Overview Job Description: Job Opportunity: Data Engineer (Snowflake) - Newcastle or Erskine Location: Newcastle, UK or Erskine, Scotland Type: Full-Time Salary: Competitive + Benefits Remote Work: Hybrid options available About the Role: DXC is a forward-thinking organisation at the forefront of data innovation. We harness the power of modern data platforms to deliver actionable insights and drive strategic decisions. We're looking for a Data Engineer with deep expertise in Snowflake to join our growing team. Due to security clearance requirements, applicants should be sole UK nationals who are willing to undergo DV clearance. Candidates should also be willing to travel within the UK when required depending on project requirements. Key Responsibilities Build and maintain robust data pipelines using Snowpipe and COPY INTO. Develop modular, testable data transformations with dbt. Orchestrate workflows and manage dependencies using Apache Airflow. Leverage Snowpark for advanced data applications and processing. Use Terraform to manage infrastructure as code. Implement CI/CD pipelines to streamline deployments. Interact with Snowflake using snowsql for scripting and automation. Write and optimize Advanced ANSI SQL queries, including window functions. Continuously improve performance through query and system optimization. Collaborate with cross-functional teams to deliver AI-driven solutions Ensure best practices in data engineering and contribute to architectural decisions Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience with: Build and maintain robust data pipelines using Snowpipe and COPY INTO. Develop modular, testable data transformations with dbt. Orchestrate workflows and manage dependencies using Apache Airflow. Leverage Snowpark for advanced data applications and processing. Use Terraform to manage infrastructure as code. Implement CI/CD pipelines to streamline deployments. Interact with Snowflake using snowsql for scripting and automation. Write and optimize Advanced ANSI SQL queries, including window functions. Continuously improve performance through query and system optimization. SnowPro Core Certification or willingness to achieve one. Excellent problem-solving skills and a passion for data and AI Bachelor's degree in a relevant field or equivalent combination of education and experience Typically, 4+ years of relevant work experience in industry, with a minimum of 1+ years in a similar role. Proficiencies in data cleansing, exploratory data analysis, and data visualization Continuous learner that stays abreast with industry knowledge and technology Why Join Us? Work with a forward-thinking team on impactful AI projects Access to continuous learning and development opportunities Flexible working arrangements Inclusive and supportive company culture At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available.
30/05/2026
Full time
Overview Job Description: Job Opportunity: Data Engineer (Snowflake) - Newcastle or Erskine Location: Newcastle, UK or Erskine, Scotland Type: Full-Time Salary: Competitive + Benefits Remote Work: Hybrid options available About the Role: DXC is a forward-thinking organisation at the forefront of data innovation. We harness the power of modern data platforms to deliver actionable insights and drive strategic decisions. We're looking for a Data Engineer with deep expertise in Snowflake to join our growing team. Due to security clearance requirements, applicants should be sole UK nationals who are willing to undergo DV clearance. Candidates should also be willing to travel within the UK when required depending on project requirements. Key Responsibilities Build and maintain robust data pipelines using Snowpipe and COPY INTO. Develop modular, testable data transformations with dbt. Orchestrate workflows and manage dependencies using Apache Airflow. Leverage Snowpark for advanced data applications and processing. Use Terraform to manage infrastructure as code. Implement CI/CD pipelines to streamline deployments. Interact with Snowflake using snowsql for scripting and automation. Write and optimize Advanced ANSI SQL queries, including window functions. Continuously improve performance through query and system optimization. Collaborate with cross-functional teams to deliver AI-driven solutions Ensure best practices in data engineering and contribute to architectural decisions Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience with: Build and maintain robust data pipelines using Snowpipe and COPY INTO. Develop modular, testable data transformations with dbt. Orchestrate workflows and manage dependencies using Apache Airflow. Leverage Snowpark for advanced data applications and processing. Use Terraform to manage infrastructure as code. Implement CI/CD pipelines to streamline deployments. Interact with Snowflake using snowsql for scripting and automation. Write and optimize Advanced ANSI SQL queries, including window functions. Continuously improve performance through query and system optimization. SnowPro Core Certification or willingness to achieve one. Excellent problem-solving skills and a passion for data and AI Bachelor's degree in a relevant field or equivalent combination of education and experience Typically, 4+ years of relevant work experience in industry, with a minimum of 1+ years in a similar role. Proficiencies in data cleansing, exploratory data analysis, and data visualization Continuous learner that stays abreast with industry knowledge and technology Why Join Us? Work with a forward-thinking team on impactful AI projects Access to continuous learning and development opportunities Flexible working arrangements Inclusive and supportive company culture At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available.
Your Mission As Senior Analytics Engineer, you'll own, uplift and maintain NALA's data transformation layer - the foundation that all reporting, governed metrics, self serve analytics and AI powered capabilities depend on. Your work will add semantic richness, structure and governance to NALA's data, ensuring every model is documented, tested and described in a way that both humans and AI agents can interpret and trust. Agentic analytics is arriving fast, and this role exists to help ensure NALA's data foundation is ready for it. Your Responsibilities in this Role Own the transformation layer (dbt + Snowflake) - refactoring, enforcing best practices, and evolving our data stack to a best in class standard Take ownership of streaming data pipelines alongside batch transformation - ensuring real time and near real time data flows are reliable, cost efficient and well integrated into the broader data architecture Establish and enforce coding & agentic coding standards, systematic testing and documentation as CI enforced defaults across all data models Optimise warehouse performance and cost efficiency, identifying and resolving the query patterns and materialisation choices driving unnecessary spend Build the foundation for AI powered self serve by ensuring models carry the semantic richness and documentation that agents need to return reliable answers Scope and resolve orchestration decisions (dbt Cloud vs Dagster) and own the infrastructure roadmap for the transformation layer Support and mentor analysts on analytics engineering best practices, raising the engineering standard across the team Must-have requirements 4+ years hands on experience with dbt (ideally fusion) - building, refactoring and maintaining production grade transformation layers Strong SQL, Python and data modelling skills with a clear understanding of warehousing and modern data architecture Snowflake or Databricks experience including query performance tuning and cost optimisation Deep proficiency with AI assisted development workflows (Cursor, Windsurf, Claude Code) to force multiply engineering output and accelerate delivery Track record of implementing testing, CI/CD, documentation standards and PR review workflows in dbt projects Comfortable owning an infrastructure roadmap - can assess the current state, propose a plan and execute without being directed step by step Nice to have requirements Semantic layer experience (Cube, dbt Semantic Layer) and understanding of how governed metric definitions sit on top of a transformation layer Familiarity with orchestration tools (Dagster, Airflow, dbt Cloud etc) Experience with Hex or similar modern BI/notebook platforms Experience in fintech, payments or regulated environments where data accuracy and governance carry real business consequences Familiarity with experimentation frameworks and product analytics Success in the role looks like 3-Month Metrics Full ownership of the transformation layer and warehouse, with a clear understanding of the current architecture, cost drivers and priorities 6-Month Metrics Full ownership of warehouse coding standards, data architecture and infrastructure Measurable improvement in the cost and efficiency of supplying data to the business A clear data infrastructure roadmap delivered for the following 6 months Benefits 27 Days Off Plus UK Bank Holidays: Take the time to decompress. Working at a startup is hard! Birthday Leave: Celebrate your special day with a bonus day off to take off in that month. Enhanced Parental Leave: We offer 16 weeks of full pay for the primary caregiver and 4 weeks of full pay for the secondary caregiver (After a 6-month probationary period) Enhanced Pension: Salary sacrifice pension scheme via Penfold giving you flexibility and control on how you save for your future! Global Workspace: Get access to WeWork locations worldwide. Learning Budget : Fuel your growth with $1000 annually for learning and development. Sarabi: Themed snacks and Friday lunch focused on building great working relationships with the team. Monthly Socials: Join fun social events every month for great times. Free Coffee: Enjoy barista style coffee at your fingertips.
30/05/2026
Full time
Your Mission As Senior Analytics Engineer, you'll own, uplift and maintain NALA's data transformation layer - the foundation that all reporting, governed metrics, self serve analytics and AI powered capabilities depend on. Your work will add semantic richness, structure and governance to NALA's data, ensuring every model is documented, tested and described in a way that both humans and AI agents can interpret and trust. Agentic analytics is arriving fast, and this role exists to help ensure NALA's data foundation is ready for it. Your Responsibilities in this Role Own the transformation layer (dbt + Snowflake) - refactoring, enforcing best practices, and evolving our data stack to a best in class standard Take ownership of streaming data pipelines alongside batch transformation - ensuring real time and near real time data flows are reliable, cost efficient and well integrated into the broader data architecture Establish and enforce coding & agentic coding standards, systematic testing and documentation as CI enforced defaults across all data models Optimise warehouse performance and cost efficiency, identifying and resolving the query patterns and materialisation choices driving unnecessary spend Build the foundation for AI powered self serve by ensuring models carry the semantic richness and documentation that agents need to return reliable answers Scope and resolve orchestration decisions (dbt Cloud vs Dagster) and own the infrastructure roadmap for the transformation layer Support and mentor analysts on analytics engineering best practices, raising the engineering standard across the team Must-have requirements 4+ years hands on experience with dbt (ideally fusion) - building, refactoring and maintaining production grade transformation layers Strong SQL, Python and data modelling skills with a clear understanding of warehousing and modern data architecture Snowflake or Databricks experience including query performance tuning and cost optimisation Deep proficiency with AI assisted development workflows (Cursor, Windsurf, Claude Code) to force multiply engineering output and accelerate delivery Track record of implementing testing, CI/CD, documentation standards and PR review workflows in dbt projects Comfortable owning an infrastructure roadmap - can assess the current state, propose a plan and execute without being directed step by step Nice to have requirements Semantic layer experience (Cube, dbt Semantic Layer) and understanding of how governed metric definitions sit on top of a transformation layer Familiarity with orchestration tools (Dagster, Airflow, dbt Cloud etc) Experience with Hex or similar modern BI/notebook platforms Experience in fintech, payments or regulated environments where data accuracy and governance carry real business consequences Familiarity with experimentation frameworks and product analytics Success in the role looks like 3-Month Metrics Full ownership of the transformation layer and warehouse, with a clear understanding of the current architecture, cost drivers and priorities 6-Month Metrics Full ownership of warehouse coding standards, data architecture and infrastructure Measurable improvement in the cost and efficiency of supplying data to the business A clear data infrastructure roadmap delivered for the following 6 months Benefits 27 Days Off Plus UK Bank Holidays: Take the time to decompress. Working at a startup is hard! Birthday Leave: Celebrate your special day with a bonus day off to take off in that month. Enhanced Parental Leave: We offer 16 weeks of full pay for the primary caregiver and 4 weeks of full pay for the secondary caregiver (After a 6-month probationary period) Enhanced Pension: Salary sacrifice pension scheme via Penfold giving you flexibility and control on how you save for your future! Global Workspace: Get access to WeWork locations worldwide. Learning Budget : Fuel your growth with $1000 annually for learning and development. Sarabi: Themed snacks and Friday lunch focused on building great working relationships with the team. Monthly Socials: Join fun social events every month for great times. Free Coffee: Enjoy barista style coffee at your fingertips.
