About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Automation Engineer (n8n Specialist) to design, build, and maintain the workflow automation systems that power our client's operations. This is a hands on engineering role focused on executing automation requirements within sprint cycles. You will work closely with the automation lead and operations team to develop n8n workflows, system integrations, and scalable automation pipelines that support client campaigns and internal processes. Key Responsibilities n8n Workflow Development Build, test, and deploy n8n workflows that automate operational processes such as lead enrichment, signal detection, outreach sequencing, reply routing, and reporting. Maintain and optimize existing workflows by improving error handling, logging, execution speed, and scalability. Design workflows that are modular and reusable across multiple clients rather than one-off builds. Troubleshoot production issues quickly, identify root causes, and implement safeguards to prevent recurring failures. Integration & Data Flows Build and maintain integrations between operational tools including Airtable, Clay, Slack, CRM systems, outreach platforms, and custom APIs. Manage data integrity across systems through field mapping, validation logic, deduplication, and error handling. Work with webhooks, REST APIs, authentication systems, and JSON data transformations. Sprint Execution & Team Collaboration Work within Airtable-managed sprint cycles to pull tasks from the backlog, estimate effort, and deliver automation projects on schedule. Participate in daily standups, sprint planning, and retrospectives. Communicate blockers early and collaborate closely with the automation lead and operations team. Document workflows, architecture decisions, and deployment processes to ensure maintainability. Quality & Reliability Thoroughly test workflows before deployment, including edge cases, rate limits, empty datasets, and error scenarios. Monitor production automations and proactively resolve issues before they impact operations. Maintain well organized automation environments with consistent naming conventions and credential management. Required Skills Extensive n8n automation experience in production environments, building complex workflows that support real business operations. Strong understanding of workflow execution design, error handling branches, webhook triggers, and sub workflow patterns. Proven experience working with REST APIs, webhooks, JSON transformations, and authentication methods such as OAuth and API keys. Proficiency with Airtable as both a data tool and project management system (views, linked records, formulas, automations). Experience working in agile or sprint based environments with standups, planning sessions, and retrospectives. Strong remote collaboration skills using tools such as Slack and project management platforms. Ability to produce clear technical documentation for workflows, architecture, and troubleshooting. Preferred (Bonus) Skills Development experience with JavaScript or Python for custom automation logic or helper scripts. Experience integrating automation workflows with AI or LLM APIs (e.g., OpenAI, Claude). Familiarity with outbound operations tools such as Clay, HeyReach, SmartLead, HubSpot, or similar CRM systems. Strong understanding of automation architecture and system design for scalable operations. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals
26/07/2026
Full time
About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Automation Engineer (n8n Specialist) to design, build, and maintain the workflow automation systems that power our client's operations. This is a hands on engineering role focused on executing automation requirements within sprint cycles. You will work closely with the automation lead and operations team to develop n8n workflows, system integrations, and scalable automation pipelines that support client campaigns and internal processes. Key Responsibilities n8n Workflow Development Build, test, and deploy n8n workflows that automate operational processes such as lead enrichment, signal detection, outreach sequencing, reply routing, and reporting. Maintain and optimize existing workflows by improving error handling, logging, execution speed, and scalability. Design workflows that are modular and reusable across multiple clients rather than one-off builds. Troubleshoot production issues quickly, identify root causes, and implement safeguards to prevent recurring failures. Integration & Data Flows Build and maintain integrations between operational tools including Airtable, Clay, Slack, CRM systems, outreach platforms, and custom APIs. Manage data integrity across systems through field mapping, validation logic, deduplication, and error handling. Work with webhooks, REST APIs, authentication systems, and JSON data transformations. Sprint Execution & Team Collaboration Work within Airtable-managed sprint cycles to pull tasks from the backlog, estimate effort, and deliver automation projects on schedule. Participate in daily standups, sprint planning, and retrospectives. Communicate blockers early and collaborate closely with the automation lead and operations team. Document workflows, architecture decisions, and deployment processes to ensure maintainability. Quality & Reliability Thoroughly test workflows before deployment, including edge cases, rate limits, empty datasets, and error scenarios. Monitor production automations and proactively resolve issues before they impact operations. Maintain well