatches or operational errors. Support system changes with testing and validation of new data flows. Work with the Data Manager on strategic analytics projects and automation. Technologies API Azure Excel Support Marketing Power BI SQL Cloud Location & Benefits This hybrid role is based in Motherwell (ML1 4UF). We offer competitive salary, internal development opportunities and generous benefits including 30 days holiday, pension, life assurance and regular colleague events.
21/06/2026
Full time
Salary £33,000 - 73,000 per year Requirements Advanced Excel: Lookups, pivot tables, power queries, formulas, dashboards. Familiarity with Azure (preferably Azure SQL, pipelines, Data Factory, or storage services). Strong SQL: Ability to query, manipulate, join, cleanse, and analyse large tables. Understanding of Data Flows: Knowledge on how data moves through systems, APIs, tables, and reporting layers. Ability to build or update dashboards, measures, and visual reports in Power BI (bonus). Strong analytical skills with the ability to review large and complex data sets quickly and accurately. Strong problem solving and troubleshooting ability. Experience working with operational, financial, and commercial datasets. Highly organised, able to manage multiple tasks and deadlines. Strong attention to detail with a desire to improve processes. Good communication skills, able to translate data into simple business language. Proactive and curious mindset with a drive for continuous improvement. Experience in a finance, automotive, or insurance environment (desirable). Exposure to commercial performance reporting (e.g., funnels, conversion rates, revenue) (desirable). Experience with API driven platforms or lead generation data flows (desirable). Background in data science, mathematics, economics, or similar analytical field (desirable). Responsibilities Build, maintain, and automate daily, weekly, and monthly performance reports for Directors and senior stakeholders. Produce insights on lender performance, conversion funnels, commissions, and commercial targets. Carry out monthly profitability reviews and highlight actions to maximise revenue. Provide clear summaries of trends, issues, and opportunities based on multi source data sets. Manage and quality check large datasets from internal systems and external platforms. Understand end to end data flows across systems (AutoConvert, SQL Server, Power BI, Excel, Azure). Ensure data accuracy, completeness and consistency across reporting tools. Support the automation of manual processes by creating more efficient, scalable data pipelines. Investigate data anomalies, broken processes, unexpected performance changes or lender issues. Work with Analysts, Lender Managers, Sales and external vendors to identify root causes. Review lender filters, target changes and decisioning rules to ensure alignment with business strategies. Analyse operational bottlenecks and provide actionable solutions. Build predictive insights and statistical models to support performance forecasting and optimisation (if applicable). Assist in experimentation, A/B testing and analysis of pricing, lender strategies or process improvements. Support the development of decisioning tools, such as credit and risk modelling frameworks. Work closely with Sales, Lender Management, Marketing, Operations and Leadership teams. Provide analytical support for new integrations, lender changes or commercial initiatives. Communicate findings in a clear, structured manner-verbal and written. Extract and clean data from internal tables and external systems. Update and automate daily/weekly lender and performance reports. Monitor lender acceptance and payout performance. Review data to maximise commission, revenue and lender success rates. Identify data issues, duplicates, mismatches or operational errors. Support system changes with testing and validation of new data flows. Work with the Data Manager on strategic analytics projects and automation. Technologies API Azure Excel Support Marketing Power BI SQL Cloud Location & Benefits This hybrid role is based in Motherwell (ML1 4UF). We offer competitive salary, internal development opportunities and generous benefits including 30 days holiday, pension, life assurance and regular colleague events.
Join the ServisBOT Team If you must spend 40 hours a week working, you want to make sure you're working with pretty fantastic people doing some pretty amazing things. That's why at ServisBOT we seek team players that are self starters, uncompromisingly resourceful, and extraordinarily passionate about technology. If this sounds like you, we should meet. AI Solutions Business Analyst Location: Manchester, England (Hybrid - 3 days per week in office) with occasional workshops and in person meetings Salary: Competitive, based on experience Type: This is a full time, permanent contract on the customer success team If interested, send a cover letter and CV to: About the role We're looking for a practical, customer focused and AI curious Business Analyst to help us design and deliver AI agent solutions for our customers. This is not a standard BA role where you simply gather requirements and pass them on. You'll work with customers to understand their business processes, service challenges, operational pain points and customer journeys, then help shape how AI agents can support, automate or improve those workflows. You'll sit between customers, Customer Success, Product and Engineering. Your job will be to turn messy business problems into clear, structured requirements that can be delivered as effective AI powered agents, workflows, integrations, knowledge sources and customer experiences. You do not need to be a machine learning engineer or a software developer. However, you do need to demonstrate comfort working with AI tools, understanding how AI agents behave, thinking critically about risk and quality, and helping customers move from vague ideas to practical, testable solutions. This role is ideal for someone who has experience in business analysis, solution design, implementation, digital transformation, customer operations or SaaS delivery, and who wants to apply those skills in the fast growing area of AI agents. What you'll do You'll work as part of a team to: Lead discovery sessions with customers to understand business goals, operational workflows, customer journeys and pain points. Translate customer problems into clear AI agent use cases, requirements, workflows and acceptance criteria. Identify where AI agents can improve speed, consistency, customer experience, operational efficiency or employee productivity. Map current state and future state processes, highlighting where automation, AI assistance or human handoff should occur. Define agent behaviours, conversation flows, business rules, escalation paths, knowledge requirements and success measures. Work with Junior AI Agent Builders, implementation colleagues and technical teams to ensure requirements are understood and delivered correctly. Help design prompts, knowledge structures, test scenarios and evaluation criteria for AI agents. Support customer workshops, demos, playback sessions and feedback reviews. Challenge vague or unrealistic requirements and help customers focus on practical, valuable outcomes. Collaborate with Product and Engineering to identify gaps, product opportunities, technical constraints and reusable patterns. Review agent outputs for accuracy, usefulness, tone, compliance, consistency and customer experience. Support UAT, testing and launch readiness by making sure agent behaviour matches agreed requirements. Create clear documentation, including process maps, user stories, requirements, decision logs, test scenarios and customer facing summaries. Help define what success looks like for each AI agent, including operational KPIs, customer experience measures and quality indicators. Keep up to date with practical developments in AI agents, LLMs, workflow automation, prompt design and AI governance. What makes this role different from a traditional BA role A traditional BA might document what a customer asks for. In this role, you'll need to help customers work out what they actually need. You'll need to understand when an AI agent is the right solution, when a process needs to change first, when automation could create risk, and when a human in the loop approach is more appropriate. You'll be expected to think about: How an AI agent should behave in real customer scenarios. What information the agent needs to answer accurately. What the agent should not do. When the agent should escalate to a human. How to test whether the agent is performing well. How to design workflows that are useful, safe and maintainable. How to turn customer ambition into something deliverable. This role requires strong BA fundamentals, but also curiosity, judgement and practical understanding of how AI can be applied in real business environments. What we're looking for We're looking for someone with solid experience in business analysis, solution delivery or customer facing technology projects. You should be: Experienced in gathering, analysing and documenting business requirements. Confident running customer workshops and asking structured, thoughtful questions. Good at breaking down complex or messy processes into clear workflows. Able to distinguish between business needs, user needs, technical constraints and product gaps. Comfortable working with technical and non technical stakeholders. Strong at writing clear documentation, user stories, acceptance criteria and process maps. Curious about AI, automation and how businesses can use agents to improve customer and operational outcomes. Practical and outcome focused, with good judgement about what will actually work. Comfortable challenging assumptions and helping customers prioritise. Able to work closely with delivery, product and engineering teams. Strong at spotting ambiguity, risk, edge cases and gaps in requirements. Interested in customer experience, service design, digital transformation and operational improvement. Comfortable testing AI agent behaviour and reviewing outputs critically. Organised, reliable and able to manage multiple customer or project workstreams. Useful skills or experience You do not need all of these, but any of the following would be helpful: Experience as a Business Analyst, Product Analyst, Implementation Consultant, Solution Consultant or Digital Transformation Analyst. Experience in SaaS, customer service technology, contact centres, workflow automation or enterprise software. Exposure to AI tools such as ChatGPT, Claude, Gemini, Copilot or other AI platforms. Experience with conversational AI, chatbots, virtual agents or customer service automation. Experience creating process maps, user stories, acceptance criteria, test plans or solution documentation. Understanding of APIs, integrations, webhooks, CRM systems, ticketing systems or automation platforms. Experience working with Product and Engineering teams in an agile delivery environment. Experience supporting UAT, customer testing, implementation or go live readiness. Familiarity with knowledge bases, FAQs, help centres, content design or service design. Awareness of AI risks such as hallucination, bias, unsafe responses, poor escalation design or unreliable knowledge sources. You do not need to be: A machine learning engineer. A data scientist. A software developer. An AI researcher. A prompt engineering expert. A traditional BA who only writes requirements and avoids solution thinking. We're more interested in your ability to understand business problems, structure complexity, communicate clearly, work with customers, and help deliver practical AI agent solutions that create real value. What success looks like In your first few months, you'll be able to: Understand how ServisBOT designs, builds and delivers AI agent solutions. Lead customer discovery sessions with support from senior team members. Produce clear workflow maps, requirements, agent behaviour definitions and acceptance criteria. Work with implementation colleagues to turn requirements into agent configurations, prompts, knowledge structures and test scenarios. Identify gaps, risks, edge cases and dependencies early. Support demos, playbacks and customer feedback sessions. Help customers understand what AI agents can and cannot realistically do. Contribute to better internal delivery patterns, reusable templates and best practices. Over time, you'll grow into someone who can take a customer problem from early discovery through to a clear AI solution design, working with the team to deliver agents that are useful, reliable, measurable and aligned to customer outcomes. Why join us? This is a chance to apply strong business analysis and solution design skills to one of the fastest growing areas of technology: practical AI agents for real businesses. You'll work on real customer problems, not theoretical AI experiments. You'll help shape agents that support customer service, operations and business workflows, while learning from experienced colleagues across Customer Success, Product, Engineering, Architecture and Delivery. You'll also have the opportunity to help define what good AI business analysis looks like: how to capture requirements for AI agents, how to test agent behaviour . click apply for full job details
21/06/2026
Full time
Join the ServisBOT Team If you must spend 40 hours a week working, you want to make sure you're working with pretty fantastic people doing some pretty amazing things. That's why at ServisBOT we seek team players that are self starters, uncompromisingly resourceful, and extraordinarily passionate about technology. If this sounds like you, we should meet. AI Solutions Business Analyst Location: Manchester, England (Hybrid - 3 days per week in office) with occasional workshops and in person meetings Salary: Competitive, based on experience Type: This is a full time, permanent contract on the customer success team If interested, send a cover letter and CV to: About the role We're looking for a practical, customer focused and AI curious Business Analyst to help us design and deliver AI agent solutions for our customers. This is not a standard BA role where you simply gather requirements and pass them on. You'll work with customers to understand their business processes, service challenges, operational pain points and customer journeys, then help shape how AI agents can support, automate or improve those workflows. You'll sit between customers, Customer Success, Product and Engineering. Your job will be to turn messy business problems into clear, structured requirements that can be delivered as effective AI powered agents, workflows, integrations, knowledge sources and customer experiences. You do not need to be a machine learning engineer or a software developer. However, you do need to demonstrate comfort working with AI tools, understanding how AI agents behave, thinking critically about risk and quality, and helping customers move from vague ideas to practical, testable solutions. This role is ideal for someone who has experience in business analysis, solution design, implementation, digital transformation, customer operations or SaaS delivery, and who wants to apply those skills in the fast growing area of AI agents. What you'll do You'll work as part of a team to: Lead discovery sessions with customers to understand business goals, operational workflows, customer journeys and pain points. Translate customer problems into clear AI agent use cases, requirements, workflows and acceptance criteria. Identify where AI agents can improve speed, consistency, customer experience, operational efficiency or employee productivity. Map current state and future state processes, highlighting where automation, AI assistance or human handoff should occur. Define agent behaviours, conversation flows, business rules, escalation paths, knowledge requirements and success measures. Work with Junior AI Agent Builders, implementation colleagues and technical teams to ensure requirements are understood and delivered correctly. Help design prompts, knowledge structures, test scenarios and evaluation criteria for AI agents. Support customer workshops, demos, playback sessions and feedback reviews. Challenge vague or unrealistic requirements and help customers focus on practical, valuable outcomes. Collaborate with Product and Engineering to identify gaps, product opportunities, technical constraints and reusable patterns. Review agent outputs for accuracy, usefulness, tone, compliance, consistency and customer experience. Support UAT, testing and launch readiness by making sure agent behaviour matches agreed requirements. Create clear documentation, including process maps, user stories, requirements, decision logs, test scenarios and customer facing summaries. Help define what success looks like for each AI agent, including operational KPIs, customer experience measures and quality indicators. Keep up to date with practical developments in AI agents, LLMs, workflow automation, prompt design and AI governance. What makes this role different from a traditional BA role A traditional BA might document what a customer asks for. In this role, you'll need to help customers work out what they actually need. You'll need to understand when an AI agent is the right solution, when a process needs to change first, when automation could create risk, and when a human in the loop approach is more appropriate. You'll be expected to think about: How an AI agent should behave in real customer scenarios. What information the agent needs to answer accurately. What the agent should not do. When the agent should escalate to a human. How to test whether the agent is performing well. How to design workflows that are useful, safe and maintainable. How to turn customer ambition into something deliverable. This role requires strong BA fundamentals, but also curiosity, judgement and practical understanding of how AI can be applied in real business environments. What we're looking for We're looking for someone with solid experience in business analysis, solution delivery or customer facing technology projects. You should be: Experienced in gathering, analysing and documenting business requirements. Confident running customer workshops and asking structured, thoughtful questions. Good at breaking down complex or messy processes into clear workflows. Able to distinguish between business needs, user needs, technical constraints and product gaps. Comfortable working with technical and non technical stakeholders. Strong at writing clear documentation, user stories, acceptance criteria and process maps. Curious about AI, automation and how businesses can use agents to improve customer and operational outcomes. Practical and outcome focused, with good judgement about what will actually work. Comfortable challenging assumptions and helping customers prioritise. Able to work closely with delivery, product and engineering teams. Strong at spotting ambiguity, risk, edge cases and gaps in requirements. Interested in customer experience, service design, digital transformation and operational improvement. Comfortable testing AI agent behaviour and reviewing outputs critically. Organised, reliable and able to manage multiple customer or project workstreams. Useful skills or experience You do not need all of these, but any of the following would be helpful: Experience as a Business Analyst, Product Analyst, Implementation Consultant, Solution Consultant or Digital Transformation Analyst. Experience in SaaS, customer service technology, contact centres, workflow automation or enterprise software. Exposure to AI tools such as ChatGPT, Claude, Gemini, Copilot or other AI platforms. Experience with conversational AI, chatbots, virtual agents or customer service automation. Experience creating process maps, user stories, acceptance criteria, test plans or solution documentation. Understanding of APIs, integrations, webhooks, CRM systems, ticketing systems or automation platforms. Experience working with Product and Engineering teams in an agile delivery environment. Experience supporting UAT, customer testing, implementation or go live readiness. Familiarity with knowledge bases, FAQs, help centres, content design or service design. Awareness of AI risks such as hallucination, bias, unsafe responses, poor escalation design or unreliable knowledge sources. You do not need to be: A machine learning engineer. A data scientist. A software developer. An AI researcher. A prompt engineering expert. A traditional BA who only writes requirements and avoids solution thinking. We're more interested in your ability to understand business problems, structure complexity, communicate clearly, work with customers, and help deliver practical AI agent solutions that create real value. What success looks like In your first few months, you'll be able to: Understand how ServisBOT designs, builds and delivers AI agent solutions. Lead customer discovery sessions with support from senior team members. Produce clear workflow maps, requirements, agent behaviour definitions and acceptance criteria. Work with implementation colleagues to turn requirements into agent configurations, prompts, knowledge structures and test scenarios. Identify gaps, risks, edge cases and dependencies early. Support demos, playbacks and customer feedback sessions. Help customers understand what AI agents can and cannot realistically do. Contribute to better internal delivery patterns, reusable templates and best practices. Over time, you'll grow into someone who can take a customer problem from early discovery through to a clear AI solution design, working with the team to deliver agents that are useful, reliable, measurable and aligned to customer outcomes. Why join us? This is a chance to apply strong business analysis and solution design skills to one of the fastest growing areas of technology: practical AI agents for real businesses. You'll work on real customer problems, not theoretical AI experiments. You'll help shape agents that support customer service, operations and business workflows, while learning from experienced colleagues across Customer Success, Product, Engineering, Architecture and Delivery. You'll also have the opportunity to help define what good AI business analysis looks like: how to capture requirements for AI agents, how to test agent behaviour . click apply for full job details
Salary: £60,000 - 70,000 per year Requirements: We require proven experience working in banks as a T24 technical resource. We require in-depth technical knowledge of the T24 system, ideally including the latest releases R23 and R24, as well as modules AA, TPH, and TDH. We require experience participating in T24 upgrade and integration projects, including API integrations. We require an excellent understanding of T24 TAFJ running on an MS SQL database. We require strong Java development skills for T24. We require solid experience in T24 integration, interfacing, and customisation of browser functionality. We prefer candidates who can work in a technical consultancy or systems analyst capacity for Temenos Transact / T24. We prefer candidates with experience supporting banking systems in a production environment. We value candidates who can contribute to system upgrades, patches, and enhancements. We prefer candidates who can troubleshoot complex operational issues and support urgent incidents. We prefer candidates who are able to provide out-of-hours support when needed. Responsibilities: We enhance T24 system functionality to meet our banking needs. We carry out updates, patch installations, and integrations with other IT systems. We lead software development from design to delivery, including coding, code review, and unit testing. We monitor T24 system performance and security. We analyze business requirements and develop technical specifications. We resolve operational issues and support problem resolution. We coordinate with the Temenos Helpdesk to resolve issues. We provide out-of-hours support for urgent system issues. We work as part of a small team supporting the T24 / Transact product. We support API integrations and other interface/customisation work as required. Technologies: API Support Java SQL Security Swift More: We are a long-established international bank offering an excellent long-term opportunity with strong benefits, including a 12.5% pension contribution, performance-based bonus of up to 25%, 28 days of leave rising with service, and private health and dental cover. We are based in Central London / the West End, with a hybrid working pattern of four days in the office and one day from home. You will join a small team supporting our T24 / Temenos Transact platform, working in a central location with plenty nearby to see and do.