Job Description Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. You'll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large-scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client-facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low-latency systems. Locations Newcastle Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
30/05/2026
Full time
Job Description Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. You'll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large-scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client-facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low-latency systems. Locations Newcastle Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Senior Data Architect - Azure / CPG Industry Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner. Please visit Fractal Intelligence for Imagination for more information about Fractal Location: London Core Technical Responsibilities Ideally with previous Consultancy and CPG industry experience Design and build end-to-end data pipelines (batch and near real-time) using PySpark, Databricks, and Azure Data Platform (ADF, ADLS, Synapse) Be hands-on in development, debugging, optimization, and production support of data pipelines Work with or extend existing/proprietary ETL frameworks (e.g., Mar's Simpel or similar) and improve performance and reliability Implement data modeling, transformation, and orchestration patterns aligned with best practices Apply data engineering fundamentals including partitioning, indexing, caching, cost optimization, and performance tuning Collaborate with upstream and downstream teams to ensure data quality, reliability, and SLAs Architecture & Design Contribute to the design of cloud-native data architectures covering ingestion, processing, storage, and consumption Translate business and analytical requirements into practical, scalable data solutions Support data governance practices including metadata, lineage, data quality checks, and access controls Work within hybrid environments (on-prem to cloud) and support modernization initiatives Understand and apply data mesh concepts where relevant (domain ownership, reusable data products, basic contracts) Evaluate tools and frameworks with a build vs. buy mindset, recommending pragmatic solutions Team & Delivery Responsibilities Act as a technical anchor for a data engineering team Provide technical guidance, code reviews, and mentoring to engineers Own delivery for assigned data products or pipelines - from design through deployment Collaborate with product owners, analysts, and architects to clarify requirements and priorities Stakeholder & Communication Engage with business and analytics stakeholders to understand data needs and translate them into technical solutions Clearly communicate technical designs and trade-offs to both technical and non-technical audiences Escalate risks and propose mitigation strategies proactively Support documentation of architecture, pipelines, and operational processes Good to Have Exposure to AI/ML data workflows (feature engineering, model inputs, MLOps basics) Awareness of LLMs / Agentic AI architectures from a data platform perspective Experience with other platforms such as AWS, GCP, Snowflake, BigQuery, Redshift Familiarity with data governance or catalog tools (DataHub, Collibra, dbt, etc.) Experience working in CPG, Retail, Supply Chain, or similar domains If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Hiring Related Queries India: Outside India: This inbox does not process resume submissions. All applications must be made through posted job openings Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
30/05/2026
Full time
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Senior Data Architect - Azure / CPG Industry Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner. Please visit Fractal Intelligence for Imagination for more information about Fractal Location: London Core Technical Responsibilities Ideally with previous Consultancy and CPG industry experience Design and build end-to-end data pipelines (batch and near real-time) using PySpark, Databricks, and Azure Data Platform (ADF, ADLS, Synapse) Be hands-on in development, debugging, optimization, and production support of data pipelines Work with or extend existing/proprietary ETL frameworks (e.g., Mar's Simpel or similar) and improve performance and reliability Implement data modeling, transformation, and orchestration patterns aligned with best practices Apply data engineering fundamentals including partitioning, indexing, caching, cost optimization, and performance tuning Collaborate with upstream and downstream teams to ensure data quality, reliability, and SLAs Architecture & Design Contribute to the design of cloud-native data architectures covering ingestion, processing, storage, and consumption Translate business and analytical requirements into practical, scalable data solutions Support data governance practices including metadata, lineage, data quality checks, and access controls Work within hybrid environments (on-prem to cloud) and support modernization initiatives Understand and apply data mesh concepts where relevant (domain ownership, reusable data products, basic contracts) Evaluate tools and frameworks with a build vs. buy mindset, recommending pragmatic solutions Team & Delivery Responsibilities Act as a technical anchor for a data engineering team Provide technical guidance, code reviews, and mentoring to engineers Own delivery for assigned data products or pipelines - from design through deployment Collaborate with product owners, analysts, and architects to clarify requirements and priorities Stakeholder & Communication Engage with business and analytics stakeholders to understand data needs and translate them into technical solutions Clearly communicate technical designs and trade-offs to both technical and non-technical audiences Escalate risks and propose mitigation strategies proactively Support documentation of architecture, pipelines, and operational processes Good to Have Exposure to AI/ML data workflows (feature engineering, model inputs, MLOps basics) Awareness of LLMs / Agentic AI architectures from a data platform perspective Experience with other platforms such as AWS, GCP, Snowflake, BigQuery, Redshift Familiarity with data governance or catalog tools (DataHub, Collibra, dbt, etc.) Experience working in CPG, Retail, Supply Chain, or similar domains If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Hiring Related Queries India: Outside India: This inbox does not process resume submissions. All applications must be made through posted job openings Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Description Role Description As an AI and Data Technical Architect, you will act as a senior, hands on technical leader and trusted advisor to our customers. You will be responsible for designing, validating, and operationalizing enterprise grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI, requiring you to guide customer Chief Data Officers and Enterprise Architects through emerging AI solutions. You will work side by side with Account Executives and Product teams to ensure customers realize the full value of the platform by designing scalable, secure solutions that integrate D360 into complex enterprise ecosystems-including hyperscalers, data lakes, and governance frameworks. You will: Lead pre sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks. Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross platform integrations. Collaborate with AEs and SEs to build hands on prototypes and demos using Agentforce and integrated external agents. Develop thought leadership content-demo templates, whitepapers, enablement sessions-focused on agent lifecycle, integration strategy, and technical effectiveness. Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization. If you are naturally curious about AI and Data, love diving into new technologies, and enjoy educating others while crafting solutions that deliver real business impact, we want to talk to you! Responsibilities Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs. Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement. Build Hands On Demos & Prototypes - Co create quick prototypes ( Lead Pre Sales Workshops - Facilitate whiteboarding, deep dive sessions, and quick enablement for customers and internal teams. Advise on Data & Integration - Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies. Support Early Adoption - Occasionally assist in proof of value engagements post sale by tuning agents and guiding customers toward self sufficient enablement. Own Technical Architecture Decisions - Oversee data modeling, identity resolution, real time vs. batch patterns, data graph design, and activation strategies within D360. Own Technical Enablement - Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently. Requirements Technical Pre Sales/Consulting - 7+ years of hands on experience designing and delivering data, analytics, and AI architectures in enterprise environments. Salesforce Expertise - Hands on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services. External Ecosystem Knowledge - Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting edge technologies. Preferred Requirements Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Governance & Observability - Familiarity with prompt governance, observability, and monitoring frameworks. Cross Platform Background - Background in cross platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education - BS in Computer Science, Engineering, Data Science, or equivalent technical field
30/05/2026
Full time
Description Role Description As an AI and Data Technical Architect, you will act as a senior, hands on technical leader and trusted advisor to our customers. You will be responsible for designing, validating, and operationalizing enterprise grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI, requiring you to guide customer Chief Data Officers and Enterprise Architects through emerging AI solutions. You will work side by side with Account Executives and Product teams to ensure customers realize the full value of the platform by designing scalable, secure solutions that integrate D360 into complex enterprise ecosystems-including hyperscalers, data lakes, and governance frameworks. You will: Lead pre sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks. Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross platform integrations. Collaborate with AEs and SEs to build hands on prototypes and demos using Agentforce and integrated external agents. Develop thought leadership content-demo templates, whitepapers, enablement sessions-focused on agent lifecycle, integration strategy, and technical effectiveness. Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization. If you are naturally curious about AI and Data, love diving into new technologies, and enjoy educating others while crafting solutions that deliver real business impact, we want to talk to you! Responsibilities Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs. Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement. Build Hands On Demos & Prototypes - Co create quick prototypes ( Lead Pre Sales Workshops - Facilitate whiteboarding, deep dive sessions, and quick enablement for customers and internal teams. Advise on Data & Integration - Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies. Support Early Adoption - Occasionally assist in proof of value engagements post sale by tuning agents and guiding customers toward self sufficient enablement. Own Technical Architecture Decisions - Oversee data modeling, identity resolution, real time vs. batch patterns, data graph design, and activation strategies within D360. Own Technical Enablement - Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently. Requirements Technical Pre Sales/Consulting - 7+ years of hands on experience designing and delivering data, analytics, and AI architectures in enterprise environments. Salesforce Expertise - Hands on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services. External Ecosystem Knowledge - Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting edge technologies. Preferred Requirements Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Governance & Observability - Familiarity with prompt governance, observability, and monitoring frameworks. Cross Platform Background - Background in cross platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education - BS in Computer Science, Engineering, Data Science, or equivalent technical field
Novatus is a Series B scale-up RegTech SaaS provider and boutique advisory practice, enabling financial services firms to solve complex challenges and redefine what's possible through expert-led technology and consulting. Across both our technology and consulting services, Novatus delivers practical solutions to some of the most complex regulatory, data and operational challenges in financial services. Our SaaS platform, En>ACT ( short for Ensuring Accurate, Complete and Timely reporting ), is a market-leading solution for regulatory transaction reporting and reconciliation, providing real-time, independent oversight of transaction reporting across all global regulatory regimes. En>ACT is the only real-time assurance solution that tests 100% of transactions and 100% of fields, replacing sample-based reviews and static PDF reports delivered months after the event with live, actionable insights. This helps firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 45 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services to solve complex challenges, combining deep expertise, ownership and delivery to create lasting change. Our expertise spans Strategy & Operations, Data & AI, Risk & Resilience, Compliance, Transaction Reporting, and ESG. We embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake's global data platform, we are shaping the future of financial services through innovation in both consulting and technology. Now a team of 120 globally, our growth plans do not stop here: we are looking for top-tier talent to join us on our journey and enable our next phase of success. Senior DevOps Engineer Novatus HQ - 2 London Wall Place, EC2Y 5AU Job Overview: As a Senior DevOps Engineer , you will scope and deliver complex infrastructure projects end-to-end, building and maintaining scalable, secure, and performant systems. You'll contribute to our technology direction and drive initiatives that align with our business objectives, with an emphasis on automation, delivery pace, reliability, and cost efficiency. This role requires a strong technical background and a proven track record of building and scaling systems in complex environments. You'll be joining as we have begun actively modernizing our infrastructure from traditional deployments to automation and cloud-native systems with AWS, Terraform, GitHub Actions, Databricks, Snowflake and Grafana. Key Responsibilities: Design and implement AWS cloud infrastructure, writing clean and maintainable Infrastructure as Code for repeatable, auditable deployments across environments. Drive reliability, scalability, security, observability and cost efficiency of AWS infrastructure. Provide mentorship to other DevOps engineers, sharing expertise and raising engineering quality across the team. Develop and maintain robust and effective CI/CD pipelines. Troubleshoot and resolve complex infrastructure issues, ensuring minimal impact on business operations. Explore and evaluate new technologies, tools, and patterns that improve platform reliability and delivery pace. Partner with Data Engineering to support platform infrastructure (AWS, Databricks, Snowflake). About You: Requirements: Strong hands-on AWS infrastructure experience, including IAM, VPCs, compute, containers, load balancing, storage, security, resilience, and cost optimization. Hands-on experience deploying and operating applications on Kubernetes in production, including Helm/manifests, ingress, configuration/secrets, observability, and troubleshooting live workloads. Proficient with Infrastructure as Code, especially Terraform, with experience building maintainable, reusable modules and environment patterns. Solid production networking knowledge: TCP/IP, DNS, TLS, BGP, routing, subnets, NAT, firewalls/security groups, VPN/private connectivity, load balancers, and practical troubleshooting. Experience operating cloud infrastructure in regulated environments (e.g. GDPR, ISO 27001, SOC 2). Experience designing observability, monitoring, logging, and alerting solutions for distributed systems. Strong software engineering ability beyond basic scripting. Ideally someone who has contributed to larger software projects or built maintainable platform/backend tooling in a language such as Python, Go, Java, TypeScript, or similar. Comfortable using modern AI-assisted engineering workflows, including agentic coding tools and LLM-based automation. Familiarity with concepts such as MCP servers, tool-calling, RAG/vector search, embeddings, and AI-assisted platform operations. Working knowledge of databases and data platforms, including SQL databases such as PostgreSQL/MySQL and exposure to NoSQL or distributed data stores. Track record of independently scoping and delivering complex infrastructure projects end-to-end. Experience mentoring engineers and sharing technical expertise across a team. Excellent communication and stakeholder management skills. Nice-to-haves: Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified Security, or AWS Certified DevOps Engineer). Databricks and/or Snowflake infrastructure experience. Kafka operations or other event streaming platforms. Experience on infrastructure modernization or migration programs. FinTech, RegTech, or financial services background. Why Join Us? Work Across Disciplines: You won't be confined to a single track- you will develop a broader skillset across our capabilities and offerings. Solve Problems that Matter: Work on complex challenges, where your thinking, analysis, and execution have real impact. Flat, Visible, Collaborative: We keep the structure flat, so you can collaborate directly with senior leaders and experienced specialists. Your work is visible, your perspectives are valued, and you will see the impact of your contributions every day. A Place for Builders: This is a great place for people who enjoy driving results and taking ownership. If you are driven to add value and help grow our business, you will enjoy a rewarding experience that recognises your contributions. Perks & Benefits: Private Medical Insurance (via AXA): includes mental health, dental, vision, and private GP access Life Insurance - 4 salary (via Unum) Unum's : includes GP access, medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, mental health support, bereavement counselling, and cancer support services for you, your partner, and your child(ren) Salary sacrifice childcare and nursery scheme (via YellowNest) Employee Assistance Programme Enhanced parental leave (maternity & paternity) Professional qualification sponsorship Accelerated career progression based on readiness and performance, not tenure or time spent in role Holiday entitlement increases with tenure Flexible hours with core collaboration time Paid volunteering leave Gym & fitness discounts Bi-annual socials Office snacks and drinks Interest-based working groups to collaborate and innovate Novatus' Equal Opportunities Statement: Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.
30/05/2026
Full time
Novatus is a Series B scale-up RegTech SaaS provider and boutique advisory practice, enabling financial services firms to solve complex challenges and redefine what's possible through expert-led technology and consulting. Across both our technology and consulting services, Novatus delivers practical solutions to some of the most complex regulatory, data and operational challenges in financial services. Our SaaS platform, En>ACT ( short for Ensuring Accurate, Complete and Timely reporting ), is a market-leading solution for regulatory transaction reporting and reconciliation, providing real-time, independent oversight of transaction reporting across all global regulatory regimes. En>ACT is the only real-time assurance solution that tests 100% of transactions and 100% of fields, replacing sample-based reviews and static PDF reports delivered months after the event with live, actionable insights. This helps firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 45 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services to solve complex challenges, combining deep expertise, ownership and delivery to create lasting change. Our expertise spans Strategy & Operations, Data & AI, Risk & Resilience, Compliance, Transaction Reporting, and ESG. We embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake's global data platform, we are shaping the future of financial services through innovation in both consulting and technology. Now a team of 120 globally, our growth plans do not stop here: we are looking for top-tier talent to join us on our journey and enable our next phase of success. Senior DevOps Engineer Novatus HQ - 2 London Wall Place, EC2Y 5AU Job Overview: As a Senior DevOps Engineer , you will scope and deliver complex infrastructure projects end-to-end, building and maintaining scalable, secure, and performant systems. You'll contribute to our technology direction and drive initiatives that align with our business objectives, with an emphasis on automation, delivery pace, reliability, and cost efficiency. This role requires a strong technical background and a proven track record of building and scaling systems in complex environments. You'll be joining as we have begun actively modernizing our infrastructure from traditional deployments to automation and cloud-native systems with AWS, Terraform, GitHub Actions, Databricks, Snowflake and Grafana. Key Responsibilities: Design and implement AWS cloud infrastructure, writing clean and maintainable Infrastructure as Code for repeatable, auditable deployments across environments. Drive reliability, scalability, security, observability and cost efficiency of AWS infrastructure. Provide mentorship to other DevOps engineers, sharing expertise and raising engineering quality across the team. Develop and maintain robust and effective CI/CD pipelines. Troubleshoot and resolve complex infrastructure issues, ensuring minimal impact on business operations. Explore and evaluate new technologies, tools, and patterns that improve platform reliability and delivery pace. Partner with Data Engineering to support platform infrastructure (AWS, Databricks, Snowflake). About You: Requirements: Strong hands-on AWS infrastructure experience, including IAM, VPCs, compute, containers, load balancing, storage, security, resilience, and cost optimization. Hands-on experience deploying and operating applications on Kubernetes in production, including Helm/manifests, ingress, configuration/secrets, observability, and troubleshooting live workloads. Proficient with Infrastructure as Code, especially Terraform, with experience building maintainable, reusable modules and environment patterns. Solid production networking knowledge: TCP/IP, DNS, TLS, BGP, routing, subnets, NAT, firewalls/security groups, VPN/private connectivity, load balancers, and practical troubleshooting. Experience operating cloud infrastructure in regulated environments (e.g. GDPR, ISO 27001, SOC 2). Experience designing observability, monitoring, logging, and alerting solutions for distributed systems. Strong software engineering ability beyond basic scripting. Ideally someone who has contributed to larger software projects or built maintainable platform/backend tooling in a language such as Python, Go, Java, TypeScript, or similar. Comfortable using modern AI-assisted engineering workflows, including agentic coding tools and LLM-based automation. Familiarity with concepts such as MCP servers, tool-calling, RAG/vector search, embeddings, and AI-assisted platform operations. Working knowledge of databases and data platforms, including SQL databases such as PostgreSQL/MySQL and exposure to NoSQL or distributed data stores. Track record of independently scoping and delivering complex infrastructure projects end-to-end. Experience mentoring engineers and sharing technical expertise across a team. Excellent communication and stakeholder management skills. Nice-to-haves: Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified Security, or AWS Certified DevOps Engineer). Databricks and/or Snowflake infrastructure experience. Kafka operations or other event streaming platforms. Experience on infrastructure modernization or migration programs. FinTech, RegTech, or financial services background. Why Join Us? Work Across Disciplines: You won't be confined to a single track- you will develop a broader skillset across our capabilities and offerings. Solve Problems that Matter: Work on complex challenges, where your thinking, analysis, and execution have real impact. Flat, Visible, Collaborative: We keep the structure flat, so you can collaborate directly with senior leaders and experienced specialists. Your work is visible, your perspectives are valued, and you will see the impact of your contributions every day. A Place for Builders: This is a great place for people who enjoy driving results and taking ownership. If you are driven to add value and help grow our business, you will enjoy a rewarding experience that recognises your contributions. Perks & Benefits: Private Medical Insurance (via AXA): includes mental health, dental, vision, and private GP access Life Insurance - 4 salary (via Unum) Unum's : includes GP access, medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, mental health support, bereavement counselling, and cancer support services for you, your partner, and your child(ren) Salary sacrifice childcare and nursery scheme (via YellowNest) Employee Assistance Programme Enhanced parental leave (maternity & paternity) Professional qualification sponsorship Accelerated career progression based on readiness and performance, not tenure or time spent in role Holiday entitlement increases with tenure Flexible hours with core collaboration time Paid volunteering leave Gym & fitness discounts Bi-annual socials Office snacks and drinks Interest-based working groups to collaborate and innovate Novatus' Equal Opportunities Statement: Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.