organized automation environments with consistent naming conventions and credential management. Required Skills Extensive n8n automation experience in production environments, building complex workflows that support real business operations. Strong understanding of workflow execution design, error handling branches, webhook triggers, and sub workflow patterns. Proven experience working with REST APIs, webhooks, JSON transformations, and authentication methods such as OAuth and API keys. Proficiency with Airtable as both a data tool and project management system (views, linked records, formulas, automations). Experience working in agile or sprint based environments with standups, planning sessions, and retrospectives. Strong remote collaboration skills using tools such as Slack and project management platforms. Ability to produce clear technical documentation for workflows, architecture, and troubleshooting. Preferred (Bonus) Skills Development experience with JavaScript or Python for custom automation logic or helper scripts. Experience integrating automation workflows with AI or LLM APIs (e.g., OpenAI, Claude). Familiarity with outbound operations tools such as Clay, HeyReach, SmartLead, HubSpot, or similar CRM systems. Strong understanding of automation architecture and system design for scalable operations. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals
Full Stack Software Engineer Location: Hybrid, with a preference for candidates who can travel to our Wakefield, West Yorkshire HQ Contract: Full-time, Permanent Salary: £40,000 - £50,000 Build technology that transforms the live drinks experience Boxbar Tech creates award-winning self-service drinks technology used across stadiums, festivals, arenas and hospitality venues around the world. Our platform brings together custom hardware, Android applications, cloud services, payments and management software to help our partners serve customers faster, reduce queues and operate more efficiently. We're growing our engineering team and looking for a Full Stack Software Engineer who enjoys solving real-world problems, working across a varied technology stack and taking ownership of products from concept through to deployment. The opportunity This is a hands on role covering both frontend and backend development, with opportunities to contribute to Android applications, cloud infrastructure, hardware integrations and emerging AI projects. You'll work closely with colleagues across engineering, product, operations and customer success to design, build and improve customer facing products, internal tools and backend services. As part of a small, collaborative engineering team, you'll have plenty of autonomy and the opportunity to make a visible impact. One week you could be developing a new React feature; the next, building a backend service, integrating a payment provider or improving how we remotely manage devices deployed across major venues. This role would suit someone who enjoys variety, takes ownership of their work and wants to help shape the technology behind a growing international business. What you'll be doing Designing, developing and maintaining modern frontend applications Building and maintaining backend APIs and services Taking new product features from initial concept through to deployment Integrating third party APIs, payment providers and hardware Creating scalable, reliable and maintainable software solutions Writing clean, well tested and maintainable code Participating in code reviews and technical discussions Troubleshooting and resolving production issues Improving system performance, reliability and security Collaborating with engineering colleagues and the wider business What we're looking for You'll ideally have at least three years of commercial software development experience and a strong grounding in modern software engineering. Experience across most of the following would be particularly relevant: JavaScript and TypeScript React or another modern frontend framework Node.js backend development REST API design and development SQL databases HTML5 and CSS3 Git Object oriented programming Testing, debugging and problem solving Clear and confident communication You don't need to tick every box. Strong engineering fundamentals, curiosity and the ability to learn quickly are more important than experience with every part of our stack. It would be great if you also have experience with AWS PostgreSQL Docker AWS Lambda or other serverless technologies Firebase CI/CD pipelines GitHub Actions Android development using Kotlin or Java Python Infrastructure as Code Linux OAuth, JWT and application security WebSockets or real time applications Payment integrations Microservices What you could work on Our engineering challenges are varied and closely connected to products operating in live, real world environments. Projects may include: AI powered data analysis Android kiosk software Cloud APIs and backend platforms Real time data processing Payment provider integrations Hardware and device integrations Remote device management Internal operational tools Performance, security and reliability improvements Our current technology stack Our technology ecosystem currently includes: React TypeScript Node.js AWS PostgreSQL Firebase Docker GitHub Actions REST APIs Kotlin Java You won't need experience with everything on this list. We value strong software engineering fundamentals and a willingness to broaden your skills. About you You'll enjoy this role if you: Like solving challenging technical problems Take ownership rather than