21/06/2026
Full time
Salary: £60,000 - 70,000 per year Requirements: We require proven experience working in banks as a T24 technical resource. We require in-depth technical knowledge of the T24 system, ideally including the latest releases R23 and R24, as well as modules AA, TPH, and TDH. We require experience participating in T24 upgrade and integration projects, including API integrations. We require an excellent understanding of T24 TAFJ running on an MS SQL database. We require strong Java development skills for T24. We require solid experience in T24 integration, interfacing, and customisation of browser functionality. We prefer candidates who can work in a technical consultancy or systems analyst capacity for Temenos Transact / T24. We prefer candidates with experience supporting banking systems in a production environment. We value candidates who can contribute to system upgrades, patches, and enhancements. We prefer candidates who can troubleshoot complex operational issues and support urgent incidents. We prefer candidates who are able to provide out-of-hours support when needed. Responsibilities: We enhance T24 system functionality to meet our banking needs. We carry out updates, patch installations, and integrations with other IT systems. We lead software development from design to delivery, including coding, code review, and unit testing. We monitor T24 system performance and security. We analyze business requirements and develop technical specifications. We resolve operational issues and support problem resolution. We coordinate with the Temenos Helpdesk to resolve issues. We provide out-of-hours support for urgent system issues. We work as part of a small team supporting the T24 / Transact product. We support API integrations and other interface/customisation work as required. Technologies: API Support Java SQL Security Swift More: We are a long-established international bank offering an excellent long-term opportunity with strong benefits, including a 12.5% pension contribution, performance-based bonus of up to 25%, 28 days of leave rising with service, and private health and dental cover. We are based in Central London / the West End, with a hybrid working pattern of four days in the office and one day from home. You will join a small team supporting our T24 / Temenos Transact platform, working in a central location with plenty nearby to see and do.
Salary: £90,000 - 95,000 per year Requirements We require 10+ years of experience in Data Engineering, Data Architecture, or a related field. We require at least 4 years of hands on experience designing and implementing solutions within Snowflake. We require demonstrated success delivering enterprise scale data transformation programmes and modernising legacy data environments. We require deep expertise in Data Vault 2.0, Kimball dimensional modelling, and Inmon methodologies, with the ability to select the right approach for different business needs. We require advanced knowledge of dbt and Git based development practices. We require strong experience designing cloud based data solutions, including integrations across AWS and Azure environments. We require a proven track record of implementing CI/CD pipelines and promoting software engineering best practices within data teams. We require experience defining data governance, security frameworks, and quality standards across enterprise platforms. We prefer experience with Kestra or similar modern orchestration platforms. We prefer knowledge of Snowflake Native Apps, Snowpark, and emerging AI/ML capabilities within modern data platforms. We prefer exposure to vector databases, embeddings, retrieval augmented generation (RAG), and AI ready data architectures. We prefer experience in retail, wholesale, supply chain, or large scale transactional data environments. Responsibilities We define and own enterprise wide data modelling standards, including Data Vault, semantic layers, Star Schema patterns, Snowflake object hierarchies, and governance frameworks. We design scalable integration architectures for legacy platforms, including AS400, iSeries, and SQL based systems, ensuring robust reconciliation, auditability, and incremental data loading capabilities. We architect modern data pipelines leveraging Snowflake and orchestration technologies, ensuring reliability, scalability, idempotency, and effective error handling. We establish and govern security models across the data platform, including role based access control (RBAC), dynamic masking, row level security, and environment segregation. We drive platform performance optimisation and cost management within Snowflake, identifying inefficiencies and implementing scalable warehouse, clustering, and workload management strategies. We design data architectures that support AI and GenAI use cases, including vector search capabilities, embedding pipelines, and semantic data structures. We collaborate with Business Analysts, Data Engineers, and stakeholders to define data contracts and implement automated data quality frameworks. We champion Data as Code principles, helping establish CI/CD best practices and engineering standards across the organisation. We provide architectural leadership, mentoring engineering teams and translating complex technical concepts into practical guidance. Technologies AI AWS Architect Azure CI/CD Cloud Data Vault Git Support RBAC SQL Security Snowflake dbt More We are a business undergoing significant data transformation, moving from legacy systems and manual processes to a scalable, automated, cloud first architecture. We are hiring a Snowflake Data Architect to play a pivotal role in shaping and delivering our modern enterprise data platform. This is a fully on site role based in Wembley, London, with a salary of up to £95,000 plus benefits. You will join a team focused on building trusted data products that support analytics, reporting, and emerging AI initiatives, while helping us establish strong engineering standards, governance, and best practices across the organisation.
21/06/2026
Full time
Salary: £90,000 - 95,000 per year Requirements We require 10+ years of experience in Data Engineering, Data Architecture, or a related field. We require at least 4 years of hands on experience designing and implementing solutions within Snowflake. We require demonstrated success delivering enterprise scale data transformation programmes and modernising legacy data environments. We require deep expertise in Data Vault 2.0, Kimball dimensional modelling, and Inmon methodologies, with the ability to select the right approach for different business needs. We require advanced knowledge of dbt and Git based development practices. We require strong experience designing cloud based data solutions, including integrations across AWS and Azure environments. We require a proven track record of implementing CI/CD pipelines and promoting software engineering best practices within data teams. We require experience defining data governance, security frameworks, and quality standards across enterprise platforms. We prefer experience with Kestra or similar modern orchestration platforms. We prefer knowledge of Snowflake Native Apps, Snowpark, and emerging AI/ML capabilities within modern data platforms. We prefer exposure to vector databases, embeddings, retrieval augmented generation (RAG), and AI ready data architectures. We prefer experience in retail, wholesale, supply chain, or large scale transactional data environments. Responsibilities We define and own enterprise wide data modelling standards, including Data Vault, semantic layers, Star Schema patterns, Snowflake object hierarchies, and governance frameworks. We design scalable integration architectures for legacy platforms, including AS400, iSeries, and SQL based systems, ensuring robust reconciliation, auditability, and incremental data loading capabilities. We architect modern data pipelines leveraging Snowflake and orchestration technologies, ensuring reliability, scalability, idempotency, and effective error handling. We establish and govern security models across the data platform, including role based access control (RBAC), dynamic masking, row level security, and environment segregation. We drive platform performance optimisation and cost management within Snowflake, identifying inefficiencies and implementing scalable warehouse, clustering, and workload management strategies. We design data architectures that support AI and GenAI use cases, including vector search capabilities, embedding pipelines, and semantic data structures. We collaborate with Business Analysts, Data Engineers, and stakeholders to define data contracts and implement automated data quality frameworks. We champion Data as Code principles, helping establish CI/CD best practices and engineering standards across the organisation. We provide architectural leadership, mentoring engineering teams and translating complex technical concepts into practical guidance. Technologies AI AWS Architect Azure CI/CD Cloud Data Vault Git Support RBAC SQL Security Snowflake dbt More We are a business undergoing significant data transformation, moving from legacy systems and manual processes to a scalable, automated, cloud first architecture. We are hiring a Snowflake Data Architect to play a pivotal role in shaping and delivering our modern enterprise data platform. This is a fully on site role based in Wembley, London, with a salary of up to £95,000 plus benefits. You will join a team focused on building trusted data products that support analytics, reporting, and emerging AI initiatives, while helping us establish strong engineering standards, governance, and best practices across the organisation.