Reporting to the IT Director, you will lead Bestway's cybersecurity function through a modern, 3-Layer Operating Model. Your primary focus is to govern our outsourced Managed Detection & Response (MDR/SOC) partners, own the internal GRC (Governance, Risk, and Compliance) framework, and ensure data protection standards are met. You will act as the strategic link between external security experts and our internal Architecture and Platform Engineering teams to ensure Bestway remains secure, compliant, and AI-ready. Key Responsibilities Act as the primary owner for our outsourced 24/7 SOC/MDR partners. Monitor their performance against SLAs, manage incident escalations, and ensure they are proactively hunting threats across our Azure and Snowflake environments. Own the implementation and operation of data security to discover, classify, and protect sensitive data across the group, supporting our broader AI roadmap. Maintain the Group Information Security Policy, Cyber Risk Register, and Risk Appetite statements. Lead internal and external security audits, ensuring UK GDPR compliance and managing regulatory reporting. Partner with the technology team to ensure that cybersecurity policies are translated into automated "Golden Path" guardrails. Translate complex security alerts into business-relevant risk stories for the IT Director and the Board. Required Skills and Experience (Must-have) Proven experience managing high-performance external Managed Security Service Providers (MSSP) or MDR vendors Deep knowledge of ISO 27001, NIST, and UK GDPR. Experience maintaining a formal Enterprise Risk Register. Familiarity with DSPM (Data Security Posture Management) tools like Cyera or similar data discovery platforms. High-level understanding of Azure/AWS security controls, Identity protocols (OIDC/SAML), and MFA strategies (Entra ID). Experience coordinating response and recovery efforts between external forensic teams and internal IT functions. Ability to tell "risk stories" that align security investment to margin preservation and business continuity. Skilled at holding external partners accountable and driving value from service contracts. Focuses on material risk reduction rather than theoretical compliance. Pension 22 days annual leave plus the option to buy additional days Life Assurance Private Medical Onsite parking Bestway Group is an equal opportunity employer. Senior Cybersecurity Manager Park Royal, Brent, Greater London, United Kingdom
30/05/2026
Full time
Reporting to the IT Director, you will lead Bestway's cybersecurity function through a modern, 3-Layer Operating Model. Your primary focus is to govern our outsourced Managed Detection & Response (MDR/SOC) partners, own the internal GRC (Governance, Risk, and Compliance) framework, and ensure data protection standards are met. You will act as the strategic link between external security experts and our internal Architecture and Platform Engineering teams to ensure Bestway remains secure, compliant, and AI-ready. Key Responsibilities Act as the primary owner for our outsourced 24/7 SOC/MDR partners. Monitor their performance against SLAs, manage incident escalations, and ensure they are proactively hunting threats across our Azure and Snowflake environments. Own the implementation and operation of data security to discover, classify, and protect sensitive data across the group, supporting our broader AI roadmap. Maintain the Group Information Security Policy, Cyber Risk Register, and Risk Appetite statements. Lead internal and external security audits, ensuring UK GDPR compliance and managing regulatory reporting. Partner with the technology team to ensure that cybersecurity policies are translated into automated "Golden Path" guardrails. Translate complex security alerts into business-relevant risk stories for the IT Director and the Board. Required Skills and Experience (Must-have) Proven experience managing high-performance external Managed Security Service Providers (MSSP) or MDR vendors Deep knowledge of ISO 27001, NIST, and UK GDPR. Experience maintaining a formal Enterprise Risk Register. Familiarity with DSPM (Data Security Posture Management) tools like Cyera or similar data discovery platforms. High-level understanding of Azure/AWS security controls, Identity protocols (OIDC/SAML), and MFA strategies (Entra ID). Experience coordinating response and recovery efforts between external forensic teams and internal IT functions. Ability to tell "risk stories" that align security investment to margin preservation and business continuity. Skilled at holding external partners accountable and driving value from service contracts. Focuses on material risk reduction rather than theoretical compliance. Pension 22 days annual leave plus the option to buy additional days Life Assurance Private Medical Onsite parking Bestway Group is an equal opportunity employer. Senior Cybersecurity Manager Park Royal, Brent, Greater London, United Kingdom
Would you enjoy working on our cutting-edge products? Are you ready for a lead Engineer role? About the Business LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk solutions at About the role: You will lead a multidisciplinary engineering team delivering AI-powered services and tools for digital identity, fraud detection, and behavioural intelligence. The role spans technical leadership, delivery management, hands on architecture, and coaching of engineers in a rapidly evolving AI platform environment. Responsibilities Lead and grow a team of full stack ML engineers, QA engineers, and a UI developer. Define technical direction for AI enhanced services, internal tools, and platform components. Drive architecture for model deployment pipelines, inference APIs, and data and feature systems. Ensure high quality delivery across code quality, testing, documentation, and observability. Partner with Product, Architecture, and ML Research teams to prioritise and scope work. Foster a culture of modern AI development practices - LLM tooling, MLOps, automation. Set and enforce DevOps and SecOps standards across the team's services and pipelines. Coordinate cross team dependencies and contribute to roadmap planning. Support hiring, onboarding, and performance development within the team. Requirements 7+ years in backend, full stack, ML engineering, or distributed systems. 2+ years in technical leadership, team leadership, or senior mentoring roles. Hands on experience deploying ML powered services into production. Strong Python and Java - both are in active use across the team's production services. Experience with Snowflake/Spark/Databricks or others, CI/CD pipelines, and modern DevOps tooling. Solid understanding of SecOps practices and security conscious system design. Demonstrable track record of taking initiative and driving work independently. Working knowledge of DevOps and SecOps practices, deployment patterns, and security aware engineering. Broad full stack curiosity: comfortable picking up work outside your primary discipline when the problem demands it. Preferred Experience building fraud, identity, risk, or security systems. Experience running teams using AI and LLM development tooling and automation. Knowledge of feature stores, model monitoring, or real time scoring systems. Benefits Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers and private medical benefits. Wellbeing programs. Life assurance. Access to a competitive contributory pension scheme. Save As You Earn share option scheme. Travel season ticket loan. Electric Vehicle Scheme. Optional Dental Insurance. Maternity, paternity and shared parental leave. Employee Assistance Programme. Access to emergency care for the elderly and children. RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources. Employee discounts scheme via Perks at Work. Learn more about the LexisNexis Risk team and how we work here. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
30/05/2026
Full time
Would you enjoy working on our cutting-edge products? Are you ready for a lead Engineer role? About the Business LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk solutions at About the role: You will lead a multidisciplinary engineering team delivering AI-powered services and tools for digital identity, fraud detection, and behavioural intelligence. The role spans technical leadership, delivery management, hands on architecture, and coaching of engineers in a rapidly evolving AI platform environment. Responsibilities Lead and grow a team of full stack ML engineers, QA engineers, and a UI developer. Define technical direction for AI enhanced services, internal tools, and platform components. Drive architecture for model deployment pipelines, inference APIs, and data and feature systems. Ensure high quality delivery across code quality, testing, documentation, and observability. Partner with Product, Architecture, and ML Research teams to prioritise and scope work. Foster a culture of modern AI development practices - LLM tooling, MLOps, automation. Set and enforce DevOps and SecOps standards across the team's services and pipelines. Coordinate cross team dependencies and contribute to roadmap planning. Support hiring, onboarding, and performance development within the team. Requirements 7+ years in backend, full stack, ML engineering, or distributed systems. 2+ years in technical leadership, team leadership, or senior mentoring roles. Hands on experience deploying ML powered services into production. Strong Python and Java - both are in active use across the team's production services. Experience with Snowflake/Spark/Databricks or others, CI/CD pipelines, and modern DevOps tooling. Solid understanding of SecOps practices and security conscious system design. Demonstrable track record of taking initiative and driving work independently. Working knowledge of DevOps and SecOps practices, deployment patterns, and security aware engineering. Broad full stack curiosity: comfortable picking up work outside your primary discipline when the problem demands it. Preferred Experience building fraud, identity, risk, or security systems. Experience running teams using AI and LLM development tooling and automation. Knowledge of feature stores, model monitoring, or real time scoring systems. Benefits Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers and private medical benefits. Wellbeing programs. Life assurance. Access to a competitive contributory pension scheme. Save As You Earn share option scheme. Travel season ticket loan. Electric Vehicle Scheme. Optional Dental Insurance. Maternity, paternity and shared parental leave. Employee Assistance Programme. Access to emergency care for the elderly and children. RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources. Employee discounts scheme via Perks at Work. Learn more about the LexisNexis Risk team and how we work here. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Posted on: 01/05/2026 - Application Deadline: 10/06/2026 Are you ready tochart your own career path? With our refreshed strategy, we're building on our rich heritage and transforming our business to be more scalable and efficient, unlocking the capabilities needed for future success.This includes significantly investing in technology, streamlining the way we work and creating an environment where colleagues feel engaged, empowered and accountable; where they can show up, speak up and perform - because we believe in the difference our work makes. At a glance: Location: Cirencester Office Workplace Type: Hybrid Employment Type: 9 month Fixed-Term Contract Seniority: Mid-Senior Level Data Architect The Data and Insights Division The Data and Insights Division is comprised of four keyareas: DataGovernance and Intelligence. DataAcquisition, Quality, Strategy and Literacy. DataInsights. DataArchitecture, Platform and Engineering. This presents an opportunity to design a data strategy aligned with the organization's goals and implement the delivery of data effectively. D&I enables SJP to leverage value from its data through actionable insights and data led decision making. The Data Architecture, Platform and Engineering (DAPE) Division integrates architecture, platform and engineering to establish guidelines, principles and development standards for building a secure, resilient data platform for the future. It plays a key role in supporting the SJP data ecosystem, driving towards the SJP data strategy and advancing the decommissioning roadmap. The Role You will be responsible for the delivery and recommendations of design options, and architectural blueprints/artefacts that enable the architecture to be pragmatically developed and operated. Working across value streams, platforms and projects you will integral to the delivery of our data strategy ensuring the data is fit for purpose. What you'll be doing Develop and maintain the overall data architecture, ensuring alignment with business goals. Design conceptual, logical and physical data models for scalable and efficient databases. Assisting with the Data Platform standards ensuring best practice. Delivering and recommending design options, and architectural blueprints/artefacts (including guiderails), that enable the architecture to be pragmatically developed and operated. Define standards, policies and guidelines to ensure consistency and compliance across systems. Develop and be responsible for data Integration strategies to connect multiple systems and ensure seamless data flow. Who were looking for We are looking for a data enthusiast, passionate about data accuracy, consistency, validity, integrity, and the value that excellent data delivers! You will be an experienced Data Architect who is at ease in a high-speed setting! You will contribute significantly to ensuring decisions are guided by data to advance our strategic goals. You work cross-functionally, communicate clearly, and balance technical detail with business needs. You're comfortable crafting data solutions and supporting teams through delivery. Essential skills and experience Snowflake, Data modelling experience Experience in a data development environment - with some gained in Financial Services or regulated and/or Cloud Environments. Focus on data, agile practices, transformation programs, product ownership and business engagement Significant experience in data modelling - conceptual, logical, and physical. Ability to devise a conceptual business Information model that engages with the target audience in a clear and succinct manner Desirable Experience Wealth management or regulated financial services, preferably with a FTSE 100 UK Retail Bank, Wealth Manager or Fintech. Experience of Kimble What's in it for you? We reward you for the work you do, whether that's through our discretionary annual bonus scheme that reflects both personal and company performance, competitive annual leave allowance (28 days plus bank holidays, with the option to purchase an additional 5 days), or online rewards platform with a variety of discounts. We also have benefits to support whatever stage of life you are in, including: Competitive parental leave (26 weeks full pay) Private medical insurance (optional taxable benefit) 10% non-contributory pension (increasing with length of service) Reasonable Adjustments We're an equal-opportunity employer and want to ensure our recruitment process is accessible and inclusive for all, if you require reasonable adjustment(s) at any stage please let us know by emailing us at Research tells us that applicants (especially those from underrepresented groups) can be put off from applying for a role if they do not meet all the criteria or have been on an extended career-break. If you think you would be a good match for this role and can demonstrate some transferable experience please apply, regardless of whether you tick every box.
30/05/2026
Full time
Posted on: 01/05/2026 - Application Deadline: 10/06/2026 Are you ready tochart your own career path? With our refreshed strategy, we're building on our rich heritage and transforming our business to be more scalable and efficient, unlocking the capabilities needed for future success.This includes significantly investing in technology, streamlining the way we work and creating an environment where colleagues feel engaged, empowered and accountable; where they can show up, speak up and perform - because we believe in the difference our work makes. At a glance: Location: Cirencester Office Workplace Type: Hybrid Employment Type: 9 month Fixed-Term Contract Seniority: Mid-Senior Level Data Architect The Data and Insights Division The Data and Insights Division is comprised of four keyareas: DataGovernance and Intelligence. DataAcquisition, Quality, Strategy and Literacy. DataInsights. DataArchitecture, Platform and Engineering. This presents an opportunity to design a data strategy aligned with the organization's goals and implement the delivery of data effectively. D&I enables SJP to leverage value from its data through actionable insights and data led decision making. The Data Architecture, Platform and Engineering (DAPE) Division integrates architecture, platform and engineering to establish guidelines, principles and development standards for building a secure, resilient data platform for the future. It plays a key role in supporting the SJP data ecosystem, driving towards the SJP data strategy and advancing the decommissioning roadmap. The Role You will be responsible for the delivery and recommendations of design options, and architectural blueprints/artefacts that enable the architecture to be pragmatically developed and operated. Working across value streams, platforms and projects you will integral to the delivery of our data strategy ensuring the data is fit for purpose. What you'll be doing Develop and maintain the overall data architecture, ensuring alignment with business goals. Design conceptual, logical and physical data models for scalable and efficient databases. Assisting with the Data Platform standards ensuring best practice. Delivering and recommending design options, and architectural blueprints/artefacts (including guiderails), that enable the architecture to be pragmatically developed and operated. Define standards, policies and guidelines to ensure consistency and compliance across systems. Develop and be responsible for data Integration strategies to connect multiple systems and ensure seamless data flow. Who were looking for We are looking for a data enthusiast, passionate about data accuracy, consistency, validity, integrity, and the value that excellent data delivers! You will be an experienced Data Architect who is at ease in a high-speed setting! You will contribute significantly to ensuring decisions are guided by data to advance our strategic goals. You work cross-functionally, communicate clearly, and balance technical detail with business needs. You're comfortable crafting data solutions and supporting teams through delivery. Essential skills and experience Snowflake, Data modelling experience Experience in a data development environment - with some gained in Financial Services or regulated and/or Cloud Environments. Focus on data, agile practices, transformation programs, product ownership and business engagement Significant experience in data modelling - conceptual, logical, and physical. Ability to devise a conceptual business Information model that engages with the target audience in a clear and succinct manner Desirable Experience Wealth management or regulated financial services, preferably with a FTSE 100 UK Retail Bank, Wealth Manager or Fintech. Experience of Kimble What's in it for you? We reward you for the work you do, whether that's through our discretionary annual bonus scheme that reflects both personal and company performance, competitive annual leave allowance (28 days plus bank holidays, with the option to purchase an additional 5 days), or online rewards platform with a variety of discounts. We also have benefits to support whatever stage of life you are in, including: Competitive parental leave (26 weeks full pay) Private medical insurance (optional taxable benefit) 10% non-contributory pension (increasing with length of service) Reasonable Adjustments We're an equal-opportunity employer and want to ensure our recruitment process is accessible and inclusive for all, if you require reasonable adjustment(s) at any stage please let us know by emailing us at Research tells us that applicants (especially those from underrepresented groups) can be put off from applying for a role if they do not meet all the criteria or have been on an extended career-break. If you think you would be a good match for this role and can demonstrate some transferable experience please apply, regardless of whether you tick every box.
About the Business LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk solutions at About the role Build and deploy ML powered services, tools, and full stack applications supporting fraud and identity analytics. Work across backend services, model serving pipelines, and user interfaces. Key Responsibilities Develop ML inference APIs, microservices, and data/feature pipelines. Build full stack tools to support model evaluation and transparency. Integrate ML models into real time production systems. Implement automated training, monitoring, and evaluation workflows. Use and contribute to AI assisted development tools. Own DevOps and security standards for assigned services. Collaborate with data scientists, architects, and QA. Required Experience 4+ years software engineering (backend, full stack, or ML). Strong Python and Java. Snowflake or similar data platform experience. Familiarity with ML model serving and feature engineering. Strong ownership and independent execution. Working knowledge of DevOps and secure engineering. Preferred Experience LLMs, embeddings, or vector databases. Behavioural, graph, or anomaly detection models. dbt, Snowpark, or Snowflake ML. Benefits Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers and private medical benefits. Wellbeing programs. Life assurance. Access to a competitive contributory pension scheme. Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme. Optional Dental Insurance. Maternity, paternity and shared parental leave. Employee Assistance Programme. Access to emergency care for both the elderly and children. RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources. Employee discounts scheme via Perks at Work. Legal and EEO Statements We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. At LexisNexis Risk Solutions, our businesses span multiple industries providing customers with innovative technologies, information based analytics, decisioning tools and data management services that provide market specific solutions. Approximately 11,100 employees in offices throughout the world support our brands by serving customers in more than 180 countries. LexisNexis Risk Solutions is part of RELX, a global provider of information and analytics for professional and business customers across industries. For more information, please visit and .
30/05/2026
Full time
About the Business LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk solutions at About the role Build and deploy ML powered services, tools, and full stack applications supporting fraud and identity analytics. Work across backend services, model serving pipelines, and user interfaces. Key Responsibilities Develop ML inference APIs, microservices, and data/feature pipelines. Build full stack tools to support model evaluation and transparency. Integrate ML models into real time production systems. Implement automated training, monitoring, and evaluation workflows. Use and contribute to AI assisted development tools. Own DevOps and security standards for assigned services. Collaborate with data scientists, architects, and QA. Required Experience 4+ years software engineering (backend, full stack, or ML). Strong Python and Java. Snowflake or similar data platform experience. Familiarity with ML model serving and feature engineering. Strong ownership and independent execution. Working knowledge of DevOps and secure engineering. Preferred Experience LLMs, embeddings, or vector databases. Behavioural, graph, or anomaly detection models. dbt, Snowpark, or Snowflake ML. Benefits Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers and private medical benefits. Wellbeing programs. Life assurance. Access to a competitive contributory pension scheme. Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme. Optional Dental Insurance. Maternity, paternity and shared parental leave. Employee Assistance Programme. Access to emergency care for both the elderly and children. RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources. Employee discounts scheme via Perks at Work. Legal and EEO Statements We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. At LexisNexis Risk Solutions, our businesses span multiple industries providing customers with innovative technologies, information based analytics, decisioning tools and data management services that provide market specific solutions. Approximately 11,100 employees in offices throughout the world support our brands by serving customers in more than 180 countries. LexisNexis Risk Solutions is part of RELX, a global provider of information and analytics for professional and business customers across industries. For more information, please visit and .
We're building the next generation of capital markets technology. Global capital markets generate an ocean of fastmoving, interconnected, and highly complex data-and we're on a mission to make sense of it. Our teams are passionate problem solvers dedicated to capturing, storing, and transforming the world's market data. If you thrive in data-driven environments and want to help power the technology behind the world's leading financial institutions, we'd love to meet you. Role Overview As a Data Engineer - Customer Success , you will support global financial firms by diagnosing, resolving, and escalating technical issues across our data pipelines. You will work closely with clients and cross-functional engineering teams to ensure the reliability and performance of large scale, automated data flows.This role sits at the intersection of data engineering, operations, and client support-ideal for someone who enjoys solving complex data challenges in a high-impact environment What You'll Do Provide technical support for data ingestion, transformation, and delivery pipelines. Troubleshoot and resolve issues related to batch processing, automation, and data job failures. Collaborate with other engineering teams to improve pipeline stability and performance. Manage and monitor processing workflows and job schedules. Support clients by analyzing incidents, identifying root causes, and driving resolutions or escalations. Required Qualifications Strong experience with Python , including writing and maintaining object-oriented applications. Hands- on experience with job scheduling and workflow tools such as Jenkins, Rundeck, Apache Airflow , or similar. Background working in batch data processing or large scale automated data environments. Experience with ETL pipelines and Data Lake architectures. Proficiency with Git version control (GitLab or GitHub). Strong command of Linux , including server operations, system processes, daemons, and task scheduling. Comfortable with data movement operations and large scale automation. Ability to work US shift: 6:30 PM - 3:30 AM IST . Nice to Have Experience with cloud data platforms such as AWS Redshift, Athena, Dremio, or Snowflake. Experience with execution platforms like Kubernetes and virtual hardware like AWS EC2, ECS, and EKS. Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, .If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.LSEG (London Stock Exchange Group) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential.
29/05/2026
Full time
We're building the next generation of capital markets technology. Global capital markets generate an ocean of fastmoving, interconnected, and highly complex data-and we're on a mission to make sense of it. Our teams are passionate problem solvers dedicated to capturing, storing, and transforming the world's market data. If you thrive in data-driven environments and want to help power the technology behind the world's leading financial institutions, we'd love to meet you. Role Overview As a Data Engineer - Customer Success , you will support global financial firms by diagnosing, resolving, and escalating technical issues across our data pipelines. You will work closely with clients and cross-functional engineering teams to ensure the reliability and performance of large scale, automated data flows.This role sits at the intersection of data engineering, operations, and client support-ideal for someone who enjoys solving complex data challenges in a high-impact environment What You'll Do Provide technical support for data ingestion, transformation, and delivery pipelines. Troubleshoot and resolve issues related to batch processing, automation, and data job failures. Collaborate with other engineering teams to improve pipeline stability and performance. Manage and monitor processing workflows and job schedules. Support clients by analyzing incidents, identifying root causes, and driving resolutions or escalations. Required Qualifications Strong experience with Python , including writing and maintaining object-oriented applications. Hands- on experience with job scheduling and workflow tools such as Jenkins, Rundeck, Apache Airflow , or similar. Background working in batch data processing or large scale automated data environments. Experience with ETL pipelines and Data Lake architectures. Proficiency with Git version control (GitLab or GitHub). Strong command of Linux , including server operations, system processes, daemons, and task scheduling. Comfortable with data movement operations and large scale automation. Ability to work US shift: 6:30 PM - 3:30 AM IST . Nice to Have Experience with cloud data platforms such as AWS Redshift, Athena, Dremio, or Snowflake. Experience with execution platforms like Kubernetes and virtual hardware like AWS EC2, ECS, and EKS. Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, .If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.LSEG (London Stock Exchange Group) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential.
Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that's long favoured legacy operators, intermediaries, and opaque pricing. Today's electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We've built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We're scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we're not just building another energy company, we're rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. The Role: We're looking for a Staff Data Engineer to lead the design and evolution of our data platform. This is a high-impact, hands on role combining technical leadership, system architecture, and product thinking. You'll work closely with engineering, data science, and energy domain experts to ensure that data is reliable, scalable, and directly drives business value. You'll work across the data management service team alongside data and analytics engineers, and in close partnership with energy domain experts, data scientists, and the broader engineering organisation. This is a hands on senior technical leadership role - you'll be reviewing pull requests and setting architectural direction in the same week. What makes this genuinely different: you're not inheriting someone else's vision of what a data platform should be. The cultural norms, the standards, the practices - these are yours to define. If you've wanted to build the right thing from the ground up, this is that opportunity. What You'll Do: Technical Leadership Shape the technical direction across batch and streaming pipelines, setting the architecture others build to Set standards for pipeline design and data quality Lead design reviews and mentor other data engineers Evaluate and introduce tooling where it raises the bar - and make the case for when it doesn't Data Platform & Pipelines Build and maintain robust ETL/ELT pipelines Build systems optimised for high ingestion, low latency querying of time series data (TSDS) Optimise pipelines for performance, cost, and reliability Enable self serve analytics and decision making across the company Reliability and observability Implement data quality frameworks with real teeth: SLAs, automated testing, lineage, and monitoring Establish practices specific to energy data: late arrivals, reprocessing, backfills, and the failure modes that matter in this domain Build the observability layer that makes the platform trustworthy without constant human oversight Scale and performance Identify and fix the bottlenecks that constrain us today Optimise pipelines for performance, cost, and reliability as data volumes grow Architect for the next order of magnitude, not just the next quarter Technical leadership and culture Set engineering standards for pipeline design, data quality, and system observability Lead design reviews and mentor data engineers, raising the bar for how the team works Act as a multiplier: the people around you should get better because of how you approach problems What We're Looking For: Experience Proven experience operating at staff level (ownership of systems, not just pipelines) Experience building and scaling modern data platforms A track record of operating at staff or principal level: you've owned systems, shaped technical direction across teams, and influenced how engineering gets done - not just delivered pipelines. Deep experience building and scaling production data platforms, including high ingestion time series workloads, and strong hands on ability in Python and modern data stack components (orchestration, warehousing, observability). The ability to design for reliability and scale - you understand the tradeoffs in data system design and have made consequential architecture decisions you can speak to clearly. A product mindset: you care about whether the data is actually useful and used, not just whether the pipeline ran green. Experience with cloud data infrastructure (AWS or GCP) and a point of view on what good looks like. The communication skills to lead without authority - influencing technical direction across teams and making the case for the right thing even when it's harder. Technical Skills Strong programming skills in Python, with experience building production grade data systems Experience with modern data stack components (e.g.): Orchestration: Airflow / Dagster Warehousing: Snowflake / BigQuery / Redshift / ClickHouse Streaming (nice to have): Kafka / Flink Experience with cloud platforms (AWS / GCP) Experience with data observability and testing practices Nice to Have Experience in energy or climate tech Familiarity with time series data at scale Experience supporting ML pipelines in production Background in high growth startups or scale ups What Success Looks Like The data platform handles tem's current scale without firefighting, and is architected for the next phase of growth Other teams can access, trust, and use data without routing requests through the data engineering team There is a tight, reliable feedback loop between data ingestion and consumption: trading, forecasting, and analytics teams make faster decisions because the data is there when they need it The data engineering team has clearer standards, better practices, and higher output than when you arrived Benefits & Perks: Competitive salary - our current band for this role is £105,000 or equivalent in local currency. We review salaries twice a year using real time market data, with transparent, consistent pay for the same role and level. Stock Options - everyone on the team has ownership in our mission. 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday. Remote & flexible working - We're fully remote, distributed across Europe with clear core hours, and no internal meetings on Friday afternoons. Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup (co working passes, equipment, etc.). Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.
29/05/2026
Full time
Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that's long favoured legacy operators, intermediaries, and opaque pricing. Today's electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We've built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We're scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we're not just building another energy company, we're rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. The Role: We're looking for a Staff Data Engineer to lead the design and evolution of our data platform. This is a high-impact, hands on role combining technical leadership, system architecture, and product thinking. You'll work closely with engineering, data science, and energy domain experts to ensure that data is reliable, scalable, and directly drives business value. You'll work across the data management service team alongside data and analytics engineers, and in close partnership with energy domain experts, data scientists, and the broader engineering organisation. This is a hands on senior technical leadership role - you'll be reviewing pull requests and setting architectural direction in the same week. What makes this genuinely different: you're not inheriting someone else's vision of what a data platform should be. The cultural norms, the standards, the practices - these are yours to define. If you've wanted to build the right thing from the ground up, this is that opportunity. What You'll Do: Technical Leadership Shape the technical direction across batch and streaming pipelines, setting the architecture others build to Set standards for pipeline design and data quality Lead design reviews and mentor other data engineers Evaluate and introduce tooling where it raises the bar - and make the case for when it doesn't Data Platform & Pipelines Build and maintain robust ETL/ELT pipelines Build systems optimised for high ingestion, low latency querying of time series data (TSDS) Optimise pipelines for performance, cost, and reliability Enable self serve analytics and decision making across the company Reliability and observability Implement data quality frameworks with real teeth: SLAs, automated testing, lineage, and monitoring Establish practices specific to energy data: late arrivals, reprocessing, backfills, and the failure modes that matter in this domain Build the observability layer that makes the platform trustworthy without constant human oversight Scale and performance Identify and fix the bottlenecks that constrain us today Optimise pipelines for performance, cost, and reliability as data volumes grow Architect for the next order of magnitude, not just the next quarter Technical leadership and culture Set engineering standards for pipeline design, data quality, and system observability Lead design reviews and mentor data engineers, raising the bar for how the team works Act as a multiplier: the people around you should get better because of how you approach problems What We're Looking For: Experience Proven experience operating at staff level (ownership of systems, not just pipelines) Experience building and scaling modern data platforms A track record of operating at staff or principal level: you've owned systems, shaped technical direction across teams, and influenced how engineering gets done - not just delivered pipelines. Deep experience building and scaling production data platforms, including high ingestion time series workloads, and strong hands on ability in Python and modern data stack components (orchestration, warehousing, observability). The ability to design for reliability and scale - you understand the tradeoffs in data system design and have made consequential architecture decisions you can speak to clearly. A product mindset: you care about whether the data is actually useful and used, not just whether the pipeline ran green. Experience with cloud data infrastructure (AWS or GCP) and a point of view on what good looks like. The communication skills to lead without authority - influencing technical direction across teams and making the case for the right thing even when it's harder. Technical Skills Strong programming skills in Python, with experience building production grade data systems Experience with modern data stack components (e.g.): Orchestration: Airflow / Dagster Warehousing: Snowflake / BigQuery / Redshift / ClickHouse Streaming (nice to have): Kafka / Flink Experience with cloud platforms (AWS / GCP) Experience with data observability and testing practices Nice to Have Experience in energy or climate tech Familiarity with time series data at scale Experience supporting ML pipelines in production Background in high growth startups or scale ups What Success Looks Like The data platform handles tem's current scale without firefighting, and is architected for the next phase of growth Other teams can access, trust, and use data without routing requests through the data engineering team There is a tight, reliable feedback loop between data ingestion and consumption: trading, forecasting, and analytics teams make faster decisions because the data is there when they need it The data engineering team has clearer standards, better practices, and higher output than when you arrived Benefits & Perks: Competitive salary - our current band for this role is £105,000 or equivalent in local currency. We review salaries twice a year using real time market data, with transparent, consistent pay for the same role and level. Stock Options - everyone on the team has ownership in our mission. 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday. Remote & flexible working - We're fully remote, distributed across Europe with clear core hours, and no internal meetings on Friday afternoons. Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup (co working passes, equipment, etc.). Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.