The Chief Data and Analytics Office (CDAO) builds enterprise scale platforms for Data Management, Analytics, and AI/ML Operations used firm wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage data. As the Data Catalog Product Manager, you will play a pivotal role in building a unified, multi channel data marketplace where thousands of firm wide datasets become easy to find, preview, and integrate across application and AI use cases. You will own the end to end vision, strategy, and execution - spanning a rich web UI, programmatic APIs, and future agentic integrations (Claude, Copilot, internal AI assistants) that meet consumers where they already work. We want someone who leads with problems, not solutions - who brings deep UX and service design expertise, has built catalog or marketplace products at scale, and can articulate how intelligent discovery evolves in an agentic AI world. What You'll Do Own the Catalog Vision & Strategy Define the multi year product vision and roadmap for firm wide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north star metrics tied to real impact: time to data, publishing velocity, discovery to integration conversion, repeat usage, and governance compliance. Own the full lifecycle from problem discovery delivery adoption iteration. Design a World Class Discovery Experience Lead the UX and service design vision - intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle, Spotify, App Store). Build for Multi Channel: UI, API & Agents Architect an API first platform powering a beautiful web UI today and programmatic access for code first engineers. Meet consumers in their daily tools - notebooks, IDEs, orchestration platforms, chat interfaces, copilots - eliminating context switching. Design composable, reusable solutions that integrate with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access - self service provisioning, entitlement workflows, one click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups. Collaborate with Engineering, Design & Data Science Work with UX designers and researchers on usability testing, rapid prototyping, and user validation. Write detailed PRDs and technical documentation that engineers and consumers can act on. Lead & Influence the team Influence cross functional stakeholders - engineering, architecture, data science, governance, UX, and senior business leaders. Mentor and develop junior product managers. Required Skills 8+ years in technical product management delivering catalog, marketplace, or discovery platforms from ideation to production at scale. Deep UX & service design sensibility - passion to build clear, intuitive and scalable UI experiences. Multi channel product delivery - shipped across web UI, API, and/or conversational/agent based interfaces. Technical depth in data infrastructure - data catalogs, metadata management, governance frameworks, data quality tooling. Strong communication - translate technical complexity into clear narratives for engineers, designers, and executives. Prioritisation at scale - balance competing demands across a large stakeholder base by weighing business impact, user value, and technical feasibility. Preferred Experience in financial services or highly regulated industries. Built or scaled a data catalog, data marketplace, feature store, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns - tool use, RAG, function calling - and how marketplace APIs can be exposed to LLM based agents. Experience with search relevance & recommendation systems - ranking algorithms, semantic search, personalisation. Hands on with Snowflake, Databricks, Airflow, Kafka. Why Join Us Work on firm wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMC. Shape the future of AI/ML and data infrastructure at one of the world's largest financial institutions. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
20/06/2026
Full time
The Chief Data and Analytics Office (CDAO) builds enterprise scale platforms for Data Management, Analytics, and AI/ML Operations used firm wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage data. As the Data Catalog Product Manager, you will play a pivotal role in building a unified, multi channel data marketplace where thousands of firm wide datasets become easy to find, preview, and integrate across application and AI use cases. You will own the end to end vision, strategy, and execution - spanning a rich web UI, programmatic APIs, and future agentic integrations (Claude, Copilot, internal AI assistants) that meet consumers where they already work. We want someone who leads with problems, not solutions - who brings deep UX and service design expertise, has built catalog or marketplace products at scale, and can articulate how intelligent discovery evolves in an agentic AI world. What You'll Do Own the Catalog Vision & Strategy Define the multi year product vision and roadmap for firm wide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north star metrics tied to real impact: time to data, publishing velocity, discovery to integration conversion, repeat usage, and governance compliance. Own the full lifecycle from problem discovery delivery adoption iteration. Design a World Class Discovery Experience Lead the UX and service design vision - intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle, Spotify, App Store). Build for Multi Channel: UI, API & Agents Architect an API first platform powering a beautiful web UI today and programmatic access for code first engineers. Meet consumers in their daily tools - notebooks, IDEs, orchestration platforms, chat interfaces, copilots - eliminating context switching. Design composable, reusable solutions that integrate with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access - self service provisioning, entitlement workflows, one click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups. Collaborate with Engineering, Design & Data Science Work with UX designers and researchers on usability testing, rapid prototyping, and user validation. Write detailed PRDs and technical documentation that engineers and consumers can act on. Lead & Influence the team Influence cross functional stakeholders - engineering, architecture, data science, governance, UX, and senior business leaders. Mentor and develop junior product managers. Required Skills 8+ years in technical product management delivering catalog, marketplace, or discovery platforms from ideation to production at scale. Deep UX & service design sensibility - passion to build clear, intuitive and scalable UI experiences. Multi channel product delivery - shipped across web UI, API, and/or conversational/agent based interfaces. Technical depth in data infrastructure - data catalogs, metadata management, governance frameworks, data quality tooling. Strong communication - translate technical complexity into clear narratives for engineers, designers, and executives. Prioritisation at scale - balance competing demands across a large stakeholder base by weighing business impact, user value, and technical feasibility. Preferred Experience in financial services or highly regulated industries. Built or scaled a data catalog, data marketplace, feature store, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns - tool use, RAG, function calling - and how marketplace APIs can be exposed to LLM based agents. Experience with search relevance & recommendation systems - ranking algorithms, semantic search, personalisation. Hands on with Snowflake, Databricks, Airflow, Kafka. Why Join Us Work on firm wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMC. Shape the future of AI/ML and data infrastructure at one of the world's largest financial institutions. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
FL - Headquarters 7850 SW 6th Ct Plantation, FL 33324, USA As the Senior EDI Developer, you will be responsible for designing, developing, implementing, and maintaining Electronic Data Interchange (EDI) solutions and enterprise system integrations. This role applies advanced programming, automation, database, and ERP integration expertise to support business operations, improve system efficiency, and drive process automation. The Senior EDI Developer serves as a technical lead on EDI initiatives, supports trading partner relationships, and helps establish the strategic technology roadmap for EDI related systems. What You Will Do Design, develop, implement, and maintain EDI solutions across multiple platforms. Support and maintain interfaces between ERP systems, EDI platforms, and automation tools. Manage and support existing EDI processes, mappings, and controls. Lead the setup, testing, and onboarding of new trading partners, including communication protocols and mapping requirements. Establish and maintain procedures for EDI file security, retention, and purging. Maintain EDI test environments and oversee testing activities. Enhance and maintain EDI documentation, standards, and operational procedures. Monitor EDI transactions and proactively identify and resolve issues before business impact occurs. Design, develop, and maintain corporate software applications to support business requirements. Analyze system performance and implement improvements to optimize efficiency and scalability. Develop automation solutions using platforms such as Workato, scripting languages, and other integration technologies. Enhance and maintain database structures and file management processes. Design and implement applications that improve operational efficiency and reduce costs. Identify, troubleshoot, and resolve ERP integration issues and data related challenges. Develop and generate ad hoc reports using programming and database tools. Lead EDI related projects and provide guidance to developers, analysts, contractors, and external partners. Establish and maintain EDI technology roadmaps and evaluate emerging technologies and solutions. Research, recommend, and implement best in class EDI and integration practices. Maintain and prioritize projects and support activities with minimal supervision. Collaborate with business stakeholders, IT teams, and vendors to ensure successful project execution. Manage vendor relationships related to EDI platforms and services. Provide after hours support for critical EDI and corporate information systems as required. Monitor system performance, identify discrepancies, and recommend process improvements. Ensure compliance with company policies, procedures, security standards, and legal requirements. Maintain accurate documentation of systems, processes, and configurations. What We Are Looking For Bachelor's degree in computer science, Information Technology, Software Engineering, or related field, or equivalent combination of education and experience. Minimum 12 years of overall software development experience. Minimum 10 years of hands on EDI experience, preferably with TrueCommerce or similar EDI platforms. Strong understanding of ERP systems and ERP to EDI integrations. Advanced programming and scripting experience. Experience with automation platforms such as Workato. Strong database design, development, and troubleshooting skills. Experience designing and supporting enterprise application integrations. Strong analytical, problem solving, and troubleshooting abilities. Ability to manage multiple priorities and projects independently. Preferred Qualifications Experience with Order Management Systems (OMS). Experience supporting large scale retail, distribution, manufacturing, or supply chain environments. Experience with API integrations and cloud based integration platforms. Familiarity with EDI transaction sets including 850, 855, 856, 810, 846, and related standards. Experience leading technical projects and mentoring junior team members. ERP Systems TrueCommerce Systems Analysis Technical Leadership Process Improvement Database Development Project Management Problem Solving What We Offer The base salary may vary based on experience, role tenure, performance, industry, and location. Eligibility for the annual performance incentive may apply. Jazwares is a multi state employer, so the salary range may not apply to other states. Our benefits package includes basic medical insurance that is 100% company paid for employees and their children, employee basic life and AD&D insurance, a 401(K) retirement program with Jazwares matching up to 4% of pretax or post tax deferrals, short and long term disability, and tuition reimbursement. Our work environment provides a flexible work schedule that includes a Monday through Thursday on site, with an optional WFH on Fridays, up to 20 workdays fully remote each year, and Time Off for vacation and sick leave. Reasonable Accommodations To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. Equal Opportunity Employer JAZWARES is an equal opportunity employer and does not discriminate in employment on the basis of race, color, sex, religion, national or ethnic origin, citizenship status, ancestry, disability, age, military status, marital status, sexual orientation, or any other characteristic protected by law. Jazwares is committed to providing reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.
19/06/2026
Full time
FL - Headquarters 7850 SW 6th Ct Plantation, FL 33324, USA As the Senior EDI Developer, you will be responsible for designing, developing, implementing, and maintaining Electronic Data Interchange (EDI) solutions and enterprise system integrations. This role applies advanced programming, automation, database, and ERP integration expertise to support business operations, improve system efficiency, and drive process automation. The Senior EDI Developer serves as a technical lead on EDI initiatives, supports trading partner relationships, and helps establish the strategic technology roadmap for EDI related systems. What You Will Do Design, develop, implement, and maintain EDI solutions across multiple platforms. Support and maintain interfaces between ERP systems, EDI platforms, and automation tools. Manage and support existing EDI processes, mappings, and controls. Lead the setup, testing, and onboarding of new trading partners, including communication protocols and mapping requirements. Establish and maintain procedures for EDI file security, retention, and purging. Maintain EDI test environments and oversee testing activities. Enhance and maintain EDI documentation, standards, and operational procedures. Monitor EDI transactions and proactively identify and resolve issues before business impact occurs. Design, develop, and maintain corporate software applications to support business requirements. Analyze system performance and implement improvements to optimize efficiency and scalability. Develop automation solutions using platforms such as Workato, scripting languages, and other integration technologies. Enhance and maintain database structures and file management processes. Design and implement applications that improve operational efficiency and reduce costs. Identify, troubleshoot, and resolve ERP integration issues and data related challenges. Develop and generate ad hoc reports using programming and database tools. Lead EDI related projects and provide guidance to developers, analysts, contractors, and external partners. Establish and maintain EDI technology roadmaps and evaluate emerging technologies and solutions. Research, recommend, and implement best in class EDI and integration practices. Maintain and prioritize projects and support activities with minimal supervision. Collaborate with business stakeholders, IT teams, and vendors to ensure successful project execution. Manage vendor relationships related to EDI platforms and services. Provide after hours support for critical EDI and corporate information systems as required. Monitor system performance, identify discrepancies, and recommend process improvements. Ensure compliance with company policies, procedures, security standards, and legal requirements. Maintain accurate documentation of systems, processes, and configurations. What We Are Looking For Bachelor's degree in computer science, Information Technology, Software Engineering, or related field, or equivalent combination of education and experience. Minimum 12 years of overall software development experience. Minimum 10 years of hands on EDI experience, preferably with TrueCommerce or similar EDI platforms. Strong understanding of ERP systems and ERP to EDI integrations. Advanced programming and scripting experience. Experience with automation platforms such as Workato. Strong database design, development, and troubleshooting skills. Experience designing and supporting enterprise application integrations. Strong analytical, problem solving, and troubleshooting abilities. Ability to manage multiple priorities and projects independently. Preferred Qualifications Experience with Order Management Systems (OMS). Experience supporting large scale retail, distribution, manufacturing, or supply chain environments. Experience with API integrations and cloud based integration platforms. Familiarity with EDI transaction sets including 850, 855, 856, 810, 846, and related standards. Experience leading technical projects and mentoring junior team members. ERP Systems TrueCommerce Systems Analysis Technical Leadership Process Improvement Database Development Project Management Problem Solving What We Offer The base salary may vary based on experience, role tenure, performance, industry, and location. Eligibility for the annual performance incentive may apply. Jazwares is a multi state employer, so the salary range may not apply to other states. Our benefits package includes basic medical insurance that is 100% company paid for employees and their children, employee basic life and AD&D insurance, a 401(K) retirement program with Jazwares matching up to 4% of pretax or post tax deferrals, short and long term disability, and tuition reimbursement. Our work environment provides a flexible work schedule that includes a Monday through Thursday on site, with an optional WFH on Fridays, up to 20 workdays fully remote each year, and Time Off for vacation and sick leave. Reasonable Accommodations To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. Equal Opportunity Employer JAZWARES is an equal opportunity employer and does not discriminate in employment on the basis of race, color, sex, religion, national or ethnic origin, citizenship status, ancestry, disability, age, military status, marital status, sexual orientation, or any other characteristic protected by law. Jazwares is committed to providing reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.
What do we do? Introducing Thinkproject Platform Pioneering a new era and offering a cohesive alternative to the fragmented landscape of construction software, Thinkproject seamlessly integrates the most extensive portfolio of mature solutions with an innovative platform, providing unparalleled features, integrations, user experiences, and synergies. By combining information management expertise and in-depth knowledge of the building, infrastructure, and energy industries, Thinkproject empowers customers to efficiently deliver, operate, regenerate, and dispose of their built assets across their entire lifecycle through a Connected Data Ecosystem. What your day will look like We are looking for a highly experienced and technically skilled Lead Security Operations Centre (SOC) Analyst to join our team and take ownership of the day to day operation and continuous improvement of our Security Operations Centre. This role combines deep technical expertise with operational leadership, people management, and project delivery responsibilities, ensuring the SOC remains effective in identifying, investigating, and responding to advanced security threats, issues, and vulnerabilities across the organisation. As the lead member of the team, you will oversee SOC operations, manage and coordinate complex security investigations, and provide technical leadership during all incidents. You will lead investigations into sophisticated threats such as advanced persistent threats (APTs), malware outbreaks, and targeted attacks, whilst performing hands on analysis of security events, forensic evidence collection, and root cause analysis. You will also drive the development and enhancement of detection capabilities across SIEM, EDR, and other monitoring technologies, while continuously improving SOC processes, procedures, workflows, automation, and playbooks to increase operational effectiveness and maturity. You will actively engage in threat hunting, leveraging your deep understanding of application code, infrastructure and hosting architectures (cloud and on premises), the software development lifecycle (SDLC), and CI/CD pipeline solutions to identify risks that span traditional and cloud native environments. You will collaborate closely with Security Engineering, IT, DevOps, and application teams to improve detection coverage, enhance monitoring capabilities, and strengthen the organisation's overall security posture. Alongside your technical responsibilities, you will provide line management for SOC analysts, including mentoring, coaching, performance management, and professional development, whilst overseeing workload prioritisation, SOC reporting, and the successful delivery of projects associated with SOC tooling, automation, compliance, and operational maturity. This role encompasses reactive incident response, proactive detection engineering, threat hunting, vulnerability management, and operational leadership. You will also contribute to strategic initiatives including penetration testing coordination, security assessments, audit preparation, threat intelligence activities, and the maintenance of SOC documentation and reporting. This role sits within the Product Operations and Corporate IT branch, reporting to the Director of Cyber Security and Networking, and operates as part of the broader Cyber Security, Network, and Security Engineering teams. Main responsibilities: Independently investigate and respond to security alerts and events from SIEM, EDR, and other security tools across endpoints, networks, cloud platforms, and applications. Lead proactive threat hunting activities, leveraging threat intelligence, application logs, and infrastructure telemetry to uncover indicators of compromise or stealthy threat activity. Perform in-depth analysis of logs, API configurations and traffic, container environments, network data, application and infrastructure architecture, as well as data center hosting environments to support threat detection, incident investigation, and root cause analysis. Manage complex cybersecurity incidents end-to-end, including containment, eradication, recovery, and post-incident analysis, while coordinating closely with cross-functional stakeholders. Deploy, operate, configure, and tune SIEM platforms and detection tools to enhance signal accuracy, reduce alert fatigue, and maintain effective detection coverage. Design, build, and maintain incident response playbooks and automation workflows to increase the efficiency, speed, and consistency of incident response processes. Simultaneously manage multiple active investigations and day-to-day SOC operations, effectively prioritising tasks and managing time under pressure. Conduct forensic analysis during investigations, including evidence preservation, malware analysis, memory examination, and root cause identification. Collaborate with DevOps, IT, and development teams to ensure timely containment, mitigation, and remediation of vulnerabilities and threats. Coordinate outputs from security assessment tools and penetration tests, ensuring clear ownership and timely closure of identified issues. Participate in and lead security testing exercises to evaluate and strengthen detection capabilities and response procedures. Drive continuous improvement of SOC operations by identifying logging gaps, proposing monitoring enhancements, and introducing new detection or response technologies. Maintain comprehensive documentation of investigations, incidents, tuning efforts, and threat intelligence to support reporting, knowledge sharing, and audit readiness. Stay current with evolving threat landscapes, adversary techniques, and emerging security tools and practices to strengthen SOC capabilities. Adapt SOC processes, solutions, and procedures to enhance the monitoring of the organization's IT network health. Ensure security operations and incident response practices are aligned with industry-recognized frameworks such as ISO 27001. Implement solutions within CI/CD pipelines to identify and block security issues reaching production environments Support the development and refinement of SOC procedures, training materials, and operational standards to enhance maturity and consistency across the team. Act as the operational lead for the SOC, overseeing day-to-day activities, workload prioritisation, incident coordination, and service delivery to ensure effective security monitoring and response capabilities. Provide line management, coaching, mentoring, and professional development support to SOC analysts, fostering a high-performing and collaborative security operations culture. What you need to fulfill the role You Must Have: Language & Communication Proficiency in spoken and written English, with the ability to communicate effectively across both technical and non-technical audiences The ability to communicate difficult or sensitive information tactfully Education & Experience: Bachelor's degree in cyber security or a related field, or equivalent professional experience Strong knowledge of cybersecurity principles, threat landscapes, and incident response procedures Awareness of current and emerging cyber threats affecting SaaS organisations Technical Skills: Hands-on experience with implementation, ongoing management and maturing of Security Information and Event Management (SIEM) tools, Endpoint Detection and Response (EDR) platforms, threat intelligence platforms, and vulnerability identification tools Experience integrating custom-built applications into SIEM platforms Experience with implementation of automation solutions, enhancing SOC efficiency and speeding incident response Familiarity with Security Orchestration, Automation, and Response (SOAR) platforms, including developing and maintaining automated response playbooks Experience with threat hunting focused on application code, application, infrastructure and hosting architecture, leveraging coding skills and a solid understanding of the software development lifecycle (SDLC) and infrastructure components Experience managing security issues identified through internal tools and external assessments, ensuring remediation is completed in line with company policies and standards Knowledge of common security frameworks and best practices Experience implementing solutions to detect and block security risks in CI/CD pipelines to prevent vulnerable code from being deployed into production SOC Operations: Experience in complex incident response and investigation, including forensic evidence handling and root cause analysis Experience managing business-as-usual (BAU) security operations workload alongside project-based work, both independently and in coordination with other team members Experience managing outputs from cybersecurity assessment tools, coordinating timely mitigation and remediation with key stakeholders. Experience coordinating outsourced penetration tests, ensuring smooth execution without service disruption Experience conducting security assessment exercises to evaluate SOC operational effectiveness and the organization's ability to respond to cybersecurity incidents Experience in tuning detection rules and alerts to improve accuracy and reduce false positives in security monitoring Technical Expertise: Experience with Azure, Azure AD, and AWS technologies and services Experience conducting forensic analysis of cybersecurity incidents Teamwork & Leadership: . click apply for full job details
19/06/2026
Full time
What do we do? Introducing Thinkproject Platform Pioneering a new era and offering a cohesive alternative to the fragmented landscape of construction software, Thinkproject seamlessly integrates the most extensive portfolio of mature solutions with an innovative platform, providing unparalleled features, integrations, user experiences, and synergies. By combining information management expertise and in-depth knowledge of the building, infrastructure, and energy industries, Thinkproject empowers customers to efficiently deliver, operate, regenerate, and dispose of their built assets across their entire lifecycle through a Connected Data Ecosystem. What your day will look like We are looking for a highly experienced and technically skilled Lead Security Operations Centre (SOC) Analyst to join our team and take ownership of the day to day operation and continuous improvement of our Security Operations Centre. This role combines deep technical expertise with operational leadership, people management, and project delivery responsibilities, ensuring the SOC remains effective in identifying, investigating, and responding to advanced security threats, issues, and vulnerabilities across the organisation. As the lead member of the team, you will oversee SOC operations, manage and coordinate complex security investigations, and provide technical leadership during all incidents. You will lead investigations into sophisticated threats such as advanced persistent threats (APTs), malware outbreaks, and targeted attacks, whilst performing hands on analysis of security events, forensic evidence collection, and root cause analysis. You will also drive the development and enhancement of detection capabilities across SIEM, EDR, and other monitoring technologies, while continuously improving SOC processes, procedures, workflows, automation, and playbooks to increase operational effectiveness and maturity. You will actively engage in threat hunting, leveraging your deep understanding of application code, infrastructure and hosting architectures (cloud and on premises), the software development lifecycle (SDLC), and CI/CD pipeline solutions to identify risks that span traditional and cloud native environments. You will collaborate closely with Security Engineering, IT, DevOps, and application teams to improve detection coverage, enhance monitoring capabilities, and strengthen the organisation's overall security posture. Alongside your technical responsibilities, you will provide line management for SOC analysts, including mentoring, coaching, performance management, and professional development, whilst overseeing workload prioritisation, SOC reporting, and the successful delivery of projects associated with SOC tooling, automation, compliance, and operational maturity. This role encompasses reactive incident response, proactive detection engineering, threat hunting, vulnerability management, and operational leadership. You will also contribute to strategic initiatives including penetration testing coordination, security assessments, audit preparation, threat intelligence activities, and the maintenance of SOC documentation and reporting. This role sits within the Product Operations and Corporate IT branch, reporting to the Director of Cyber Security and Networking, and operates as part of the broader Cyber Security, Network, and Security Engineering teams. Main responsibilities: Independently investigate and respond to security alerts and events from SIEM, EDR, and other security tools across endpoints, networks, cloud platforms, and applications. Lead proactive threat hunting activities, leveraging threat intelligence, application logs, and infrastructure telemetry to uncover indicators of compromise or stealthy threat activity. Perform in-depth analysis of logs, API configurations and traffic, container environments, network data, application and infrastructure architecture, as well as data center hosting environments to support threat detection, incident investigation, and root cause analysis. Manage complex cybersecurity incidents end-to-end, including containment, eradication, recovery, and post-incident analysis, while coordinating closely with cross-functional stakeholders. Deploy, operate, configure, and tune SIEM platforms and detection tools to enhance signal accuracy, reduce alert fatigue, and maintain effective detection coverage. Design, build, and maintain incident response playbooks and automation workflows to increase the efficiency, speed, and consistency of incident response processes. Simultaneously manage multiple active investigations and day-to-day SOC operations, effectively prioritising tasks and managing time under pressure. Conduct forensic analysis during investigations, including evidence preservation, malware analysis, memory examination, and root cause identification. Collaborate with DevOps, IT, and development teams to ensure timely containment, mitigation, and remediation of vulnerabilities and threats. Coordinate outputs from security assessment tools and penetration tests, ensuring clear ownership and timely closure of identified issues. Participate in and lead security testing exercises to evaluate and strengthen detection capabilities and response procedures. Drive continuous improvement of SOC operations by identifying logging gaps, proposing monitoring enhancements, and introducing new detection or response technologies. Maintain comprehensive documentation of investigations, incidents, tuning efforts, and threat intelligence to support reporting, knowledge sharing, and audit readiness. Stay current with evolving threat landscapes, adversary techniques, and emerging security tools and practices to strengthen SOC capabilities. Adapt SOC processes, solutions, and procedures to enhance the monitoring of the organization's IT network health. Ensure security operations and incident response practices are aligned with industry-recognized frameworks such as ISO 27001. Implement solutions within CI/CD pipelines to identify and block security issues reaching production environments Support the development and refinement of SOC procedures, training materials, and operational standards to enhance maturity and consistency across the team. Act as the operational lead for the SOC, overseeing day-to-day activities, workload prioritisation, incident coordination, and service delivery to ensure effective security monitoring and response capabilities. Provide line management, coaching, mentoring, and professional development support to SOC analysts, fostering a high-performing and collaborative security operations culture. What you need to fulfill the role You Must Have: Language & Communication Proficiency in spoken and written English, with the ability to communicate effectively across both technical and non-technical audiences The ability to communicate difficult or sensitive information tactfully Education & Experience: Bachelor's degree in cyber security or a related field, or equivalent professional experience Strong knowledge of cybersecurity principles, threat landscapes, and incident response procedures Awareness of current and emerging cyber threats affecting SaaS organisations Technical Skills: Hands-on experience with implementation, ongoing management and maturing of Security Information and Event Management (SIEM) tools, Endpoint Detection and Response (EDR) platforms, threat intelligence platforms, and vulnerability identification tools Experience integrating custom-built applications into SIEM platforms Experience with implementation of automation solutions, enhancing SOC efficiency and speeding incident response Familiarity with Security Orchestration, Automation, and Response (SOAR) platforms, including developing and maintaining automated response playbooks Experience with threat hunting focused on application code, application, infrastructure and hosting architecture, leveraging coding skills and a solid understanding of the software development lifecycle (SDLC) and infrastructure components Experience managing security issues identified through internal tools and external assessments, ensuring remediation is completed in line with company policies and standards Knowledge of common security frameworks and best practices Experience implementing solutions to detect and block security risks in CI/CD pipelines to prevent vulnerable code from being deployed into production SOC Operations: Experience in complex incident response and investigation, including forensic evidence handling and root cause analysis Experience managing business-as-usual (BAU) security operations workload alongside project-based work, both independently and in coordination with other team members Experience managing outputs from cybersecurity assessment tools, coordinating timely mitigation and remediation with key stakeholders. Experience coordinating outsourced penetration tests, ensuring smooth execution without service disruption Experience conducting security assessment exercises to evaluate SOC operational effectiveness and the organization's ability to respond to cybersecurity incidents Experience in tuning detection rules and alerts to improve accuracy and reduce false positives in security monitoring Technical Expertise: Experience with Azure, Azure AD, and AWS technologies and services Experience conducting forensic analysis of cybersecurity incidents Teamwork & Leadership: . click apply for full job details
Job Type Full-Time - 40 hours per week, Monday to Friday. Airband At Airband, we're building more than broadband networks; we're helping reshape connectivity across the UK. Originally established to tackle the digital divide in rural and underserved communities, Airband has grown into a dynamic broadband provider delivering services through Fibre, Fixed Wireless Access (FWA) and wholesale network partnerships. Role Summary The Senior Data Engineer is responsible for designing, building, and maintaining scalable data platforms and pipelines that enable reliable analytics, reporting, machine learning, and operational decision making. This role combines strong software engineering skills with deep expertise in data architecture, cloud infrastructure, and data governance. The role will work closely with data analysts, systems, IT, and architecture teams on system and data connectivity, extraction, security, and governance. Responsibilities Design, develop, and maintain ETL and ELT pipelines. Write efficient, maintainable Python code using industry standard libraries, PySpark, and Spark. Build and manage data ingestion integrations, including APIs and Databricks Lakeflow Connect. Manage pipelines end to end: set up, monitor, troubleshoot, optimise, and resolve issues. Perform data cleansing, transformation, and validation to ensure high data quality. Guide data analysts in creating performant SQL queries, views, and materialised views with efficient use of memory and compute. Present data in analytics ready formats to support reporting and advanced analysis. Lead and contribute to Databricks (Azure) platform administration and engineering best practices. Monitor and optimise the performance of pipelines, tasks, and databases to ensure cost effective use of compute and storage. Support system updates, tooling upgrades, and ongoing platform improvements. Work with systems, IT, and architecture teams on system and data connectivity, extraction, security, and governance. Implement and maintain appropriate security measures and access controls. Support compliance with data governance and data management standards. Collaborate closely with data analysts, guiding and mentoring them to support their technical growth. Support the manager in team development, process improvement, and platform planning. Provide data expertise for business wide projects as they are planned and delivered. Maintain awareness of new Databricks features, Azure services, and best practices to maximise efficiency and capability. Demonstrate a strong interest in AI and emerging data technologies, exploring practical applications within and beyond Databricks. Apply critical thinking, analytical reasoning, and innovative problem solving to overcome technical challenges. Key Skills Core Key Skills Effective time management and prioritisation. Strong problem solving skill. Attention to detail and accuracy. Ability to work independently and collaboratively as part of a wider team. Embraces change, is adaptable and is willing to learn. Customer / user focused mindset. Planning and organisational skills. Competent use of Microsoft 365 tools. Emotional intelligence and professionalism. Technical & Digital Skills Ability to learn new systems and technologies quickly. Data handling and analysis skills. Understanding of digital ways of working and collaboration tools. Solid experience with Spark and PySpark for distributed data processing. Hands on experience with Databricks on Azure, including platform usage and administration. Experience integrating data via REST APIs and working with databases such as Postgres. Experience of automation. Good understanding of data and systems architecture, including connectivity and integration. Knowledge of operating systems and Azure infrastructure. Qualifications & Professional Knowledge Essential Knowledge of operating systems and Azure infrastructure. Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field. Proven experience of Python. Hands on experience with Databricks on Azure, including platform usage and administration. Experience working in fast paced environment. Circa 5+ years of experience in data engineering, software engineering, or related technical roles. Ability to work remotely, on site and flexibly as required. What can Airband Offer you? 25 days of paid leave a year, rising to 30 plus bank holidays with service. 5% Airband pension plus a minimum 3% employee contribution. Customer referral bonus - a thank you for every customer you send our way. Hybrid working - a mix of working from home and in the office. Free broadband (subject to time served) if you are in our coverage area. 20% off your monthly line rental on EE's phone, tablet, SIM only or mobile broadband plans. Cycle to work, tech scheme, healthcare and medical insurance, dental care, and health cash fund (dependent on length of service). Airshare (employee discount platform) - discounts on everyday shopping, weekly groceries, holidays, the list is endless - save up to £1,000 a year. Refer a friend reward scheme - a selection of great rewards to choose from. Please note that you are required to have the right to work in the UK and we request satisfactory references as part of our recruitment process. A DBS check may be required for a number of our roles, particularly those that are customer facing. Also, a driving licence may be required for positions that require you to be out in the field as part of the role. Recruitment agency support is not required at this time.