Senior Data Platform Engineer 28 April 2026 London, UK An exciting opportunity has become available to be part of our fast growing team and to be a key part of the Technology & Innovation function. This role provides an outstanding opportunity to join a growing global integrated marketing advisory and will provide an ambitious individual with valuable experience for progression and development. The Company mediasense is a global, independent advisor that brings the clarity, connection and confidence modern marketers need to fuel growth. We help marketers eliminate waste and maximize the impact of their most significant investments at scale. Our ambition is to define and own an entirely new category - recognized as the world's most trusted, independent and impactful marketing advisor. We do this by elevating how clients operate, how agencies deliver, how platforms perform and how all parts of the ecosystem connect. Because progress doesn't happen in isolation, it takes alignment, intelligence and trust. That's what we enable. That's what we stand for. That's Unified Marketing Intelligence. mediasense is designed around how we help marketers optimize and transform through best in class structure and governance (Organization), partners and platforms (Ecosystem), governance and controls (Assurance), and measurement and effectiveness (Science). We have the proven ability to effectively support large, complex organizations and deliver multiple projects simultaneously. As evidenced through our strong track record with clients, we pride ourselves on the consistent high quality of service delivery and the ability to accelerate transformation and growth. mediasense has over 200 employees across London, New York, Singapore and New Delhi. For more information, visit What We Offer Hybrid working Initial 28 days holiday (before bank holidays) with an accrual of 4 days over first 4 years of service Day off for your birthday + 10 days annual leave purchase per year Length of service awards Work from any location in the world up to 4 weeks per year Bonuses: Discretionary company bonus scheme & new business bonus, employee referral bonus Pension & Group life insurance Private healthcare, enhanced parental, Employee assistance program Annual season ticket loan, Cycle to work scheme + Tech & voucher schemes Eye test & contribution towards glasses for VDU Charity Day plus fund raising events for charity Learning & development opportunities Frequent events; such as summer, winter & bi weekly socials Free fruit & snacks + building linked benefits such as being dog friendly, access to gyms & complementary gifts, classes or discounts The Role This role is for Data Platform Engineer, based in London. This role sits within our Data & Insights team, which provides the analytical infrastructure that underpins our advisory work. The team is building a modern data lakehouse on Snowflake, migrating legacy Alteryx and Tableau workflows into automated, versioned pipelines, and packaging outputs as software products with formal release cycles. We treat data engineering with the same discipline as product engineering: version controlled, tested, continuously delivered, and documented. The role itself will involve a range of activities including: Release lifecycle ownership (end to end): treat data products like software products by defining a clear release strategy (versioning, promotion through environments, rollback), and managing database/schema changes so delivery is predictable, low risk, and repeatable CI/CD, testing & Git workflow: build and maintain automated test and deployment pipelines; establish branching and PR review discipline; write unit, integration, and data quality tests as a matter of course (not an afterthought) Operational health of the data platform: own monitoring, logging, alerting, and incident response for data pipelines and platform services; administer and optimise Snowflake (compute, performance, cost management, and access controls) Legacy maintenance & migration (supporting responsibility): maintain and gradually migrate legacy pipelines and applications across Alteryx, AWS, and Azure into the core lakehouse platform Infrastructure, security & data governance: contribute to reproducible, auditable environment management (Terraform or equivalent); help define and implement access controls, secrets handling, and data governance guardrails across CI/CD, Snowflake, and cloud services so security and compliance are built in by default Interfaces, standards & collaboration: work with analysts and data scientists to define clean interfaces and data contracts; help establish and evolve shared engineering standards and ways of working so delivery is repeatable, low friction, and resilient Documentation & runbooks: maintain clear technical documentation, operational runbooks, and post incident learnings so knowledge is transferable and systems don't rely on tribal memory The Candidate This is a hands on role for someone who wants real ownership in a lean, fast moving team. You bring software engineering discipline as a default behaviour: you default to automation over manual process, you question un versioned or untested code, and you treat CI/CD, testing, and release management as core practice applied to data products. The ideal candidate will have the following: Required (core) General project management- ability to manage timelines, communicate to stakeholders, and deliver to scope CI/CD & release management - practical experience owning automated build/test/deploy pipelines (GitHub Actions or equivalent), environment promotion, rollbacks, and change control Python - fluent for automation and pipeline/tooling development; writes clear, maintainable, testable code Git workflow & code review discipline - comfortable establishing branching strategy, pull request practices, and merge standards so a small team can ship safely Testing & quality mindset - writes tests as a default (unit/integration/data quality) and understands how to make failures visible and actionable (e.g., pytest, dbt tests, Great Expectations or equivalent) Debugging, troubleshooting & maintainable architecture - comfortable finding root causes in production issues; has opinions on how to structure a codebase that three people can work in without stepping on each other; values documentation and runbooks Required (domain) Snowflake - hands on with data modelling, SQL optimisation, compute management, and access controls dbt - production experience building and deploying models, tests, macros, and documentation Desirable AWS and/or Azure - comfortable navigating cloud environments to maintain and progressively migrate legacy workloads Orchestration - Airflow, Prefect, Dagster, or equivalent Infrastructure as code - Terraform or similar Data governance & observability - lineage, data quality frameworks, access policy, and monitoring/alerting practices Strong academic background in computer science, engineering, mathematics, or a related discipline preferred. More important than credentials: direct ownership, clear communication about what you know and don't, and code you're proud to have the next person read. Every application is reviewed by a human on our team (not AI), so it may take us a bit of time to get through them. Because of the large number of applications we receive, we're not always able to reply to everyone individually especially via messages but we truly appreciate your interest. Please note that we can only consider candidates who already have the right to work in the UK and do not require, now or in the future, visa sponsorship.
29/05/2026
Full time
Senior Data Platform Engineer 28 April 2026 London, UK An exciting opportunity has become available to be part of our fast growing team and to be a key part of the Technology & Innovation function. This role provides an outstanding opportunity to join a growing global integrated marketing advisory and will provide an ambitious individual with valuable experience for progression and development. The Company mediasense is a global, independent advisor that brings the clarity, connection and confidence modern marketers need to fuel growth. We help marketers eliminate waste and maximize the impact of their most significant investments at scale. Our ambition is to define and own an entirely new category - recognized as the world's most trusted, independent and impactful marketing advisor. We do this by elevating how clients operate, how agencies deliver, how platforms perform and how all parts of the ecosystem connect. Because progress doesn't happen in isolation, it takes alignment, intelligence and trust. That's what we enable. That's what we stand for. That's Unified Marketing Intelligence. mediasense is designed around how we help marketers optimize and transform through best in class structure and governance (Organization), partners and platforms (Ecosystem), governance and controls (Assurance), and measurement and effectiveness (Science). We have the proven ability to effectively support large, complex organizations and deliver multiple projects simultaneously. As evidenced through our strong track record with clients, we pride ourselves on the consistent high quality of service delivery and the ability to accelerate transformation and growth. mediasense has over 200 employees across London, New York, Singapore and New Delhi. For more information, visit What We Offer Hybrid working Initial 28 days holiday (before bank holidays) with an accrual of 4 days over first 4 years of service Day off for your birthday + 10 days annual leave purchase per year Length of service awards Work from any location in the world up to 4 weeks per year Bonuses: Discretionary company bonus scheme & new business bonus, employee referral bonus Pension & Group life insurance Private healthcare, enhanced parental, Employee assistance program Annual season ticket loan, Cycle to work scheme + Tech & voucher schemes Eye test & contribution towards glasses for VDU Charity Day plus fund raising events for charity Learning & development opportunities Frequent events; such as summer, winter & bi weekly socials Free fruit & snacks + building linked benefits such as being dog friendly, access to gyms & complementary gifts, classes or discounts The Role This role is for Data Platform Engineer, based in London. This role sits within our Data & Insights team, which provides the analytical infrastructure that underpins our advisory work. The team is building a modern data lakehouse on Snowflake, migrating legacy Alteryx and Tableau workflows into automated, versioned pipelines, and packaging outputs as software products with formal release cycles. We treat data engineering with the same discipline as product engineering: version controlled, tested, continuously delivered, and documented. The role itself will involve a range of activities including: Release lifecycle ownership (end to end): treat data products like software products by defining a clear release strategy (versioning, promotion through environments, rollback), and managing database/schema changes so delivery is predictable, low risk, and repeatable CI/CD, testing & Git workflow: build and maintain automated test and deployment pipelines; establish branching and PR review discipline; write unit, integration, and data quality tests as a matter of course (not an afterthought) Operational health of the data platform: own monitoring, logging, alerting, and incident response for data pipelines and platform services; administer and optimise Snowflake (compute, performance, cost management, and access controls) Legacy maintenance & migration (supporting responsibility): maintain and gradually migrate legacy pipelines and applications across Alteryx, AWS, and Azure into the core lakehouse platform Infrastructure, security & data governance: contribute to reproducible, auditable environment management (Terraform or equivalent); help define and implement access controls, secrets handling, and data governance guardrails across CI/CD, Snowflake, and cloud services so security and compliance are built in by default Interfaces, standards & collaboration: work with analysts and data scientists to define clean interfaces and data contracts; help establish and evolve shared engineering standards and ways of working so delivery is repeatable, low friction, and resilient Documentation & runbooks: maintain clear technical documentation, operational runbooks, and post incident learnings so knowledge is transferable and systems don't rely on tribal memory The Candidate This is a hands on role for someone who wants real ownership in a lean, fast moving team. You bring software engineering discipline as a default behaviour: you default to automation over manual process, you question un versioned or untested code, and you treat CI/CD, testing, and release management as core practice applied to data products. The ideal candidate will have the following: Required (core) General project management- ability to manage timelines, communicate to stakeholders, and deliver to scope CI/CD & release management - practical experience owning automated build/test/deploy pipelines (GitHub Actions or equivalent), environment promotion, rollbacks, and change control Python - fluent for automation and pipeline/tooling development; writes clear, maintainable, testable code Git workflow & code review discipline - comfortable establishing branching strategy, pull request practices, and merge standards so a small team can ship safely Testing & quality mindset - writes tests as a default (unit/integration/data quality) and understands how to make failures visible and actionable (e.g., pytest, dbt tests, Great Expectations or equivalent) Debugging, troubleshooting & maintainable architecture - comfortable finding root causes in production issues; has opinions on how to structure a codebase that three people can work in without stepping on each other; values documentation and runbooks Required (domain) Snowflake - hands on with data modelling, SQL optimisation, compute management, and access controls dbt - production experience building and deploying models, tests, macros, and documentation Desirable AWS and/or Azure - comfortable navigating cloud environments to maintain and progressively migrate legacy workloads Orchestration - Airflow, Prefect, Dagster, or equivalent Infrastructure as code - Terraform or similar Data governance & observability - lineage, data quality frameworks, access policy, and monitoring/alerting practices Strong academic background in computer science, engineering, mathematics, or a related discipline preferred. More important than credentials: direct ownership, clear communication about what you know and don't, and code you're proud to have the next person read. Every application is reviewed by a human on our team (not AI), so it may take us a bit of time to get through them. Because of the large number of applications we receive, we're not always able to reply to everyone individually especially via messages but we truly appreciate your interest. Please note that we can only consider candidates who already have the right to work in the UK and do not require, now or in the future, visa sponsorship.