19/06/2026
Full time
Job Type Full-Time - 40 hours per week, Monday to Friday. Airband At Airband, we're building more than broadband networks; we're helping reshape connectivity across the UK. Originally established to tackle the digital divide in rural and underserved communities, Airband has grown into a dynamic broadband provider delivering services through Fibre, Fixed Wireless Access (FWA) and wholesale network partnerships. Role Summary The Senior Data Engineer is responsible for designing, building, and maintaining scalable data platforms and pipelines that enable reliable analytics, reporting, machine learning, and operational decision making. This role combines strong software engineering skills with deep expertise in data architecture, cloud infrastructure, and data governance. The role will work closely with data analysts, systems, IT, and architecture teams on system and data connectivity, extraction, security, and governance. Responsibilities Design, develop, and maintain ETL and ELT pipelines. Write efficient, maintainable Python code using industry standard libraries, PySpark, and Spark. Build and manage data ingestion integrations, including APIs and Databricks Lakeflow Connect. Manage pipelines end to end: set up, monitor, troubleshoot, optimise, and resolve issues. Perform data cleansing, transformation, and validation to ensure high data quality. Guide data analysts in creating performant SQL queries, views, and materialised views with efficient use of memory and compute. Present data in analytics ready formats to support reporting and advanced analysis. Lead and contribute to Databricks (Azure) platform administration and engineering best practices. Monitor and optimise the performance of pipelines, tasks, and databases to ensure cost effective use of compute and storage. Support system updates, tooling upgrades, and ongoing platform improvements. Work with systems, IT, and architecture teams on system and data connectivity, extraction, security, and governance. Implement and maintain appropriate security measures and access controls. Support compliance with data governance and data management standards. Collaborate closely with data analysts, guiding and mentoring them to support their technical growth. Support the manager in team development, process improvement, and platform planning. Provide data expertise for business wide projects as they are planned and delivered. Maintain awareness of new Databricks features, Azure services, and best practices to maximise efficiency and capability. Demonstrate a strong interest in AI and emerging data technologies, exploring practical applications within and beyond Databricks. Apply critical thinking, analytical reasoning, and innovative problem solving to overcome technical challenges. Key Skills Core Key Skills Effective time management and prioritisation. Strong problem solving skill. Attention to detail and accuracy. Ability to work independently and collaboratively as part of a wider team. Embraces change, is adaptable and is willing to learn. Customer / user focused mindset. Planning and organisational skills. Competent use of Microsoft 365 tools. Emotional intelligence and professionalism. Technical & Digital Skills Ability to learn new systems and technologies quickly. Data handling and analysis skills. Understanding of digital ways of working and collaboration tools. Solid experience with Spark and PySpark for distributed data processing. Hands on experience with Databricks on Azure, including platform usage and administration. Experience integrating data via REST APIs and working with databases such as Postgres. Experience of automation. Good understanding of data and systems architecture, including connectivity and integration. Knowledge of operating systems and Azure infrastructure. Qualifications & Professional Knowledge Essential Knowledge of operating systems and Azure infrastructure. Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field. Proven experience of Python. Hands on experience with Databricks on Azure, including platform usage and administration. Experience working in fast paced environment. Circa 5+ years of experience in data engineering, software engineering, or related technical roles. Ability to work remotely, on site and flexibly as required. What can Airband Offer you? 25 days of paid leave a year, rising to 30 plus bank holidays with service. 5% Airband pension plus a minimum 3% employee contribution. Customer referral bonus - a thank you for every customer you send our way. Hybrid working - a mix of working from home and in the office. Free broadband (subject to time served) if you are in our coverage area. 20% off your monthly line rental on EE's phone, tablet, SIM only or mobile broadband plans. Cycle to work, tech scheme, healthcare and medical insurance, dental care, and health cash fund (dependent on length of service). Airshare (employee discount platform) - discounts on everyday shopping, weekly groceries, holidays, the list is endless - save up to £1,000 a year. Refer a friend reward scheme - a selection of great rewards to choose from. Please note that you are required to have the right to work in the UK and we request satisfactory references as part of our recruitment process. A DBS check may be required for a number of our roles, particularly those that are customer facing. Also, a driving licence may be required for positions that require you to be out in the field as part of the role. Recruitment agency support is not required at this time.
Ready to make travel easier for millions? Airalo is the world's first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What's in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We're curious problem-solvers who love tackling challenges that haven't been solved before and building tools and processes that scale impact across the company. Airalo's fully remote Data team is growing. You'll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn't just dashboards - it's using data to drive strategy, inform product and growth decisions, and create real impact. You'll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. You will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. What You Will Do: Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers. Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo's data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real time data capabilities as the business matures beyond batch processing. Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem solving to structured, agile delivery. Oversee the maintenance and optimization of high performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company wide goal of 80 % self serve analytics. Must-haves: 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands on background with major cloud platforms (GCP preferred) and cloud native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation. Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Nice-to-have: Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real time event processing. Experience in marketplace, B2C, or high volume transactional businesses. Previous work in globally distributed data environments (multi currency, multi region, multi language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.
19/06/2026
Full time
Ready to make travel easier for millions? Airalo is the world's first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What's in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We're curious problem-solvers who love tackling challenges that haven't been solved before and building tools and processes that scale impact across the company. Airalo's fully remote Data team is growing. You'll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn't just dashboards - it's using data to drive strategy, inform product and growth decisions, and create real impact. You'll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. You will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. What You Will Do: Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers. Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo's data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real time data capabilities as the business matures beyond batch processing. Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem solving to structured, agile delivery. Oversee the maintenance and optimization of high performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company wide goal of 80 % self serve analytics. Must-haves: 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands on background with major cloud platforms (GCP preferred) and cloud native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation. Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Nice-to-have: Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real time event processing. Experience in marketplace, B2C, or high volume transactional businesses. Previous work in globally distributed data environments (multi currency, multi region, multi language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.
Here at innocent, we're on a mission to make it easier for everyone to get more fruit and veg into their bodies. We started back in 1999 and since then we've gone from selling a few smoothies at a music festival to becoming one of Europe's biggest drinks companies with around 1,000 people (and the B Corp seal of approval). It's nice to be able to say things like that but we're not patting ourselves on the back just yet. We want to show everyone that it's possible to be a successful business while looking after people and the planet too, so we're trying to get better in pretty much every way. And that's where this job comes in. We're looking for a Business Intelligence Manager to join our expanding Data, Integrations and Analytics team. Reporting to the Data, Integrations & Analytics Lead, you'll help deliver against our enterprise data strategy, turning data into actionable insights that drive smarter decisions across the business. You'll lead and develop a high performing BI team of analysts and developers focused on data storage, modelling, visualisation, and reporting. Your role will be to nurture talent, foster innovation, and build clear pathways for growth. You'll also ensure our Microsoft data platform, fully integrated with Dynamics 365 ERP, is robust, future proof, and ready to harness the latest advances in AI. A key part of your mission will be championing self serve analytics. You'll lead a community of citizen developers across the business, helping them adopt our enterprise data assets, deliver tactical reporting themselves, and work consistently in line with central standards and guidelines. You'll work closely with senior leaders to align BI initiatives with strategic priorities, balancing innovation with operational excellence. Collaboration will be essential, partnering with The Coca-Cola Company (TCCC), Microsoft, and internal teams to spark innovation and champion data driven decision making. You'll also represent the team in senior project steering panels, shaping outcomes and influencing priorities. You'll be Leading and developing a high performing Business Intelligence team Owning the BI roadmap and prioritising work around clear business value Partnering with senior stakeholders across Commercial, Marketing, Supply Chain and Finance Overseeing delivery of the BI project portfolio, balancing innovation and operational excellence Acting as the senior BI stakeholder for our Microsoft data platform integrated with Dynamics 365 Championing self serve analytics and leading our Citizen Developer community Setting and embedding best practice in data modelling, governance and reporting Representing BI in senior forums and project steering groups You'll have Strong experience leading and embedding a Business Intelligence function Proven people leadership skills, with experience developing high performing teams Deep understanding of data warehousing and dimensional modelling (Kimball) Hands on experience with Microsoft BI technologies (Power BI, SQL, Fabric) Confidence working with senior stakeholders and influencing decisions A pragmatic, value focused mindset focused on outcomes, not just outputs Experience working in ERP environments (ideally Dynamics 365) A collaborative, commercially minded approach You'll get A genuine leadership role shaping how innocent uses, trusts and talks about data The opportunity to lead and grow a talented BI team in a fast moving FMCG environment Hands on involvement in evolving our Microsoft data platform and future AI capabilities Close collaboration with data engineers, senior leaders and strategic partners The chance to set standards and patterns that the wider business will follow A role where you can think strategically, influence at senior levels, and still stay close to the detail when it matters We want innocent to be a great place to work, so we do lots of stuff to make people feel at home and try to make sure everyone's career is shaping up the way they want it to. There are plenty of opportunities to have a go at something new or take things further. In exchange for helping us do business in the right way, you'll get a solid rewards package that includes a salary (phew), private healthcare, a target based bonus, and a bunch of other nice things like a day off on your birthday. And yes, you get free smoothies. We also know that not all our drinkers come from the same background, or think the same - so why should we? At innocent, we want to be a great place to work where a diverse bunch of people from all backgrounds can turn up and thrive. When we hire, we want all the juice, bits, and pulp that make you who you are. Even if you don't think you can tick all the boxes, if the job sounds right for you, come and throw your hat in the ring. Probably best to get your skates on though, as we might close this early if we get loads of applications.
18/06/2026
Full time
Here at innocent, we're on a mission to make it easier for everyone to get more fruit and veg into their bodies. We started back in 1999 and since then we've gone from selling a few smoothies at a music festival to becoming one of Europe's biggest drinks companies with around 1,000 people (and the B Corp seal of approval). It's nice to be able to say things like that but we're not patting ourselves on the back just yet. We want to show everyone that it's possible to be a successful business while looking after people and the planet too, so we're trying to get better in pretty much every way. And that's where this job comes in. We're looking for a Business Intelligence Manager to join our expanding Data, Integrations and Analytics team. Reporting to the Data, Integrations & Analytics Lead, you'll help deliver against our enterprise data strategy, turning data into actionable insights that drive smarter decisions across the business. You'll lead and develop a high performing BI team of analysts and developers focused on data storage, modelling, visualisation, and reporting. Your role will be to nurture talent, foster innovation, and build clear pathways for growth. You'll also ensure our Microsoft data platform, fully integrated with Dynamics 365 ERP, is robust, future proof, and ready to harness the latest advances in AI. A key part of your mission will be championing self serve analytics. You'll lead a community of citizen developers across the business, helping them adopt our enterprise data assets, deliver tactical reporting themselves, and work consistently in line with central standards and guidelines. You'll work closely with senior leaders to align BI initiatives with strategic priorities, balancing innovation with operational excellence. Collaboration will be essential, partnering with The Coca-Cola Company (TCCC), Microsoft, and internal teams to spark innovation and champion data driven decision making. You'll also represent the team in senior project steering panels, shaping outcomes and influencing priorities. You'll be Leading and developing a high performing Business Intelligence team Owning the BI roadmap and prioritising work around clear business value Partnering with senior stakeholders across Commercial, Marketing, Supply Chain and Finance Overseeing delivery of the BI project portfolio, balancing innovation and operational excellence Acting as the senior BI stakeholder for our Microsoft data platform integrated with Dynamics 365 Championing self serve analytics and leading our Citizen Developer community Setting and embedding best practice in data modelling, governance and reporting Representing BI in senior forums and project steering groups You'll have Strong experience leading and embedding a Business Intelligence function Proven people leadership skills, with experience developing high performing teams Deep understanding of data warehousing and dimensional modelling (Kimball) Hands on experience with Microsoft BI technologies (Power BI, SQL, Fabric) Confidence working with senior stakeholders and influencing decisions A pragmatic, value focused mindset focused on outcomes, not just outputs Experience working in ERP environments (ideally Dynamics 365) A collaborative, commercially minded approach You'll get A genuine leadership role shaping how innocent uses, trusts and talks about data The opportunity to lead and grow a talented BI team in a fast moving FMCG environment Hands on involvement in evolving our Microsoft data platform and future AI capabilities Close collaboration with data engineers, senior leaders and strategic partners The chance to set standards and patterns that the wider business will follow A role where you can think strategically, influence at senior levels, and still stay close to the detail when it matters We want innocent to be a great place to work, so we do lots of stuff to make people feel at home and try to make sure everyone's career is shaping up the way they want it to. There are plenty of opportunities to have a go at something new or take things further. In exchange for helping us do business in the right way, you'll get a solid rewards package that includes a salary (phew), private healthcare, a target based bonus, and a bunch of other nice things like a day off on your birthday. And yes, you get free smoothies. We also know that not all our drinkers come from the same background, or think the same - so why should we? At innocent, we want to be a great place to work where a diverse bunch of people from all backgrounds can turn up and thrive. When we hire, we want all the juice, bits, and pulp that make you who you are. Even if you don't think you can tick all the boxes, if the job sounds right for you, come and throw your hat in the ring. Probably best to get your skates on though, as we might close this early if we get loads of applications.
Job Type: Full-Time 40 hours per week, Monday to Friday. At Airband, we're building more than broadband networks, we're helping reshape connectivity across the UK. Originally established to tackle the digital divide in rural and underserved communities, Airband has grown into a dynamic broadband provider delivering services through Fibre, Fixed Wireless Access (FWA) and wholesale network partnerships. Role Summary We are looking for a skilled and motivated Mid-Level Data Engineer to design, build, and maintain reliable, efficient, and scalable data platforms and pipelines. You will play a key role in supporting analytics and business intelligence by ensuring high-quality data ingestion, transformation, and availability, primarily within an Azure Databricks environment. Working closely with the Data and Reporting Manager, Data Analysts, wider IT teams, and external stakeholders, you will help maintain a robust, secure, and cost efficient data platform while contributing to continuous improvement and innovation. Responsibilities Design, develop, and maintain ETL and ELT pipelines. Write efficient, maintainable Python code using industry standard libraries, PySpark, and Spark. Build and manage data ingestion integrations, including APIs and Databricks Lakeflow Connect. Manage pipelines end to end: setup, monitoring, troubleshooting, optimisation, and issue resolution. Perform data cleansing, transformation, and validation to ensure high data quality. Design and implement efficient data models, schemas, and storage solutions. Guide the Data Analysts in creating performant SQL queries, views, and materialised views with efficient use of memory and compute. Present data in analytics ready formats to support reporting and advanced analysis. Manage data post ingestion, including documentation, archiving, retention, and deletion policies. Platform & Performance Lead and contribute to Databricks (Azure) platform administration and engineering best practices. Monitor and optimise the performance of pipelines, tasks, and databases to ensure cost effective use of compute and storage. Implement monitoring, alerting, and regular checks for pipelines and databases. Support system updates, tooling upgrades, and ongoing platform improvements. Integration, Security & Governance Work with systems, IT, and architecture teams on system and data connectivity, extraction, security, and governance. Implement and maintain appropriate security measures and access controls. Support compliance with data governance and data management standards. Collaborate closely with Data Analysts, guiding and mentoring them to support their technical growth. Produce clear, accurate documentation for pipelines, datasets, integrations, and platform usage. Support the Manager in team development, process improvement, and platform planning. Provide data expertise for business wide projects as they are planned and delivered. Maintain awareness of new Databricks features, Azure services, and best practices to maximise efficiency and capability. Demonstrate a strong interest in AI and emerging data technologies, exploring practical applications within and beyond Databricks. Apply critical thinking, analytical reasoning, and innovative problem solving to overcome technical challenges. Key Skills Core Key Skills Effective time management and prioritisation Strong problem-solving skills Attention to detail and accuracy Ability to work independently and collaboratively as part of a wider Airband team Embraces change, is adaptable and is willing to learn Customer / user-focused mindset Planning and organisational skills Competent use of Microsoft 365 tools Emotional intelligence and professionalism Analytical and critical thinker with strong problem solving skills. Collaborative, supportive team player with a willingness to mentor others. Proactive and committed to continuous learning and improvement. Technical & Digital Skills Ability to learn new systems and technologies quickly Data handling and analysis skills Understanding of digital ways of working and collaboration tools Proficiency with Databricks Qualifications & Professional Knowledge SQL proficiency, programming skills (Python), database and data modelling, ETL/ELT pipeline knowledge, cloud and modern data tools (Databricks) Degree in Computer Science, Software Engineering, Information Systems, Data Science Experience Solid experience with Spark and PySpark for distributed data processing. Hands on experience with Databricks on Azure, including platform usage and administration. Experience integrating data via REST APIs and working with databases such as Postgres. Experience of automation. Good understanding of data and systems architecture, including connectivity and integration. Knowledge of operating systems and Azure infrastructure. Previous experience working within the Telecoms sector or similar. What can Airband Offer you? 25 days of paid leave a year rising to 30 plus bank holidays with service. 5% Airband pension plus a minimum 3% employee contribution. Customer referral bonus - a thank you for every customer you send our way. We offer hybrid working - a mix of working from home and in the office. Free Broadband - If you are in our coverage, you can benefit from free broadband with us! (subject to time served) 20% off your monthly line rental on EE's phone, tablet, SIM only or mobile broadband plans. Cycle to work, Tech scheme, Healthcare and medical insurance. Dental care, and Health cash fund (dependent on the length of service) Airshare (employee discount platform) - discounts on everyday shopping, weekly groceries, holidays, the list is endless - save up to £1,000 a year! Refer a friend reward scheme - a selection of great rewards to choose from! Please note that you are required to have the right to work in the UK and we request satisfactory references as part of our recruitment process. A DBS check may be required for a number of our roles, particularly those that are customer-facing. Also, a driving licence may be required for positions that require you to be out in the field as part of the role.
18/06/2026
Full time
Job Type: Full-Time 40 hours per week, Monday to Friday. At Airband, we're building more than broadband networks, we're helping reshape connectivity across the UK. Originally established to tackle the digital divide in rural and underserved communities, Airband has grown into a dynamic broadband provider delivering services through Fibre, Fixed Wireless Access (FWA) and wholesale network partnerships. Role Summary We are looking for a skilled and motivated Mid-Level Data Engineer to design, build, and maintain reliable, efficient, and scalable data platforms and pipelines. You will play a key role in supporting analytics and business intelligence by ensuring high-quality data ingestion, transformation, and availability, primarily within an Azure Databricks environment. Working closely with the Data and Reporting Manager, Data Analysts, wider IT teams, and external stakeholders, you will help maintain a robust, secure, and cost efficient data platform while contributing to continuous improvement and innovation. Responsibilities Design, develop, and maintain ETL and ELT pipelines. Write efficient, maintainable Python code using industry standard libraries, PySpark, and Spark. Build and manage data ingestion integrations, including APIs and Databricks Lakeflow Connect. Manage pipelines end to end: setup, monitoring, troubleshooting, optimisation, and issue resolution. Perform data cleansing, transformation, and validation to ensure high data quality. Design and implement efficient data models, schemas, and storage solutions. Guide the Data Analysts in creating performant SQL queries, views, and materialised views with efficient use of memory and compute. Present data in analytics ready formats to support reporting and advanced analysis. Manage data post ingestion, including documentation, archiving, retention, and deletion policies. Platform & Performance Lead and contribute to Databricks (Azure) platform administration and engineering best practices. Monitor and optimise the performance of pipelines, tasks, and databases to ensure cost effective use of compute and storage. Implement monitoring, alerting, and regular checks for pipelines and databases. Support system updates, tooling upgrades, and ongoing platform improvements. Integration, Security & Governance Work with systems, IT, and architecture teams on system and data connectivity, extraction, security, and governance. Implement and maintain appropriate security measures and access controls. Support compliance with data governance and data management standards. Collaborate closely with Data Analysts, guiding and mentoring them to support their technical growth. Produce clear, accurate documentation for pipelines, datasets, integrations, and platform usage. Support the Manager in team development, process improvement, and platform planning. Provide data expertise for business wide projects as they are planned and delivered. Maintain awareness of new Databricks features, Azure services, and best practices to maximise efficiency and capability. Demonstrate a strong interest in AI and emerging data technologies, exploring practical applications within and beyond Databricks. Apply critical thinking, analytical reasoning, and innovative problem solving to overcome technical challenges. Key Skills Core Key Skills Effective time management and prioritisation Strong problem-solving skills Attention to detail and accuracy Ability to work independently and collaboratively as part of a wider Airband team Embraces change, is adaptable and is willing to learn Customer / user-focused mindset Planning and organisational skills Competent use of Microsoft 365 tools Emotional intelligence and professionalism Analytical and critical thinker with strong problem solving skills. Collaborative, supportive team player with a willingness to mentor others. Proactive and committed to continuous learning and improvement. Technical & Digital Skills Ability to learn new systems and technologies quickly Data handling and analysis skills Understanding of digital ways of working and collaboration tools Proficiency with Databricks Qualifications & Professional Knowledge SQL proficiency, programming skills (Python), database and data modelling, ETL/ELT pipeline knowledge, cloud and modern data tools (Databricks) Degree in Computer Science, Software Engineering, Information Systems, Data Science Experience Solid experience with Spark and PySpark for distributed data processing. Hands on experience with Databricks on Azure, including platform usage and administration. Experience integrating data via REST APIs and working with databases such as Postgres. Experience of automation. Good understanding of data and systems architecture, including connectivity and integration. Knowledge of operating systems and Azure infrastructure. Previous experience working within the Telecoms sector or similar. What can Airband Offer you? 25 days of paid leave a year rising to 30 plus bank holidays with service. 5% Airband pension plus a minimum 3% employee contribution. Customer referral bonus - a thank you for every customer you send our way. We offer hybrid working - a mix of working from home and in the office. Free Broadband - If you are in our coverage, you can benefit from free broadband with us! (subject to time served) 20% off your monthly line rental on EE's phone, tablet, SIM only or mobile broadband plans. Cycle to work, Tech scheme, Healthcare and medical insurance. Dental care, and Health cash fund (dependent on the length of service) Airshare (employee discount platform) - discounts on everyday shopping, weekly groceries, holidays, the list is endless - save up to £1,000 a year! Refer a friend reward scheme - a selection of great rewards to choose from! Please note that you are required to have the right to work in the UK and we request satisfactory references as part of our recruitment process. A DBS check may be required for a number of our roles, particularly those that are customer-facing. Also, a driving licence may be required for positions that require you to be out in the field as part of the role.
At Engine by Starling, we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling, and two years ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. We draw upon our experience as knowledgeable bankers, and best in class technologists to become the chosen option for these banks, and preferred partners for leading consultancies. As a company, everyone is expected to roll up their sleeves to help deliver great outcomes for our clients. We are an engineering led company and we're looking for someone who will be excited by the potential for Engine's technology to transform banking in different markets around the world. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. About the Role To support our rapid growth, we are looking for talented engineers to join our foundational in-house SecOps team. This is a "Full-Stack" security role: you will move beyond traditional monitoring to develop and operate our security capabilities. We are looking for engineers who are masters of automation but remain grounded in analyst fundamentals. You should have a keen interest in leveraging AI and Large Language Models (LLMs) to reduce SOC toil - using AI to summarise complex alerts, auto-generate YARA-L detections, or build intelligent playbooks to stay ahead of modern threats. Responsibilities Security Monitoring & Alert Triage Active Monitoring: Monitor security alerts and events generated by the SecOps platform and integrated cloud security tools. Triage & Analysis: Perform deep-dive analysis of security incidents and anomalies, accurately distinguishing between true positives and false positives. Prioritisation: Manage the incident queue, prioritising alerts based on severity, potential impact, and business criticality. Detection Engineering & Automation (IaC) Detection as Code: Design and maintain sophisticated detection logic using YARA-L. Manage the lifecycle of these rules and configurations using IaC principles for version control. SOAR Extension: Lead the automation of response playbooks. You will write and extend SOAR capabilities using Python, creating custom integrations and "Managers" to connect SecOps with internal APIs. Tool Optimisation: Identify opportunities for automation to streamline operations and contribute to the continuous tuning and maintenance of SOC tools. Incident Response & Investigation End-to-End Investigation: Investigate incidents thoroughly, leveraging logs from platforms, endpoints, and applications mapped to the Unified Data Model (UDM). Incident Lifecycle: Lead containment, eradication, and recovery efforts in collaboration with Security and Technology teams. Documentation: Maintain comprehensive records of incident details, findings, and remediation steps to ensure a high standard of auditability. Collaboration & Threat Intelligence Group Collaboration: Work closely with the Group SOC team to align on global security standards and coordinate response efforts during cross-entity incidents. Threat Hunting: Stay informed about the latest cyber threats and cloud-specific vulnerabilities, conducting proactive threat-hunting activities using available telemetry. 3+ years of experience in a SOC or SecOps Engineering role, with a strong background in both alert triage and security engineering. Proficiency in Python: Ability to write clean code to automate workflows or interact with security APIs. Cloud Fluency: Experience with security monitoring and incident response in cloud environments (AWS/GCP/Azure). Infrastructure as Code: Familiarity with managing security configurations through Git-based workflows. Framework Knowledge: Strong understanding of attack vectors and the MITRE ATT&CK framework. Education: A degree in a cyber-related field or relevant certifications (e.g., CompTIA Security+, CySA+, GCIH) is beneficial. Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with BISO Stage 2 - 60 min with Team Members Stage 3 - Final with CTO 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
18/06/2026
Full time
At Engine by Starling, we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling, and two years ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. We draw upon our experience as knowledgeable bankers, and best in class technologists to become the chosen option for these banks, and preferred partners for leading consultancies. As a company, everyone is expected to roll up their sleeves to help deliver great outcomes for our clients. We are an engineering led company and we're looking for someone who will be excited by the potential for Engine's technology to transform banking in different markets around the world. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. About the Role To support our rapid growth, we are looking for talented engineers to join our foundational in-house SecOps team. This is a "Full-Stack" security role: you will move beyond traditional monitoring to develop and operate our security capabilities. We are looking for engineers who are masters of automation but remain grounded in analyst fundamentals. You should have a keen interest in leveraging AI and Large Language Models (LLMs) to reduce SOC toil - using AI to summarise complex alerts, auto-generate YARA-L detections, or build intelligent playbooks to stay ahead of modern threats. Responsibilities Security Monitoring & Alert Triage Active Monitoring: Monitor security alerts and events generated by the SecOps platform and integrated cloud security tools. Triage & Analysis: Perform deep-dive analysis of security incidents and anomalies, accurately distinguishing between true positives and false positives. Prioritisation: Manage the incident queue, prioritising alerts based on severity, potential impact, and business criticality. Detection Engineering & Automation (IaC) Detection as Code: Design and maintain sophisticated detection logic using YARA-L. Manage the lifecycle of these rules and configurations using IaC principles for version control. SOAR Extension: Lead the automation of response playbooks. You will write and extend SOAR capabilities using Python, creating custom integrations and "Managers" to connect SecOps with internal APIs. Tool Optimisation: Identify opportunities for automation to streamline operations and contribute to the continuous tuning and maintenance of SOC tools. Incident Response & Investigation End-to-End Investigation: Investigate incidents thoroughly, leveraging logs from platforms, endpoints, and applications mapped to the Unified Data Model (UDM). Incident Lifecycle: Lead containment, eradication, and recovery efforts in collaboration with Security and Technology teams. Documentation: Maintain comprehensive records of incident details, findings, and remediation steps to ensure a high standard of auditability. Collaboration & Threat Intelligence Group Collaboration: Work closely with the Group SOC team to align on global security standards and coordinate response efforts during cross-entity incidents. Threat Hunting: Stay informed about the latest cyber threats and cloud-specific vulnerabilities, conducting proactive threat-hunting activities using available telemetry. 3+ years of experience in a SOC or SecOps Engineering role, with a strong background in both alert triage and security engineering. Proficiency in Python: Ability to write clean code to automate workflows or interact with security APIs. Cloud Fluency: Experience with security monitoring and incident response in cloud environments (AWS/GCP/Azure). Infrastructure as Code: Familiarity with managing security configurations through Git-based workflows. Framework Knowledge: Strong understanding of attack vectors and the MITRE ATT&CK framework. Education: A degree in a cyber-related field or relevant certifications (e.g., CompTIA Security+, CySA+, GCIH) is beneficial. Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with BISO Stage 2 - 60 min with Team Members Stage 3 - Final with CTO 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
We are seeking an experienced Delivery Lead with a strong track record of leading complex technology delivery within large, global financial services organisations. This individual will combine delivery leadership with genuine platform literacy, particularly across the Salesforce ecosystem and sales enablement technologies such as Seismic, and will bring the judgement and credibility needed to operate at a senior level across business and technology stakeholders. You will take accountability for delivery outcomes across multiple cross functional teams, shaping priorities, challenging constructively and maintaining momentum in a fast moving, vendor rich environment. You are equally effective coaching teams, managing governance and navigating senior stakeholder relationships. You understand that CRM and content enablement platforms in asset management sit at the intersection of commercial, regulatory and operational priorities, and you bring enough domain awareness to ensure delivery decisions reflect that context. Above all, you are pragmatic. You adapt your approach to context, prioritise what delivers the most value, and recognise that sustained delivery depends on both mindset and discipline. The team The Client Technology team sits within the Asset Management Platform (AMP), a global technology change and delivery organisation responsible for delivering the platforms that underpin Schroders' investment, client and operational capabilities. Client Technology is responsible for all platforms associated with client relationship management and client engagement, with a strong emphasis on the Salesforce ecosystem (including Sales Cloud, Service Cloud and Financial Services Cloud) and the Seismic Enablement Cloud for sales content management, personalisation and distribution. What you'll do Accountable for the delivery of a backlog of work associated with one or more Client Technology products or change initiatives of varied complexity, through one or more cross functional teams. Build and maintain motivated teams with your product, engineering and analyst peers, ensuring there is an iterative plan to work towards the regular delivery of value that is balanced between technical improvement and change. Lead delivery across client technology platforms including Salesforce and Seismic, covering CRM enhancements, data integrations, content enablement and emerging AI driven capabilities. Where required, manage platform specific considerations such as release cycles, sandbox strategies and regression testing. Coach the team and those with influence upon them. Apply the most appropriate agile and lean tools and techniques and facilitate continuous improvement. Proactively manage risks and dependencies, overcome obstacles, and get the best value against constraints, including the tracking and challenge of vendor and third party delivery commitments where applicable. Support data integration and platform connectivity initiatives, helping ensure Salesforce and associated client technology platforms are effectively connected across the broader technology landscape. Establish and maintain delivery governance appropriate to team and initiative complexity, ensuring clear reporting, decision making and escalation structures that align to AMP enterprise delivery standards and Global Technology lifecycle processes. Facilitate collaborative sessions, workshops and stakeholder alignment, helping teams get closer to the needs of users and ensuring alignment between client facing business teams, product leads and delivery. Protect the team's ability to focus on what is most important. Capture and analyse delivery metrics to provide appropriate insights to the team and their stakeholders, using data and context to demonstrate progress and improvement. Coordinate delivery across workstreams that span both Public and Private Markets businesses, managing dependencies with adjacent AMP platforms where client technology initiatives intersect. Work with business stakeholders and product leads to ensure platform changes are accompanied by appropriate change readiness activities, supporting adoption and realisation of intended business value. Develop and support the people around you, helping them grow in capability and confidence. Work in close collaboration with your engineering and product counterparts, sharing responsibility for in role development and career progression. Collaborate with and contribute to the AMP Delivery Community of Practice, helping to define good practice and contributing to the ongoing improvement of delivery standards and ways of working. Maintain clear oversight of delivery finances, including resource forecasting, vendor cost tracking and alignment to approved investment cases. Ensure accurate documentation, data and artefacts are maintained to support transparency, governance and finances. The knowledge, experience and qualifications you need Experience of leading and motivating multiple multi skilled teams towards a shared outcome and creating the right environment for them to work effectively, empowering them to deliver. Experience influencing engineers, QAs, analysts and wider stakeholders in the adoption and appropriate application of agile ways of working. Strong working knowledge of the Salesforce platform (Sales Cloud, Service Cloud or Financial Services Cloud), with sufficient depth to understand solution design decisions, release management processes and platform constraints without necessarily being a hands on administrator. Familiarity with sales enablement and content management platforms, ideally Seismic, including an understanding of content automation, personalisation workflows, analytics and integration with CRM