Senior Data Engineer (Hands-On / Technical Lead Focus) Hybrid working - Central London Ashdown Group are partnering with an innovative, data-led organisation who are recruiting a Senior Data Engineer to take ownership of core data architecture and lead from the front technically. This is a hands-on senior role for someone who enjoys building robust data systems while mentoring others and raising engineering standards. The Role You will design, build, and optimise scalable data pipelines and models across Snowflake, Databricks, and cloud environments (AWS/GCP). Working closely with Data Science, Product, and Analytics teams, you'll ensure reliable, high-performance data flows that power AI and analytics products. Alongside deep technical delivery, you'll be responsible for leading the junior engineers and near shore partners as well as contribute to architectural direction and best practices. Key Responsibilities Design and maintain scalable data architectures across Snowflake and Databricks Lead schema design, dimensional modelling, and SQL performance optimisation Build robust ETL/ELT pipelines Develop resilient API ingestion workflows Implement data quality frameworks and enforce data contracts Build CI/CD pipelines and automated testing for data workflows Orchestrate pipelines using Airflow, Prefect, or Dagster Improve observability, monitoring, and lineage across data systems Mentor junior engineers and elevate engineering standards Key Skills and Experience Management of technical teams and near shore partners 5+ years' hands-on Data Engineering experience Expert-level SQL and advanced data modelling Strong Python Experience with Snowflake and Databricks Cloud experience Experience with orchestration tools (Airflow, Prefect) CI/CD and DataOps experience for data platforms This role will suit someone who is looking to remain hands on , whilst leading and mentoring a small team and near shore technical services providers. There is a lot of transformation work and this will be a technically influential position with a chance to work on AI-driven, high-impact products. Additionally you will have the opportunity to mentor and help scale engineering capability If you're a technically strong Senior Data Engineer who enjoys leading through expertise and building scalable, production-grade data systems, we'd love to hear from you This is a hybrid based role - 3 days in London office and 2 days working remotely. Salary up to £90,000 and generous benefits
29/05/2026
Full time
Senior Data Engineer (Hands-On / Technical Lead Focus) Hybrid working - Central London Ashdown Group are partnering with an innovative, data-led organisation who are recruiting a Senior Data Engineer to take ownership of core data architecture and lead from the front technically. This is a hands-on senior role for someone who enjoys building robust data systems while mentoring others and raising engineering standards. The Role You will design, build, and optimise scalable data pipelines and models across Snowflake, Databricks, and cloud environments (AWS/GCP). Working closely with Data Science, Product, and Analytics teams, you'll ensure reliable, high-performance data flows that power AI and analytics products. Alongside deep technical delivery, you'll be responsible for leading the junior engineers and near shore partners as well as contribute to architectural direction and best practices. Key Responsibilities Design and maintain scalable data architectures across Snowflake and Databricks Lead schema design, dimensional modelling, and SQL performance optimisation Build robust ETL/ELT pipelines Develop resilient API ingestion workflows Implement data quality frameworks and enforce data contracts Build CI/CD pipelines and automated testing for data workflows Orchestrate pipelines using Airflow, Prefect, or Dagster Improve observability, monitoring, and lineage across data systems Mentor junior engineers and elevate engineering standards Key Skills and Experience Management of technical teams and near shore partners 5+ years' hands-on Data Engineering experience Expert-level SQL and advanced data modelling Strong Python Experience with Snowflake and Databricks Cloud experience Experience with orchestration tools (Airflow, Prefect) CI/CD and DataOps experience for data platforms This role will suit someone who is looking to remain hands on , whilst leading and mentoring a small team and near shore technical services providers. There is a lot of transformation work and this will be a technically influential position with a chance to work on AI-driven, high-impact products. Additionally you will have the opportunity to mentor and help scale engineering capability If you're a technically strong Senior Data Engineer who enjoys leading through expertise and building scalable, production-grade data systems, we'd love to hear from you This is a hybrid based role - 3 days in London office and 2 days working remotely. Salary up to £90,000 and generous benefits
Hillwood Investment Properties is a leader in acquiring and developing high-quality industrial properties with 307.1M SF acquired and developed across the U.S., Canada, the United Kingdom, and Europe. Hillwood pursues well-located, functional land in the path of progress and has one of the largest land banks with a capacity of over 129.2M SF for future development. Hillwood collaboratively builds successful partnerships with public and private landowners, as well as other developers, to execute and invest in a broad spectrum of industrial projects. As a privately held company, Hillwood possesses the depth of capital, market expertise, industry relationships, and a forward-thinking vision to buy and build industrial properties that meet evolving markets' logistics, distribution, and manufacturing demands. For more information on Hillwood's latest industrial availabilities across the U.S., U.K., and E.U., visit Position Summary Hillwood Investment Properties (HIP) is seeking a technically strong and analytically driven Data Engineer to join our London office and support our institutional real estate investment platform. This role sits at the intersection of data engineering and investment strategy. The selected candidate will design and build the data infrastructure that supports underwriting, forecasting, scenario modeling, and portfolio analytics across the UK and European platform. Working closely with investment professionals in both London, Europe and the United States the Data Engineer will identify workflow inefficiencies, develop scalable technical solutions, and help institutionalize data architecture across the business. This is a high-impact role with meaningful ownership over the evolution of the team's analytics and data platform. Success in this role requires strong attention to detail, disciplined data governance practices, and the ability to proactively communicate across cross-functional teams and geographies. The ideal candidate will be comfortable translating technical concepts for investment professionals, collaborating across time zones, and ensuring data integrity in a fast-paced, deal-driven environment. The position is well suited for an early-career data engineer or strong STEM graduate who thrives in a rigorous investment setting, values precision and accountability, and is motivated to build production grade data systems that directly inform capital allocation decisions. Responsibilities Design, build, and maintain scalable ETL/ELT pipelines supporting underwriting, forecasting, scenario modeling, and portfolio analytics. Develop robust data ingestion processes integrating financial models, property management systems, market data providers, internal databases, and third-party APIs. Implement batch and real time processing frameworks to support investment decision-making. Optimize pipeline performance, reliability, and scalability to support growing datasets. Data Warehousing & Modeling Design and maintain structured data warehouses and lakehouse environments to support analytics and reporting. Develop optimized data models (fact/dimension schemas, financial reporting models, reconciliation layers) tailored to investment workflows. Create curated data layers enabling efficient dashboarding, BI tools, and ad hoc analysis. Continuously improve data storage architecture to reduce redundancy and enhance performance. Data Governance, Quality & Controls Establish and monitor data quality controls, validation checks, and reconciliation frameworks. Implement governance standards to ensure data consistency, integrity, and traceability across investment datasets. Partner with investment professionals to define data definitions, metrics, and standardized reporting methodologies. Document data pipelines, system architecture, and workflows to enhance transparency and institutional knowledge. Business Partnership & Solution Design Collaborate with analysts and senior investment professionals to translate business requirements into scalable technical solutions. Identify process inefficiencies within underwriting and portfolio management workflows and propose automation or system enhancements. Support advanced analytics, modeling, and scenario analysis initiatives. Serve as a technical advisor on data related strategy and infrastructure decisions. Evaluate and implement modern data engineering tools, frameworks, and best practices. Stay current on emerging technologies in cloud data platforms, streaming architectures, and financial data systems. Contribute to the long term roadmap for evolving the firm's data and analytics infrastructure. Required Skills and Abilities Strong proficiency in SQL and Python. Demonstrated experience building and maintaining scalable ETL/ELT pipelines. Experience designing data warehouses and optimized data models. Familiarity with cloud based data platforms (e.g., Azure). Experience with enterprise data warehouses such as Snowflake, Redshift, BigQuery, or Databricks. Hands on experience with data ingestion and streaming tools (Kafka, Airbyte, Debezium). Experience working with lakehouse table formats such as Iceberg, Delta Lake, or Hudi. Practical experience with distributed processing frameworks such as Spark, Flink, or Databricks. Familiarity with Git and version control systems (preferably Azure DevOps). Strong analytical thinking, performance optimization skills, and attention to data quality and reconciliation. Demonstrated interest in financial markets, real estate investment, or quantitative modeling. Ability to communicate technical concepts to non technical stakeholders. Education and Experience Bachelor's degree in physics, Engineering, Mathematics, Computer Science, or related STEM field. 1-3 years of experience as a Data Engineer or in a comparable technical role. Strong internship, research, or applied project experience in data engineering, distributed systems, or analytics infrastructure.
29/05/2026
Full time
Hillwood Investment Properties is a leader in acquiring and developing high-quality industrial properties with 307.1M SF acquired and developed across the U.S., Canada, the United Kingdom, and Europe. Hillwood pursues well-located, functional land in the path of progress and has one of the largest land banks with a capacity of over 129.2M SF for future development. Hillwood collaboratively builds successful partnerships with public and private landowners, as well as other developers, to execute and invest in a broad spectrum of industrial projects. As a privately held company, Hillwood possesses the depth of capital, market expertise, industry relationships, and a forward-thinking vision to buy and build industrial properties that meet evolving markets' logistics, distribution, and manufacturing demands. For more information on Hillwood's latest industrial availabilities across the U.S., U.K., and E.U., visit Position Summary Hillwood Investment Properties (HIP) is seeking a technically strong and analytically driven Data Engineer to join our London office and support our institutional real estate investment platform. This role sits at the intersection of data engineering and investment strategy. The selected candidate will design and build the data infrastructure that supports underwriting, forecasting, scenario modeling, and portfolio analytics across the UK and European platform. Working closely with investment professionals in both London, Europe and the United States the Data Engineer will identify workflow inefficiencies, develop scalable technical solutions, and help institutionalize data architecture across the business. This is a high-impact role with meaningful ownership over the evolution of the team's analytics and data platform. Success in this role requires strong attention to detail, disciplined data governance practices, and the ability to proactively communicate across cross-functional teams and geographies. The ideal candidate will be comfortable translating technical concepts for investment professionals, collaborating across time zones, and ensuring data integrity in a fast-paced, deal-driven environment. The position is well suited for an early-career data engineer or strong STEM graduate who thrives in a rigorous investment setting, values precision and accountability, and is motivated to build production grade data systems that directly inform capital allocation decisions. Responsibilities Design, build, and maintain scalable ETL/ELT pipelines supporting underwriting, forecasting, scenario modeling, and portfolio analytics. Develop robust data ingestion processes integrating financial models, property management systems, market data providers, internal databases, and third-party APIs. Implement batch and real time processing frameworks to support investment decision-making. Optimize pipeline performance, reliability, and scalability to support growing datasets. Data Warehousing & Modeling Design and maintain structured data warehouses and lakehouse environments to support analytics and reporting. Develop optimized data models (fact/dimension schemas, financial reporting models, reconciliation layers) tailored to investment workflows. Create curated data layers enabling efficient dashboarding, BI tools, and ad hoc analysis. Continuously improve data storage architecture to reduce redundancy and enhance performance. Data Governance, Quality & Controls Establish and monitor data quality controls, validation checks, and reconciliation frameworks. Implement governance standards to ensure data consistency, integrity, and traceability across investment datasets. Partner with investment professionals to define data definitions, metrics, and standardized reporting methodologies. Document data pipelines, system architecture, and workflows to enhance transparency and institutional knowledge. Business Partnership & Solution Design Collaborate with analysts and senior investment professionals to translate business requirements into scalable technical solutions. Identify process inefficiencies within underwriting and portfolio management workflows and propose automation or system enhancements. Support advanced analytics, modeling, and scenario analysis initiatives. Serve as a technical advisor on data related strategy and infrastructure decisions. Evaluate and implement modern data engineering tools, frameworks, and best practices. Stay current on emerging technologies in cloud data platforms, streaming architectures, and financial data systems. Contribute to the long term roadmap for evolving the firm's data and analytics infrastructure. Required Skills and Abilities Strong proficiency in SQL and Python. Demonstrated experience building and maintaining scalable ETL/ELT pipelines. Experience designing data warehouses and optimized data models. Familiarity with cloud based data platforms (e.g., Azure). Experience with enterprise data warehouses such as Snowflake, Redshift, BigQuery, or Databricks. Hands on experience with data ingestion and streaming tools (Kafka, Airbyte, Debezium). Experience working with lakehouse table formats such as Iceberg, Delta Lake, or Hudi. Practical experience with distributed processing frameworks such as Spark, Flink, or Databricks. Familiarity with Git and version control systems (preferably Azure DevOps). Strong analytical thinking, performance optimization skills, and attention to data quality and reconciliation. Demonstrated interest in financial markets, real estate investment, or quantitative modeling. Ability to communicate technical concepts to non technical stakeholders. Education and Experience Bachelor's degree in physics, Engineering, Mathematics, Computer Science, or related STEM field. 1-3 years of experience as a Data Engineer or in a comparable technical role. Strong internship, research, or applied project experience in data engineering, distributed systems, or analytics infrastructure.
About Zip Here at Zip, we're reimagining how modern businesses function in the age of AI. The simple task of buying software, services, or tools at work has become hopelessly complicated at even the most innovative companies in the world. Today, enterprises spend $120T+ per year globally (>30 times larger than annual consumer e-commerce spend) and rely on vendors more than ever before to run their businesses. Our co-founders started Zip in 2020 to address this seemingly universal problem with a purpose-built procurement platform that provides a simple, consumer-grade user experience. Within the last 5 years, Zip has created a new category and developed the leading solution in this $50B+ TAM space. Today, the world's leading companies like OpenAI, Snowflake, Anthropic, Coinbase, and JPMorgan Chase rely on Zip to manage billions of dollars in spend. We have a world-class team coming from category-defining companies like Airbnb, Meta, Stripe, Salesforce, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, Tiger Global, BOND, DST Global, and CRV, we're focused on developing cutting edge technology, expanding into new global markets, and-above all-driving incredible value for our customers. Join us! Your Role As a Senior Technical Support Engineer (TSE) on the Customer team, you play a mission critical role in ensuring our customers receive fast, accurate, and technically excellent support. You serve as the highest internal technical escalation point, combining deep product mastery with a strong ability to diagnose complex issues across integrations, workflows, and customer environments. You are the connective tissue between Support, Product, and Engineering, ensuring issues are surfaced with clear repro steps, impact assessments, and prioritization signals. You lead with operational rigor-improving processes, eliminating inefficiencies, and strengthening the pathways from customer reported issues to engineering resolution. In this role, you'll become an expert across Zip's rapidly expanding ecosystem-Procurement, Intake, Approvals, Suppliers, ERP and SSO integrations, and our broader workflow engine-while directly supporting marquee customers including Coinbase, Snowflake, Notion, Canva, Samsara, and Databricks. Your impact will scale as Zip grows: every improvement you introduce strengthens the technical foundation of our entire Customer organization. Please note this role will be supporting our Israeli customers. You will Technical Escalation & Issue Resolution Serve as the final technical escalation point for Support, unblocking TSEs, CSMs, and onboarding teams with expert level troubleshooting. Triage and validate bugs, perform deep dive investigations, reproduce issues, and determine ownership before routing to Engineering with complete context. Partner directly with Engineering to master Zip's architecture, including workflow nodes, task engines, integrations, and API layers. Operational Excellence & Process Ownership Identify, build, and maintain scalable escalation pathways from Customer Product Engineering. Strengthen internal triage processes by closing knowledge gaps, improving documentation, and optimizing tooling and workflows. Develop clear standards for debugging, ticket handoffs, reproduction steps, and prioritization signals to improve Engineering alignment and SLA predictability. Customer Advocacy & Cross Functional Partnership Collaborate with Product as the voice of the customer, influencing roadmap decisions through patterns surfaced in escalations. Work directly with customers when highly technical or urgent issues require senior level expertise. Support Sales, CSM, Onboarding, and TAM functions as a subject matter expert across procurement workflows, integrations, and system configurations. Data & Tooling Use internal tools, logs, and observability platforms (e.g., DataDog) to analyze customer configurations, trace failures, and understand system behavior. Validate integration flows using REST/GraphQL payloads, webhooks, APIs, and third party systems. Drive improvements by identifying systemic issues from recurring case patterns. Qualifications 5-6 years in a technical, customer facing role, with at least 2 years serving as an escalation point or senior technical leader within Support. Proven experience partnering directly with Engineering teams as the conduit between customer facing teams and R&D. Demonstrated success supporting enterprise scale customers across multiple industries. Track record of owning complex problems end to end, especially in high pressure scenarios or SLA sensitive engagements. Core Skills Exceptional written and verbal communication, with the ability to simplify complex technical concepts for non technical stakeholders. Strong prioritization, time management, and operational discipline across multiple active issues. Fast learner with the ability to quickly master complex architectures, workflows, and integrations. Technical Skills Advanced debugging skills with REST APIs, GraphQL, OAuth flows, SSO (Okta, Azure AD), webhooks, and integration payloads. Experience with iPaaS tools, custom integration development, and working across ERP systems such as NetSuite, Oracle, or SAP. Familiarity with SCIM, identity provisioning flows, and access control models. Strong understanding of OOD principles and experience with SQL (MySQL, PostgreSQL). Fluent in interpreting JSON, XML, CSV, and Excel based datasets. Competency with bash/shell, code editors, and common debugging utilities. Ability to read and interpret exception stack traces and logs. Exposure to cloud platforms (AWS, Azure, or GCP) and, ideally, containerized/microservice architectures (Docker, Kubernetes). Experience with Ruby, Python, JavaScript, or similar languages is a plus. Perks & Benefits At Zip, we're committed to providing our employees with everything they need to do their best work. Start up equity Full health, vision & dental coverage Commuter benefit Team building events & happy hours Flexible PTO Apple equipment plus home office budget We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!