systems. Understanding of Salesforce release management processes, including sandbox management, deployment pipelines and platform release impact assessment. Experience of managing multiple initiatives, helping teams provide transparency of their work and their capacity and fostering effective collaboration between teams and stakeholders. The tenacity to remove bottlenecks and impediments to efficient delivery. Experience creating delivery metrics and reporting, understanding the difference between leading and lagging indicators and the optimum usage of them. Knowledge and experience of the full software development lifecycle. Excellent communication and influence skills, with the ability to navigate complex and senior stakeholder networks. Extensive experience in technology change delivery within a large, global and regulated financial services organisation, with an awareness of how regulatory and compliance requirements (for example, data privacy, client communications, marketing compliance) influence delivery decisions. Experience working with global colleagues and stakeholders, with sensitivity to cultural differences, time zones and distributed delivery models. Salesforce certifications such as Certified Associate / Administrator or similar. Experience delivering within complex, multi vendor and third party ecosystems, including management of strategic platform providers and external delivery partners. Experience of working within client engagement, distribution or client relationship management functions in an asset or investment management context. Understanding of data integration patterns and how CRM platforms connect with upstream and downstream systems (APIs, ETL, data lakes) to support joined up client journeys. Exposure to AI driven delivery capabilities and how these integrate into delivery planning, content automation and client engagement workflows. Understanding of modern technology architectures, including cloud based platforms and API driven ecosystems. What you'll be like Outcome-focused practitioner You take ownership for delivering measurable value through iterative, team based delivery. You balance business urgency with technical quality and are relentless in keeping teams focused on what matters most. You understand that delivery is about outcomes, not activity, and you hold yourself and your teams to that standard. You bring enough depth in Salesforce and sales enablement platforms to ask the right questions, challenge assumptions and hold solution quality to account. You don't need to be a hands on administrator, but you understand how these platforms work, how they are configured and released, and how they connect to the broader technology landscape. That literacy earns you credibility with engineers, analysts and business stakeholders alike. Servant leader and team builder You create the conditions for high performing teams. You coach, shield and empower people to do their best work while fostering accountability and continuous learning. You care about the development of the individuals around you, not just the delivery of the work, and you lead by example in how you collaborate, communicate and hold yourself to account. Pragmatic and adaptive You apply the right methodology to the right context, recognising that Salesforce delivery often blends agile, iterative and configuration led approaches. You are comfortable with ambiguity and adjust your approach as the landscape evolves. You don't over engineer process for the sake of it, but you know when structure and discipline are needed to keep things on track. We recognise potential, whoever you are Our purpose is to provide excellent investment performance to clients through active management . click apply for full job details
18/06/2026
Full time
We are seeking an experienced Delivery Lead with a strong track record of leading complex technology delivery within large, global financial services organisations. This individual will combine delivery leadership with genuine platform literacy, particularly across the Salesforce ecosystem and sales enablement technologies such as Seismic, and will bring the judgement and credibility needed to operate at a senior level across business and technology stakeholders. You will take accountability for delivery outcomes across multiple cross functional teams, shaping priorities, challenging constructively and maintaining momentum in a fast moving, vendor rich environment. You are equally effective coaching teams, managing governance and navigating senior stakeholder relationships. You understand that CRM and content enablement platforms in asset management sit at the intersection of commercial, regulatory and operational priorities, and you bring enough domain awareness to ensure delivery decisions reflect that context. Above all, you are pragmatic. You adapt your approach to context, prioritise what delivers the most value, and recognise that sustained delivery depends on both mindset and discipline. The team The Client Technology team sits within the Asset Management Platform (AMP), a global technology change and delivery organisation responsible for delivering the platforms that underpin Schroders' investment, client and operational capabilities. Client Technology is responsible for all platforms associated with client relationship management and client engagement, with a strong emphasis on the Salesforce ecosystem (including Sales Cloud, Service Cloud and Financial Services Cloud) and the Seismic Enablement Cloud for sales content management, personalisation and distribution. What you'll do Accountable for the delivery of a backlog of work associated with one or more Client Technology products or change initiatives of varied complexity, through one or more cross functional teams. Build and maintain motivated teams with your product, engineering and analyst peers, ensuring there is an iterative plan to work towards the regular delivery of value that is balanced between technical improvement and change. Lead delivery across client technology platforms including Salesforce and Seismic, covering CRM enhancements, data integrations, content enablement and emerging AI driven capabilities. Where required, manage platform specific considerations such as release cycles, sandbox strategies and regression testing. Coach the team and those with influence upon them. Apply the most appropriate agile and lean tools and techniques and facilitate continuous improvement. Proactively manage risks and dependencies, overcome obstacles, and get the best value against constraints, including the tracking and challenge of vendor and third party delivery commitments where applicable. Support data integration and platform connectivity initiatives, helping ensure Salesforce and associated client technology platforms are effectively connected across the broader technology landscape. Establish and maintain delivery governance appropriate to team and initiative complexity, ensuring clear reporting, decision making and escalation structures that align to AMP enterprise delivery standards and Global Technology lifecycle processes. Facilitate collaborative sessions, workshops and stakeholder alignment, helping teams get closer to the needs of users and ensuring alignment between client facing business teams, product leads and delivery. Protect the team's ability to focus on what is most important. Capture and analyse delivery metrics to provide appropriate insights to the team and their stakeholders, using data and context to demonstrate progress and improvement. Coordinate delivery across workstreams that span both Public and Private Markets businesses, managing dependencies with adjacent AMP platforms where client technology initiatives intersect. Work with business stakeholders and product leads to ensure platform changes are accompanied by appropriate change readiness activities, supporting adoption and realisation of intended business value. Develop and support the people around you, helping them grow in capability and confidence. Work in close collaboration with your engineering and product counterparts, sharing responsibility for in role development and career progression. Collaborate with and contribute to the AMP Delivery Community of Practice, helping to define good practice and contributing to the ongoing improvement of delivery standards and ways of working. Maintain clear oversight of delivery finances, including resource forecasting, vendor cost tracking and alignment to approved investment cases. Ensure accurate documentation, data and artefacts are maintained to support transparency, governance and finances. The knowledge, experience and qualifications you need Experience of leading and motivating multiple multi skilled teams towards a shared outcome and creating the right environment for them to work effectively, empowering them to deliver. Experience influencing engineers, QAs, analysts and wider stakeholders in the adoption and appropriate application of agile ways of working. Strong working knowledge of the Salesforce platform (Sales Cloud, Service Cloud or Financial Services Cloud), with sufficient depth to understand solution design decisions, release management processes and platform constraints without necessarily being a hands on administrator. Familiarity with sales enablement and content management platforms, ideally Seismic, including an understanding of content automation, personalisation workflows, analytics and integration with CRM systems. Understanding of Salesforce release management processes, including sandbox management, deployment pipelines and platform release impact assessment. Experience of managing multiple initiatives, helping teams provide transparency of their work and their capacity and fostering effective collaboration between teams and stakeholders. The tenacity to remove bottlenecks and impediments to efficient delivery. Experience creating delivery metrics and reporting, understanding the difference between leading and lagging indicators and the optimum usage of them. Knowledge and experience of the full software development lifecycle. Excellent communication and influence skills, with the ability to navigate complex and senior stakeholder networks. Extensive experience in technology change delivery within a large, global and regulated financial services organisation, with an awareness of how regulatory and compliance requirements (for example, data privacy, client communications, marketing compliance) influence delivery decisions. Experience working with global colleagues and stakeholders, with sensitivity to cultural differences, time zones and distributed delivery models. Salesforce certifications such as Certified Associate / Administrator or similar. Experience delivering within complex, multi vendor and third party ecosystems, including management of strategic platform providers and external delivery partners. Experience of working within client engagement, distribution or client relationship management functions in an asset or investment management context. Understanding of data integration patterns and how CRM platforms connect with upstream and downstream systems (APIs, ETL, data lakes) to support joined up client journeys. Exposure to AI driven delivery capabilities and how these integrate into delivery planning, content automation and client engagement workflows. Understanding of modern technology architectures, including cloud based platforms and API driven ecosystems. What you'll be like Outcome-focused practitioner You take ownership for delivering measurable value through iterative, team based delivery. You balance business urgency with technical quality and are relentless in keeping teams focused on what matters most. You understand that delivery is about outcomes, not activity, and you hold yourself and your teams to that standard. You bring enough depth in Salesforce and sales enablement platforms to ask the right questions, challenge assumptions and hold solution quality to account. You don't need to be a hands on administrator, but you understand how these platforms work, how they are configured and released, and how they connect to the broader technology landscape. That literacy earns you credibility with engineers, analysts and business stakeholders alike. Servant leader and team builder You create the conditions for high performing teams. You coach, shield and empower people to do their best work while fostering accountability and continuous learning. You care about the development of the individuals around you, not just the delivery of the work, and you lead by example in how you collaborate, communicate and hold yourself to account. Pragmatic and adaptive You apply the right methodology to the right context, recognising that Salesforce delivery often blends agile, iterative and configuration led approaches. You are comfortable with ambiguity and adjust your approach as the landscape evolves. You don't over engineer process for the sake of it, but you know when structure and discipline are needed to keep things on track. We recognise potential, whoever you are Our purpose is to provide excellent investment performance to clients through active management . click apply for full job details
Senior Business Analyst - London Market Transformation Ready to shape underwriting transformation at scale? We're partnering with a global insurer undergoing a major multi-year transformation, redefining how underwriting, policy administration, and data flow across the business. This is a senior, high-impact BA role sitting at the heart of delivery-working directly with underwriting, technology, and leadership to drive real change. Responsibilities Lead requirements across complex, enterprise-level initiatives Bridge the gap between underwriting, IT, and data teams Drive process, data and system improvements across policy administration and downstream integrations Own high-quality deliverables (user stories, process/data flows, functional specs) Play a key role in UAT, solution shaping, and stakeholder alignment Qualifications 7 years BA experience within London Market / Lloyd's insurance Strong exposure to underwriting / policy admin transformation Experience working closely with Dev, QA, and architecture teams Ability to challenge stakeholders and shape requirements (not just document them) Experience across Agile & Waterfall environments Policy administration systems experience essential (Guidewire highly desirable) Strong understanding of data flows / integrations Benefits High visibility role within a strategic transformation programme Opportunity to influence end-to-end delivery and business outcomes Collaborative, forward-thinking environment with strong investment in technology Genuine impact on how underwriting operates going forward Location: London (hybrid)
18/06/2026
Full time
Senior Business Analyst - London Market Transformation Ready to shape underwriting transformation at scale? We're partnering with a global insurer undergoing a major multi-year transformation, redefining how underwriting, policy administration, and data flow across the business. This is a senior, high-impact BA role sitting at the heart of delivery-working directly with underwriting, technology, and leadership to drive real change. Responsibilities Lead requirements across complex, enterprise-level initiatives Bridge the gap between underwriting, IT, and data teams Drive process, data and system improvements across policy administration and downstream integrations Own high-quality deliverables (user stories, process/data flows, functional specs) Play a key role in UAT, solution shaping, and stakeholder alignment Qualifications 7 years BA experience within London Market / Lloyd's insurance Strong exposure to underwriting / policy admin transformation Experience working closely with Dev, QA, and architecture teams Ability to challenge stakeholders and shape requirements (not just document them) Experience across Agile & Waterfall environments Policy administration systems experience essential (Guidewire highly desirable) Strong understanding of data flows / integrations Benefits High visibility role within a strategic transformation programme Opportunity to influence end-to-end delivery and business outcomes Collaborative, forward-thinking environment with strong investment in technology Genuine impact on how underwriting operates going forward Location: London (hybrid)
Viridien ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.Team DescriptionData Hub is a dynamic team of scientists and developers who love solving complex problems. We provide leading edge technology solutions and services to solve our clients' data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding.You will be based in one of our hub locations (North Wales or Crawley), hybrid or remote will be considered, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts.Principal AccountabilitiesPlan, develop, deploy and maintain connectors and integrations between our data system and clients systems, such as systems of record or downstream consumption channels.Contribute to the development of our data platform infrastructure. This includes our orchestration systems, data processing logic and the interactions between system components.Help develop a flexible framework for data transformations by creating a modular system where new transformation logic can be easily developed and integrated into our product offering.Build and maintain robust data pipelines with a focus on dynamic, end-to-end, metadata driven solutions that consider a wide range of implications, such as downstream application/UI data access patterns, maintainability, monitoring, access control etc.Influence our choice of architecture and technology. You will be expected to communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders.Awareness of best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL). You will have a keen eye for minimising technical debt and optimising performance where it matters.Partner with data analysts, data scientists, and other end-users to understand their requirements and ensure the platform and its data are accessible, reliable, and meet project delivery needs.Share your work and best practices; collaborate with others; ensure what we build and how we build it aligns to our ambition for growth.Qualifications and ExperienceKey CompetenciesExperience of developing data integrations with geoscience or other scientific data types.Experience with geospatially referenced data and experience with oil and gas and/or mining domains highly advantageousPrevious experience of designing, building and maintaining data transformations in a system or product setting.Ability to write secure and performant code in Python and SQL, and ability to optimise queries and data pipelines.Experience using orchestrators and ETL tools, especially AirflowSignificant RDBMS experience (PostgreSQL, Oracle). Experience with other database types such as NoSQL database (e.g. Neo4j, Elastic) or Vector also beneficialData architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture).Experience using docker, VCS (git, Gitlab) and knowledge of CI/CDEnthusiastic attitude towards learning and the flexibility to adapt to new challenges or changes in direction.Experience of the following tools / technologies will also be beneficial:Knowledge of DevOps and DataOps best practices.Kubernetes deployment experience.Microsoft Azure and cloud native data technologies, e.g. Azure Data Factory, Databricks.RESTful API / GraphQL.Infrastructure as CodePrevious experience building web applications together with wide-ranging knowledge of web frameworks, HTTP, networking, security etc.Our Hiring ProcessAt Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.