29/05/2026
Full time
About Zip Here at Zip, we're reimagining how modern businesses function in the age of AI. The simple task of buying software, services, or tools at work has become hopelessly complicated at even the most innovative companies in the world. Today, enterprises spend $120T+ per year globally (>30 times larger than annual consumer e-commerce spend) and rely on vendors more than ever before to run their businesses. Our co-founders started Zip in 2020 to address this seemingly universal problem with a purpose-built procurement platform that provides a simple, consumer-grade user experience. Within the last 5 years, Zip has created a new category and developed the leading solution in this $50B+ TAM space. Today, the world's leading companies like OpenAI, Snowflake, Anthropic, Coinbase, and JPMorgan Chase rely on Zip to manage billions of dollars in spend. We have a world-class team coming from category-defining companies like Airbnb, Meta, Stripe, Salesforce, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, Tiger Global, BOND, DST Global, and CRV, we're focused on developing cutting edge technology, expanding into new global markets, and-above all-driving incredible value for our customers. Join us! Your Role As a Senior Technical Support Engineer (TSE) on the Customer team, you play a mission critical role in ensuring our customers receive fast, accurate, and technically excellent support. You serve as the highest internal technical escalation point, combining deep product mastery with a strong ability to diagnose complex issues across integrations, workflows, and customer environments. You are the connective tissue between Support, Product, and Engineering, ensuring issues are surfaced with clear repro steps, impact assessments, and prioritization signals. You lead with operational rigor-improving processes, eliminating inefficiencies, and strengthening the pathways from customer reported issues to engineering resolution. In this role, you'll become an expert across Zip's rapidly expanding ecosystem-Procurement, Intake, Approvals, Suppliers, ERP and SSO integrations, and our broader workflow engine-while directly supporting marquee customers including Coinbase, Snowflake, Notion, Canva, Samsara, and Databricks. Your impact will scale as Zip grows: every improvement you introduce strengthens the technical foundation of our entire Customer organization. Please note this role will be supporting our Israeli customers. You will Technical Escalation & Issue Resolution Serve as the final technical escalation point for Support, unblocking TSEs, CSMs, and onboarding teams with expert level troubleshooting. Triage and validate bugs, perform deep dive investigations, reproduce issues, and determine ownership before routing to Engineering with complete context. Partner directly with Engineering to master Zip's architecture, including workflow nodes, task engines, integrations, and API layers. Operational Excellence & Process Ownership Identify, build, and maintain scalable escalation pathways from Customer Product Engineering. Strengthen internal triage processes by closing knowledge gaps, improving documentation, and optimizing tooling and workflows. Develop clear standards for debugging, ticket handoffs, reproduction steps, and prioritization signals to improve Engineering alignment and SLA predictability. Customer Advocacy & Cross Functional Partnership Collaborate with Product as the voice of the customer, influencing roadmap decisions through patterns surfaced in escalations. Work directly with customers when highly technical or urgent issues require senior level expertise. Support Sales, CSM, Onboarding, and TAM functions as a subject matter expert across procurement workflows, integrations, and system configurations. Data & Tooling Use internal tools, logs, and observability platforms (e.g., DataDog) to analyze customer configurations, trace failures, and understand system behavior. Validate integration flows using REST/GraphQL payloads, webhooks, APIs, and third party systems. Drive improvements by identifying systemic issues from recurring case patterns. Qualifications 5-6 years in a technical, customer facing role, with at least 2 years serving as an escalation point or senior technical leader within Support. Proven experience partnering directly with Engineering teams as the conduit between customer facing teams and R&D. Demonstrated success supporting enterprise scale customers across multiple industries. Track record of owning complex problems end to end, especially in high pressure scenarios or SLA sensitive engagements. Core Skills Exceptional written and verbal communication, with the ability to simplify complex technical concepts for non technical stakeholders. Strong prioritization, time management, and operational discipline across multiple active issues. Fast learner with the ability to quickly master complex architectures, workflows, and integrations. Technical Skills Advanced debugging skills with REST APIs, GraphQL, OAuth flows, SSO (Okta, Azure AD), webhooks, and integration payloads. Experience with iPaaS tools, custom integration development, and working across ERP systems such as NetSuite, Oracle, or SAP. Familiarity with SCIM, identity provisioning flows, and access control models. Strong understanding of OOD principles and experience with SQL (MySQL, PostgreSQL). Fluent in interpreting JSON, XML, CSV, and Excel based datasets. Competency with bash/shell, code editors, and common debugging utilities. Ability to read and interpret exception stack traces and logs. Exposure to cloud platforms (AWS, Azure, or GCP) and, ideally, containerized/microservice architectures (Docker, Kubernetes). Experience with Ruby, Python, JavaScript, or similar languages is a plus. Perks & Benefits At Zip, we're committed to providing our employees with everything they need to do their best work. Start up equity Full health, vision & dental coverage Commuter benefit Team building events & happy hours Flexible PTO Apple equipment plus home office budget We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!
About Unity Advisory Unity Advisory is a new-generation professional services firm built for an AI-enabled world. We operate a lean, conflict-free, and client-centric model that integrates advanced technology and AI into every workstream. With no audit practice, we are free from traditional conflicts and legacy silos. This allows us to move faster, collaborate openly, and focus entirely on creating value for clients. Our flat structure and collaborative culture empower exceptional people to deliver exceptional work. We combine deep advisory expertise with cutting-edge data, AI, and commercial insight to help clients navigate complex challenges faster, smarter, and with greater clarity. At Unity, we are redefining how expert advisory is delivered-one innovative engagement at a time. The Role We are looking for a highly skilled and commercially aware Data Engineer to join Unity Advisory in an internal-facing role, working on our Core Internal AI & Data Platform. This is a senior, hands on engineering position responsible for designing, building, and operating scalable data foundations that enable analytics, AI use cases, and data driven decision making across the firm. You will play a critical role in ensuring data is reliable, well modelled, governed, and easily accessible for internal teams. While this role will initially operate in a hands on capacity, there is a clear opportunity to help shape data standards, influence platform direction, and contribute to the build out of a data team as the function scales. What You'll Do The working environment at Unity Advisory is fast paced and evolving. You will be involved in some or all of the following: Design, build, and maintain scalable data pipelines, warehouses, and transformation layers that support analytics and AI workloads. Develop robust data models and semantic layers using Snowflake and AWS RDS to ensure trusted, analytics ready data. Implement and maintain modern data stacks across warehousing, ingestion, and orchestration tools. Optimise data tracking and collection frameworks, with a focus on high quality first party data strategies. Embed best practices around data quality, testing, observability, documentation, and reliability. Support governance and compliance requirements, including GDPR, cookies, and internal data standards. Deliver efficiency gains through automation, improved data workflows, and thoughtful technology choices. Collaborate closely with AI engineers, full stack engineers, and platform leads to support advanced analytics and AI/ML experimentation. Contribute to the evolution of Unity Advisory's internal data platform architecture and standards. What You Bring 7+ years' experience in data engineering, analytics engineering, or closely related roles. Strong hands on expertise across: Data Modelling & Transformation: SQL, Python Warehousing & ETL: Snowflake, BigQuery, Fivetran, Airbyte, Snowpipe BI & Analytics Enablement: Looker, Tableau, PowerBI, hex.tech, Streamlit Cloud Platforms: AWS and/or Google Cloud Solid understanding of data architecture, pipeline design, and performance optimisation. Experience implementing data governance, quality, and compliance controls in production environments. Strong commercial mindset with the ability to understand how data supports business outcomes. Proven ability to work autonomously and own data systems end to end. Excellent collaboration and communication skills, able to work effectively with technical and non technical stakeholders. Comfortable operating in a fast growth, entrepreneurial environment with evolving requirements. Nice to Have Exposure to AI/ML workflows and experimentation. Experience working on internal data platforms or shared data products. Background in professional services, advisory, or project based environments. Experience helping scale data capabilities from early stage foundations. Working at Unity Advisory A truly hybrid and flexible working environment. We offer the opportunity to be at the forefront of AI driven advisory services. You'll be part of a high impact finance function, empowered to shape how we scale our systems and processes. This is an exciting opportunity to join a fast growing business and accelerate your finance career. Additional Information At Unity Advisory, we are committed to providing an inclusive and accessible recruitment process. In line with the Equality Act 2010, we will accommodate any suitable candidate requiring assistance to attend or conduct an interview. If you need any adjustments or support, please let us know when either scheduling your interview or in your application cover letter. We are dedicated to ensuring everyone has an equal opportunity to succeed and are here to support you throughout the process. PLEASE NOTE We do not accept unsolicited CVs from third party agencies.
29/05/2026
Full time
About Unity Advisory Unity Advisory is a new-generation professional services firm built for an AI-enabled world. We operate a lean, conflict-free, and client-centric model that integrates advanced technology and AI into every workstream. With no audit practice, we are free from traditional conflicts and legacy silos. This allows us to move faster, collaborate openly, and focus entirely on creating value for clients. Our flat structure and collaborative culture empower exceptional people to deliver exceptional work. We combine deep advisory expertise with cutting-edge data, AI, and commercial insight to help clients navigate complex challenges faster, smarter, and with greater clarity. At Unity, we are redefining how expert advisory is delivered-one innovative engagement at a time. The Role We are looking for a highly skilled and commercially aware Data Engineer to join Unity Advisory in an internal-facing role, working on our Core Internal AI & Data Platform. This is a senior, hands on engineering position responsible for designing, building, and operating scalable data foundations that enable analytics, AI use cases, and data driven decision making across the firm. You will play a critical role in ensuring data is reliable, well modelled, governed, and easily accessible for internal teams. While this role will initially operate in a hands on capacity, there is a clear opportunity to help shape data standards, influence platform direction, and contribute to the build out of a data team as the function scales. What You'll Do The working environment at Unity Advisory is fast paced and evolving. You will be involved in some or all of the following: Design, build, and maintain scalable data pipelines, warehouses, and transformation layers that support analytics and AI workloads. Develop robust data models and semantic layers using Snowflake and AWS RDS to ensure trusted, analytics ready data. Implement and maintain modern data stacks across warehousing, ingestion, and orchestration tools. Optimise data tracking and collection frameworks, with a focus on high quality first party data strategies. Embed best practices around data quality, testing, observability, documentation, and reliability. Support governance and compliance requirements, including GDPR, cookies, and internal data standards. Deliver efficiency gains through automation, improved data workflows, and thoughtful technology choices. Collaborate closely with AI engineers, full stack engineers, and platform leads to support advanced analytics and AI/ML experimentation. Contribute to the evolution of Unity Advisory's internal data platform architecture and standards. What You Bring 7+ years' experience in data engineering, analytics engineering, or closely related roles. Strong hands on expertise across: Data Modelling & Transformation: SQL, Python Warehousing & ETL: Snowflake, BigQuery, Fivetran, Airbyte, Snowpipe BI & Analytics Enablement: Looker, Tableau, PowerBI, hex.tech, Streamlit Cloud Platforms: AWS and/or Google Cloud Solid understanding of data architecture, pipeline design, and performance optimisation. Experience implementing data governance, quality, and compliance controls in production environments. Strong commercial mindset with the ability to understand how data supports business outcomes. Proven ability to work autonomously and own data systems end to end. Excellent collaboration and communication skills, able to work effectively with technical and non technical stakeholders. Comfortable operating in a fast growth, entrepreneurial environment with evolving requirements. Nice to Have Exposure to AI/ML workflows and experimentation. Experience working on internal data platforms or shared data products. Background in professional services, advisory, or project based environments. Experience helping scale data capabilities from early stage foundations. Working at Unity Advisory A truly hybrid and flexible working environment. We offer the opportunity to be at the forefront of AI driven advisory services. You'll be part of a high impact finance function, empowered to shape how we scale our systems and processes. This is an exciting opportunity to join a fast growing business and accelerate your finance career. Additional Information At Unity Advisory, we are committed to providing an inclusive and accessible recruitment process. In line with the Equality Act 2010, we will accommodate any suitable candidate requiring assistance to attend or conduct an interview. If you need any adjustments or support, please let us know when either scheduling your interview or in your application cover letter. We are dedicated to ensuring everyone has an equal opportunity to succeed and are here to support you throughout the process. PLEASE NOTE We do not accept unsolicited CVs from third party agencies.
We arebuilding the connectivity layer that powers digital payments across the world's largest wallet network - already embedded in platforms serving tens of millions of users across 120+ countries. As we scale our payments, data is becoming foundational to everything we do. This is the moment we move from MVP pipelines to production-grade architecture - and we need a senior engineer to help build it. The Role You'll design and operate the data platform behind a real-time, high-volume global payments network. Working closely with the Data Engineering Lead, you'll build event-driven pipelines, ensure data quality across critical financial workflows, and develop backend services that expose clean, reliable data across the business. What You'll Do Design and operate scalable, near real-time data pipelines across high-volume transaction flows Own data quality, monitoring, and observability for financial-grade systems Model transactional and ledger-style data - reconciliation, merchant reporting, and settlement tracking Build backend services that expose data to internal platforms and APIs Shape the platform architecture as requirements grow What You Bring 5+ years building and operating production data systems Strong SQL and Python skills with expertise in large-scale data processing Hands-on experience with modern data stack tools - Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar Experience with event-driven, real-time or near real-time architectures A first-class approach to data correctness, reliability, and monitoring Ability to own systems end-to-end in a remote, async environment Preferred: Background in fintech, payments, or financial data - reconciliation, settlement, or ledger reporting Exposure to Web3, blockchain, or on-chain data ecosystems Rust experience or willingness to learn. We are particularly interested in engineers who have cut their teeth in demanding fintech or payments ecosystems - the kind of environments where data correctness, transaction volume, and reliability are non-negotiable. You'll join at a pivotal moment - not inheriting a finished platform, but helping define one. If you're energised by building data infrastructure that genuinely matters at scale, this is your opportunity.
29/05/2026
Full time
We arebuilding the connectivity layer that powers digital payments across the world's largest wallet network - already embedded in platforms serving tens of millions of users across 120+ countries. As we scale our payments, data is becoming foundational to everything we do. This is the moment we move from MVP pipelines to production-grade architecture - and we need a senior engineer to help build it. The Role You'll design and operate the data platform behind a real-time, high-volume global payments network. Working closely with the Data Engineering Lead, you'll build event-driven pipelines, ensure data quality across critical financial workflows, and develop backend services that expose clean, reliable data across the business. What You'll Do Design and operate scalable, near real-time data pipelines across high-volume transaction flows Own data quality, monitoring, and observability for financial-grade systems Model transactional and ledger-style data - reconciliation, merchant reporting, and settlement tracking Build backend services that expose data to internal platforms and APIs Shape the platform architecture as requirements grow What You Bring 5+ years building and operating production data systems Strong SQL and Python skills with expertise in large-scale data processing Hands-on experience with modern data stack tools - Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar Experience with event-driven, real-time or near real-time architectures A first-class approach to data correctness, reliability, and monitoring Ability to own systems end-to-end in a remote, async environment Preferred: Background in fintech, payments, or financial data - reconciliation, settlement, or ledger reporting Exposure to Web3, blockchain, or on-chain data ecosystems Rust experience or willingness to learn. We are particularly interested in engineers who have cut their teeth in demanding fintech or payments ecosystems - the kind of environments where data correctness, transaction volume, and reliability are non-negotiable. You'll join at a pivotal moment - not inheriting a finished platform, but helping define one. If you're energised by building data infrastructure that genuinely matters at scale, this is your opportunity.
Novatus is a Series B scale-up RegTech SaaS provider and boutique advisory practice, enabling financial services firms to solve complex challenges and redefine what's possible through expert-led technology and consulting. Across both our technology and consulting services, Novatus delivers practical solutions to some of the most complex regulatory, data and operational challenges in financial services. Our SaaS platform, En>ACT ( short for Ensuring Accurate, Complete and Timely reporting ), is a market-leading solution for regulatory transaction reporting and reconciliation, providing real-time, independent oversight of transaction reporting across all global regulatory regimes. En>ACT is the only real-time assurance solution that tests 100% of transactions and 100% of fields, replacing sample-based reviews and static PDF reports delivered months after the event with live, actionable insights. This helps firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 45 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services to solve complex challenges, combining deep expertise, ownership and delivery to create lasting change. Our expertise spans Strategy & Operations, Data & AI, Risk & Resilience, Compliance, Transaction Reporting, and ESG. We embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake's global data platform, we are shaping the future of financial services through innovation in both consulting and technology. Now a team of 120 globally, our growth plans do not stop here: we are looking for top-tier talent to join us on our journey and enable our next phase of success. Senior DevOps Engineer Novatus HQ - 2 London Wall Place, EC2Y 5AU Job Overview: As a Senior DevOps Engineer , you will scope and deliver complex infrastructure projects end-to-end, building and maintaining scalable, secure, and performant systems. You'll contribute to our technology direction and drive initiatives that align with our business objectives, with an emphasis on automation, delivery pace, reliability, and cost efficiency. This role requires a strong technical background and a proven track record of building and scaling systems in complex environments. You'll be joining as we have begun actively modernizing our infrastructure from traditional deployments to automation and cloud-native systems with AWS, Terraform, GitHub Actions, Databricks, Snowflake and Grafana. Key Responsibilities: Design and implement AWS cloud infrastructure, writing clean and maintainable Infrastructure as Code for repeatable, auditable deployments across environments. Drive reliability, scalability, security, observability and cost efficiency of AWS infrastructure. Provide mentorship to other DevOps engineers, sharing expertise and raising engineering quality across the team. Develop and maintain robust and effective CI/CD pipelines. Troubleshoot and resolve complex infrastructure issues, ensuring minimal impact on business operations. Explore and evaluate new technologies, tools, and patterns that improve platform reliability and delivery pace. Partner with Data Engineering to support platform infrastructure (AWS, Databricks, Snowflake). About You: Requirements: Strong hands-on AWS infrastructure experience, including IAM, VPCs, compute, containers, load balancing, storage, security, resilience, and cost optimization. Hands-on experience deploying and operating applications on Kubernetes in production, including Helm/manifests, ingress, configuration/secrets, observability, and troubleshooting live workloads. Proficient with Infrastructure as Code, especially Terraform, with experience building maintainable, reusable modules and environment patterns. Solid production networking knowledge: TCP/IP, DNS, TLS, BGP, routing, subnets, NAT, firewalls/security groups, VPN/private connectivity, load balancers, and practical troubleshooting. Experience operating cloud infrastructure in regulated environments (e.g. GDPR, ISO 27001, SOC 2). Experience designing observability, monitoring, logging, and alerting solutions for distributed systems. Strong software engineering ability beyond basic scripting. Ideally someone who has contributed to larger software projects or built maintainable platform/backend tooling in a language such as Python, Go, Java, TypeScript, or similar. Comfortable using modern AI-assisted engineering workflows, including agentic coding tools and LLM-based automation. Familiarity with concepts such as MCP servers, tool-calling, RAG/vector search, embeddings, and AI-assisted platform operations. Working knowledge of databases and data platforms, including SQL databases such as PostgreSQL/MySQL and exposure to NoSQL or distributed data stores. Track record of independently scoping and delivering complex infrastructure projects end-to-end. Experience mentoring engineers and sharing technical expertise across a team. Excellent communication and stakeholder management skills. Nice-to-haves: Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified Security, or AWS Certified DevOps Engineer). Databricks and/or Snowflake infrastructure experience. Kafka operations or other event streaming platforms. Experience on infrastructure modernization or migration programs. FinTech, RegTech, or financial services background. Why Join Us? Work Across Disciplines: You won't be confined to a single track- you will develop a broader skillset across our capabilities and offerings. Solve Problems that Matter: Work on complex challenges, where your thinking, analysis, and execution have real impact. Flat, Visible, Collaborative: We keep the structure flat, so you can collaborate directly with senior leaders and experienced specialists. Your work is visible, your perspectives are valued, and you will see the impact of your contributions every day. A Place for Builders: This is a great place for people who enjoy driving results and taking ownership. If you are driven to add value and help grow our business, you will enjoy a rewarding experience that recognises your contributions. Perks & Benefits: Private Medical Insurance (via AXA): includes mental health, dental, vision, and private GP access Life Insurance - 4 salary (via Unum) Unum's : includes GP access, medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, mental health support, bereavement counselling, and cancer support services for you, your partner, and your child(ren) Salary sacrifice childcare and nursery scheme (via YellowNest) Employee Assistance Programme Enhanced parental leave (maternity & paternity) Professional qualification sponsorship Accelerated career progression based on readiness and performance, not tenure or time spent in role Holiday entitlement increases with tenure Flexible hours with core collaboration time Paid volunteering leave Gym & fitness discounts Bi-annual socials Office snacks and drinks Interest-based working groups to collaborate and innovate Novatus' Equal Opportunities Statement: Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.
29/05/2026
Full time
Novatus is a Series B scale-up RegTech SaaS provider and boutique advisory practice, enabling financial services firms to solve complex challenges and redefine what's possible through expert-led technology and consulting. Across both our technology and consulting services, Novatus delivers practical solutions to some of the most complex regulatory, data and operational challenges in financial services. Our SaaS platform, En>ACT ( short for Ensuring Accurate, Complete and Timely reporting ), is a market-leading solution for regulatory transaction reporting and reconciliation, providing real-time, independent oversight of transaction reporting across all global regulatory regimes. En>ACT is the only real-time assurance solution that tests 100% of transactions and 100% of fields, replacing sample-based reviews and static PDF reports delivered months after the event with live, actionable insights. This helps firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 45 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services to solve complex challenges, combining deep expertise, ownership and delivery to create lasting change. Our expertise spans Strategy & Operations, Data & AI, Risk & Resilience, Compliance, Transaction Reporting, and ESG. We embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake's global data platform, we are shaping the future of financial services through innovation in both consulting and technology. Now a team of 120 globally, our growth plans do not stop here: we are looking for top-tier talent to join us on our journey and enable our next phase of success. Senior DevOps Engineer Novatus HQ - 2 London Wall Place, EC2Y 5AU Job Overview: As a Senior DevOps Engineer , you will scope and deliver complex infrastructure projects end-to-end, building and maintaining scalable, secure, and performant systems. You'll contribute to our technology direction and drive initiatives that align with our business objectives, with an emphasis on automation, delivery pace, reliability, and cost efficiency. This role requires a strong technical background and a proven track record of building and scaling systems in complex environments. You'll be joining as we have begun actively modernizing our infrastructure from traditional deployments to automation and cloud-native systems with AWS, Terraform, GitHub Actions, Databricks, Snowflake and Grafana. Key Responsibilities: Design and implement AWS cloud infrastructure, writing clean and maintainable Infrastructure as Code for repeatable, auditable deployments across environments. Drive reliability, scalability, security, observability and cost efficiency of AWS infrastructure. Provide mentorship to other DevOps engineers, sharing expertise and raising engineering quality across the team. Develop and maintain robust and effective CI/CD pipelines. Troubleshoot and resolve complex infrastructure issues, ensuring minimal impact on business operations. Explore and evaluate new technologies, tools, and patterns that improve platform reliability and delivery pace. Partner with Data Engineering to support platform infrastructure (AWS, Databricks, Snowflake). About You: Requirements: Strong hands-on AWS infrastructure experience, including IAM, VPCs, compute, containers, load balancing, storage, security, resilience, and cost optimization. Hands-on experience deploying and operating applications on Kubernetes in production, including Helm/manifests, ingress, configuration/secrets, observability, and troubleshooting live workloads. Proficient with Infrastructure as Code, especially Terraform, with experience building maintainable, reusable modules and environment patterns. Solid production networking knowledge: TCP/IP, DNS, TLS, BGP, routing, subnets, NAT, firewalls/security groups, VPN/private connectivity, load balancers, and practical troubleshooting. Experience operating cloud infrastructure in regulated environments (e.g. GDPR, ISO 27001, SOC 2). Experience designing observability, monitoring, logging, and alerting solutions for distributed systems. Strong software engineering ability beyond basic scripting. Ideally someone who has contributed to larger software projects or built maintainable platform/backend tooling in a language such as Python, Go, Java, TypeScript, or similar. Comfortable using modern AI-assisted engineering workflows, including agentic coding tools and LLM-based automation. Familiarity with concepts such as MCP servers, tool-calling, RAG/vector search, embeddings, and AI-assisted platform operations. Working knowledge of databases and data platforms, including SQL databases such as PostgreSQL/MySQL and exposure to NoSQL or distributed data stores. Track record of independently scoping and delivering complex infrastructure projects end-to-end. Experience mentoring engineers and sharing technical expertise across a team. Excellent communication and stakeholder management skills. Nice-to-haves: Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified Security, or AWS Certified DevOps Engineer). Databricks and/or Snowflake infrastructure experience. Kafka operations or other event streaming platforms. Experience on infrastructure modernization or migration programs. FinTech, RegTech, or financial services background. Why Join Us? Work Across Disciplines: You won't be confined to a single track- you will develop a broader skillset across our capabilities and offerings. Solve Problems that Matter: Work on complex challenges, where your thinking, analysis, and execution have real impact. Flat, Visible, Collaborative: We keep the structure flat, so you can collaborate directly with senior leaders and experienced specialists. Your work is visible, your perspectives are valued, and you will see the impact of your contributions every day. A Place for Builders: This is a great place for people who enjoy driving results and taking ownership. If you are driven to add value and help grow our business, you will enjoy a rewarding experience that recognises your contributions. Perks & Benefits: Private Medical Insurance (via AXA): includes mental health, dental, vision, and private GP access Life Insurance - 4 salary (via Unum) Unum's : includes GP access, medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, mental health support, bereavement counselling, and cancer support services for you, your partner, and your child(ren) Salary sacrifice childcare and nursery scheme (via YellowNest) Employee Assistance Programme Enhanced parental leave (maternity & paternity) Professional qualification sponsorship Accelerated career progression based on readiness and performance, not tenure or time spent in role Holiday entitlement increases with tenure Flexible hours with core collaboration time Paid volunteering leave Gym & fitness discounts Bi-annual socials Office snacks and drinks Interest-based working groups to collaborate and innovate Novatus' Equal Opportunities Statement: Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.
We arebuilding the connectivity layer that powers digital payments across the world's largest wallet network - already embedded in platforms serving tens of millions of users across 120+ countries. As we scale our payments, data is becoming foundational to everything we do. This is the moment we move from MVP pipelines to production-grade architecture - and we need a senior engineer to help build it. The Role You'll design and operate the data platform behind a real-time, high-volume global payments network. Working closely with the Data Engineering Lead, you'll build event-driven pipelines, ensure data quality across critical financial workflows, and develop backend services that expose clean, reliable data across the business. What You'll Do Design and operate scalable, near real-time data pipelines across high-volume transaction flows Own data quality, monitoring, and observability for financial-grade systems Model transactional and ledger-style data - reconciliation, merchant reporting, and settlement tracking Build backend services that expose data to internal platforms and APIs Shape the platform architecture as requirements grow What You Bring 5+ years building and operating production data systems Strong SQL and Python skills with expertise in large-scale data processing Hands-on experience with modern data stack tools - Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar Experience with event-driven, real-time or near real-time architectures A first-class approach to data correctness, reliability, and monitoring Ability to own systems end-to-end in a remote, async environment Preferred: Background in fintech, payments, or financial data - reconciliation, settlement, or ledger reporting Exposure to Web3, blockchain, or on-chain data ecosystems Rust experience or willingness to learn. We are particularly interested in engineers who have cut their teeth in demanding fintech or payments ecosystems - the kind of environments where data correctness, transaction volume, and reliability are non-negotiable. You'll join at a pivotal moment - not inheriting a finished platform, but helping define one. If you're energised by building data infrastructure that genuinely matters at scale, this is your opportunity.
29/05/2026
Full time
We arebuilding the connectivity layer that powers digital payments across the world's largest wallet network - already embedded in platforms serving tens of millions of users across 120+ countries. As we scale our payments, data is becoming foundational to everything we do. This is the moment we move from MVP pipelines to production-grade architecture - and we need a senior engineer to help build it. The Role You'll design and operate the data platform behind a real-time, high-volume global payments network. Working closely with the Data Engineering Lead, you'll build event-driven pipelines, ensure data quality across critical financial workflows, and develop backend services that expose clean, reliable data across the business. What You'll Do Design and operate scalable, near real-time data pipelines across high-volume transaction flows Own data quality, monitoring, and observability for financial-grade systems Model transactional and ledger-style data - reconciliation, merchant reporting, and settlement tracking Build backend services that expose data to internal platforms and APIs Shape the platform architecture as requirements grow What You Bring 5+ years building and operating production data systems Strong SQL and Python skills with expertise in large-scale data processing Hands-on experience with modern data stack tools - Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar Experience with event-driven, real-time or near real-time architectures A first-class approach to data correctness, reliability, and monitoring Ability to own systems end-to-end in a remote, async environment Preferred: Background in fintech, payments, or financial data - reconciliation, settlement, or ledger reporting Exposure to Web3, blockchain, or on-chain data ecosystems Rust experience or willingness to learn. We are particularly interested in engineers who have cut their teeth in demanding fintech or payments ecosystems - the kind of environments where data correctness, transaction volume, and reliability are non-negotiable. You'll join at a pivotal moment - not inheriting a finished platform, but helping define one. If you're energised by building data infrastructure that genuinely matters at scale, this is your opportunity.