18/06/2026
Full time
Viridien ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.Team DescriptionData Hub is a dynamic team of scientists and developers who love solving complex problems. We provide leading edge technology solutions and services to solve our clients' data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding.You will be based in one of our hub locations (North Wales or Crawley), hybrid or remote will be considered, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts.Principal AccountabilitiesPlan, develop, deploy and maintain connectors and integrations between our data system and clients systems, such as systems of record or downstream consumption channels.Contribute to the development of our data platform infrastructure. This includes our orchestration systems, data processing logic and the interactions between system components.Help develop a flexible framework for data transformations by creating a modular system where new transformation logic can be easily developed and integrated into our product offering.Build and maintain robust data pipelines with a focus on dynamic, end-to-end, metadata driven solutions that consider a wide range of implications, such as downstream application/UI data access patterns, maintainability, monitoring, access control etc.Influence our choice of architecture and technology. You will be expected to communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders.Awareness of best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL). You will have a keen eye for minimising technical debt and optimising performance where it matters.Partner with data analysts, data scientists, and other end-users to understand their requirements and ensure the platform and its data are accessible, reliable, and meet project delivery needs.Share your work and best practices; collaborate with others; ensure what we build and how we build it aligns to our ambition for growth.Qualifications and ExperienceKey CompetenciesExperience of developing data integrations with geoscience or other scientific data types.Experience with geospatially referenced data and experience with oil and gas and/or mining domains highly advantageousPrevious experience of designing, building and maintaining data transformations in a system or product setting.Ability to write secure and performant code in Python and SQL, and ability to optimise queries and data pipelines.Experience using orchestrators and ETL tools, especially AirflowSignificant RDBMS experience (PostgreSQL, Oracle). Experience with other database types such as NoSQL database (e.g. Neo4j, Elastic) or Vector also beneficialData architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture).Experience using docker, VCS (git, Gitlab) and knowledge of CI/CDEnthusiastic attitude towards learning and the flexibility to adapt to new challenges or changes in direction.Experience of the following tools / technologies will also be beneficial:Knowledge of DevOps and DataOps best practices.Kubernetes deployment experience.Microsoft Azure and cloud native data technologies, e.g. Azure Data Factory, Databricks.RESTful API / GraphQL.Infrastructure as CodePrevious experience building web applications together with wide-ranging knowledge of web frameworks, HTTP, networking, security etc.Our Hiring ProcessAt Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.
Viridien ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.Team DescriptionData Hub is a dynamic team of scientists and developers who love solving complex problems. We provide leading edge technology solutions and services to solve our clients' data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding.You will be based in one of our hub locations (North Wales or Crawley), hybrid or remote will be considered, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts.Principal AccountabilitiesPlan, develop, deploy and maintain connectors and integrations between our data system and clients systems, such as systems of record or downstream consumption channels.Contribute to the development of our data platform infrastructure. This includes our orchestration systems, data processing logic and the interactions between system components.Help develop a flexible framework for data transformations by creating a modular system where new transformation logic can be easily developed and integrated into our product offering.Build and maintain robust data pipelines with a focus on dynamic, end-to-end, metadata driven solutions that consider a wide range of implications, such as downstream application/UI data access patterns, maintainability, monitoring, access control etc.Influence our choice of architecture and technology. You will be expected to communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders.Awareness of best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL). You will have a keen eye for minimising technical debt and optimising performance where it matters.Partner with data analysts, data scientists, and other end-users to understand their requirements and ensure the platform and its data are accessible, reliable, and meet project delivery needs.Share your work and best practices; collaborate with others; ensure what we build and how we build it aligns to our ambition for growth.Qualifications and ExperienceKey CompetenciesExperience of developing data integrations with geoscience or other scientific data types.Experience with geospatially referenced data and experience with oil and gas and/or mining domains highly advantageousPrevious experience of designing, building and maintaining data transformations in a system or product setting.Ability to write secure and performant code in Python and SQL, and ability to optimise queries and data pipelines.Experience using orchestrators and ETL tools, especially AirflowSignificant RDBMS experience (PostgreSQL, Oracle). Experience with other database types such as NoSQL database (e.g. Neo4j, Elastic) or Vector also beneficialData architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture).Experience using docker, VCS (git, Gitlab) and knowledge of CI/CDEnthusiastic attitude towards learning and the flexibility to adapt to new challenges or changes in direction.Experience of the following tools / technologies will also be beneficial:Knowledge of DevOps and DataOps best practices.Kubernetes deployment experience.Microsoft Azure and cloud native data technologies, e.g. Azure Data Factory, Databricks.RESTful API / GraphQL.Infrastructure as CodePrevious experience building web applications together with wide-ranging knowledge of web frameworks, HTTP, networking, security etc.Our Hiring ProcessAt Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.
17/06/2026
Full time
Viridien ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.Team DescriptionData Hub is a dynamic team of scientists and developers who love solving complex problems. We provide leading edge technology solutions and services to solve our clients' data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding.You will be based in one of our hub locations (North Wales or Crawley), hybrid or remote will be considered, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts.Principal AccountabilitiesPlan, develop, deploy and maintain connectors and integrations between our data system and clients systems, such as systems of record or downstream consumption channels.Contribute to the development of our data platform infrastructure. This includes our orchestration systems, data processing logic and the interactions between system components.Help develop a flexible framework for data transformations by creating a modular system where new transformation logic can be easily developed and integrated into our product offering.Build and maintain robust data pipelines with a focus on dynamic, end-to-end, metadata driven solutions that consider a wide range of implications, such as downstream application/UI data access patterns, maintainability, monitoring, access control etc.Influence our choice of architecture and technology. You will be expected to communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders.Awareness of best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL). You will have a keen eye for minimising technical debt and optimising performance where it matters.Partner with data analysts, data scientists, and other end-users to understand their requirements and ensure the platform and its data are accessible, reliable, and meet project delivery needs.Share your work and best practices; collaborate with others; ensure what we build and how we build it aligns to our ambition for growth.Qualifications and ExperienceKey CompetenciesExperience of developing data integrations with geoscience or other scientific data types.Experience with geospatially referenced data and experience with oil and gas and/or mining domains highly advantageousPrevious experience of designing, building and maintaining data transformations in a system or product setting.Ability to write secure and performant code in Python and SQL, and ability to optimise queries and data pipelines.Experience using orchestrators and ETL tools, especially AirflowSignificant RDBMS experience (PostgreSQL, Oracle). Experience with other database types such as NoSQL database (e.g. Neo4j, Elastic) or Vector also beneficialData architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture).Experience using docker, VCS (git, Gitlab) and knowledge of CI/CDEnthusiastic attitude towards learning and the flexibility to adapt to new challenges or changes in direction.Experience of the following tools / technologies will also be beneficial:Knowledge of DevOps and DataOps best practices.Kubernetes deployment experience.Microsoft Azure and cloud native data technologies, e.g. Azure Data Factory, Databricks.RESTful API / GraphQL.Infrastructure as CodePrevious experience building web applications together with wide-ranging knowledge of web frameworks, HTTP, networking, security etc.Our Hiring ProcessAt Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.
At Convergence, our success over the past 20 years hasn't happened by chance. It's been built on strong foundations, a resilient work ethic, and a constant drive to improve. At the heart of it all are our people - because we know we're only as good as the team we build. We're a customer-focused, product-led business, always striving to deliver industry leading connectivity backed by exceptional service. Now, we're looking for a Technical Data Analyst to help us better understand, optimise, and evolve the systems and data that power everything we do. What It's Really Like Here The pace and intensity are higher than most environments in our sector. The workload is typically around 30% greater than many people will have experienced elsewhere -not because we are chaotic, but because we are ambitious and constantly building. We grow organically and through acquisition, continuously integrating, improving and raising the bar. The landscape evolves, priorities shift, and expectations rise. If you prefer a predictable, static environment, this probably won't feel comfortable. If you are energised by growth, movement and high standards, it can be deeply rewarding. Your strengths will have a bigger platform here -and you will be stretched behaviourally more than in most environments. We value respectful honesty: anyone can challenge an idea; hierarchy doesn't protect thinking and getting it right matters more than being right. Ego doesn't perform well here; curiosity, learning and ownership do. We hire people who are already strong at their craft -the stretch at Convergence Group is navigating pace, complexity and constant evolution. This environment isn't for everyone, but for the right person it offers an exceptional opportunity for impact, growth and accelerated development. What you'll be doing as our Technical Data Analyst You'll be deep in the detail, translating complexity into clarity and insight, and yourresponsibilities will include: Mapping and documenting end-to-end data workflows, system logic, dependencies, and lineage. Collaborating with developers to uncover embedded business rules and technical logic. Identifying inefficiencies, risks, control gaps, and opportunities for optimisation. Streamlining and optimising systems by reducing manual effort, reprocessing, and operational friction. Documenting and clarifying complexity by turning technical knowledge into clear, structured outputs and mapping data flows. Analysing SQL databases, stored procedures, and operational datasets to understand how data flows and supports business processes. Improving visibility and resilience by creating shared understanding across teams and reducing reliance on undocumented knowledge. Driving continuous improvement through insight-led recommendations, supporting system integrations, and strengthening data governance and integrity. Identifying root causes of issues and driving continuous improvement. What we're looking for 5+ years of hands on experienceinstored procedures, operational data analysis and SQL Experience with data lineage, system workflows or process mapping Proven experience working on system or data transformation initiatives, collaborating closely with developers Excellent documentation skills, with the ability to translate complex code and systems logic into clear, structured outputs A track record of success in fast paced, evolving environments Confidence to ask questions, challenge assumptions, and drive meaningful improvements The ability to bridge technical and non-technical conversations effectively Eligibility to pass BPSS and other relevant clearance checks What you'll get 33 days holiday (including bank holidays) Private medical insurance, enhanced pension, income protection & life assurance Hybrid working - 3 days per week in the Solihull office & flexible core hours Dog-friendly office - yes, really! Who Are Convergence Group? At Convergence Group, we break free from corporate red tape as a privately owned company, driving bold innovation without the constraints of private equity or external bankers. Experts in Wan, Lan, WiFi and Security solutions we stand out by revolutionising infrastructure management -making it seamless so our customers can focus on what matters most. With rapid growth ahead, we need exceptional talent who bring the right skills, attitude, and drive to shape the future with us. Where A Players come to make a difference If you're looking for arole where you can improve systems, strengthen knowledge, and influence how data is used across a growing business, we'd love to hear from you.Apply now and shape the future of connectivity. Technical Data Analyst £70,000 to £85,000 per year plus additional benefits
17/06/2026
Full time
At Convergence, our success over the past 20 years hasn't happened by chance. It's been built on strong foundations, a resilient work ethic, and a constant drive to improve. At the heart of it all are our people - because we know we're only as good as the team we build. We're a customer-focused, product-led business, always striving to deliver industry leading connectivity backed by exceptional service. Now, we're looking for a Technical Data Analyst to help us better understand, optimise, and evolve the systems and data that power everything we do. What It's Really Like Here The pace and intensity are higher than most environments in our sector. The workload is typically around 30% greater than many people will have experienced elsewhere -not because we are chaotic, but because we are ambitious and constantly building. We grow organically and through acquisition, continuously integrating, improving and raising the bar. The landscape evolves, priorities shift, and expectations rise. If you prefer a predictable, static environment, this probably won't feel comfortable. If you are energised by growth, movement and high standards, it can be deeply rewarding. Your strengths will have a bigger platform here -and you will be stretched behaviourally more than in most environments. We value respectful honesty: anyone can challenge an idea; hierarchy doesn't protect thinking and getting it right matters more than being right. Ego doesn't perform well here; curiosity, learning and ownership do. We hire people who are already strong at their craft -the stretch at Convergence Group is navigating pace, complexity and constant evolution. This environment isn't for everyone, but for the right person it offers an exceptional opportunity for impact, growth and accelerated development. What you'll be doing as our Technical Data Analyst You'll be deep in the detail, translating complexity into clarity and insight, and yourresponsibilities will include: Mapping and documenting end-to-end data workflows, system logic, dependencies, and lineage. Collaborating with developers to uncover embedded business rules and technical logic. Identifying inefficiencies, risks, control gaps, and opportunities for optimisation. Streamlining and optimising systems by reducing manual effort, reprocessing, and operational friction. Documenting and clarifying complexity by turning technical knowledge into clear, structured outputs and mapping data flows. Analysing SQL databases, stored procedures, and operational datasets to understand how data flows and supports business processes. Improving visibility and resilience by creating shared understanding across teams and reducing reliance on undocumented knowledge. Driving continuous improvement through insight-led recommendations, supporting system integrations, and strengthening data governance and integrity. Identifying root causes of issues and driving continuous improvement. What we're looking for 5+ years of hands on experienceinstored procedures, operational data analysis and SQL Experience with data lineage, system workflows or process mapping Proven experience working on system or data transformation initiatives, collaborating closely with developers Excellent documentation skills, with the ability to translate complex code and systems logic into clear, structured outputs A track record of success in fast paced, evolving environments Confidence to ask questions, challenge assumptions, and drive meaningful improvements The ability to bridge technical and non-technical conversations effectively Eligibility to pass BPSS and other relevant clearance checks What you'll get 33 days holiday (including bank holidays) Private medical insurance, enhanced pension, income protection & life assurance Hybrid working - 3 days per week in the Solihull office & flexible core hours Dog-friendly office - yes, really! Who Are Convergence Group? At Convergence Group, we break free from corporate red tape as a privately owned company, driving bold innovation without the constraints of private equity or external bankers. Experts in Wan, Lan, WiFi and Security solutions we stand out by revolutionising infrastructure management -making it seamless so our customers can focus on what matters most. With rapid growth ahead, we need exceptional talent who bring the right skills, attitude, and drive to shape the future with us. Where A Players come to make a difference If you're looking for arole where you can improve systems, strengthen knowledge, and influence how data is used across a growing business, we'd love to hear from you.Apply now and shape the future of connectivity. Technical Data Analyst £70,000 to £85,000 per year plus additional benefits