waiting to be directed Can work independently while collaborating effectively Care about writing clean, maintainable and well tested code Take a pragmatic approach to software development Enjoy learning new technologies Communicate clearly with technical and non technical colleagues Are comfortable working in a fast moving scale up Want your work to have a clear and visible impact Why join Boxbar? You'll be joining a growing technology business where software connects directly with physical products used in some of the world's most exciting live environments. You'll have autonomy, technical variety and the opportunity to influence how our products and platforms evolve as we continue to scale internationally. This is an opportunity to work across the stack, take meaningful ownership and build technology that solves genuine operational and customer problems. Our interview process Our process is designed to be straightforward, practical and relevant to the role. 1. Initial conversation with our People Team An introductory conversation covering your motivation, relevant experience, communication style and practical details such as location, availability and salary expectations. 2. Technical assessment A practical assessment designed to understand how you approach software engineering, technical decision making and problem solving. 3. Final interview A final conversation focused on how you take ownership, collaborate with others and approach real world technical challenges within a growing business. Equality, diversity and inclusion Boxbar Tech is committed to creating an inclusive workplace where everyone is treated fairly, respected and able to do their best work. We welcome applications from people of all backgrounds and do not discriminate on the basis of age, disability, gender identity or reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, sexual orientation or any other protected characteristic. We're interested in your potential, experience and approach. Even where you don't meet every requirement listed, we encourage you to apply where you believe you could make a strong contribution to Boxbar. We're also happy to discuss reasonable adjustments at any stage of the recruitment process.
25/07/2026
Full time
Full Stack Software Engineer Location: Hybrid, with a preference for candidates who can travel to our Wakefield, West Yorkshire HQ Contract: Full-time, Permanent Salary: £40,000 - £50,000 Build technology that transforms the live drinks experience Boxbar Tech creates award-winning self-service drinks technology used across stadiums, festivals, arenas and hospitality venues around the world. Our platform brings together custom hardware, Android applications, cloud services, payments and management software to help our partners serve customers faster, reduce queues and operate more efficiently. We're growing our engineering team and looking for a Full Stack Software Engineer who enjoys solving real-world problems, working across a varied technology stack and taking ownership of products from concept through to deployment. The opportunity This is a hands on role covering both frontend and backend development, with opportunities to contribute to Android applications, cloud infrastructure, hardware integrations and emerging AI projects. You'll work closely with colleagues across engineering, product, operations and customer success to design, build and improve customer facing products, internal tools and backend services. As part of a small, collaborative engineering team, you'll have plenty of autonomy and the opportunity to make a visible impact. One week you could be developing a new React feature; the next, building a backend service, integrating a payment provider or improving how we remotely manage devices deployed across major venues. This role would suit someone who enjoys variety, takes ownership of their work and wants to help shape the technology behind a growing international business. What you'll be doing Designing, developing and maintaining modern frontend applications Building and maintaining backend APIs and services Taking new product features from initial concept through to deployment Integrating third party APIs, payment providers and hardware Creating scalable, reliable and maintainable software solutions Writing clean, well tested and maintainable code Participating in code reviews and technical discussions Troubleshooting and resolving production issues Improving system performance, reliability and security Collaborating with engineering colleagues and the wider business What we're looking for You'll ideally have at least three years of commercial software development experience and a strong grounding in modern software engineering. Experience across most of the following would be particularly relevant: JavaScript and TypeScript React or another modern frontend framework Node.js backend development REST API design and development SQL databases HTML5 and CSS3 Git Object oriented programming Testing, debugging and problem solving Clear and confident communication You don't need to tick every box. Strong engineering fundamentals, curiosity and the ability to learn quickly are more important than experience with every part of our stack. It would be great if you also have experience with AWS PostgreSQL Docker AWS Lambda or other serverless technologies Firebase CI/CD pipelines GitHub Actions Android development using Kotlin or Java Python Infrastructure as Code Linux OAuth, JWT and application security WebSockets or real time applications Payment integrations Microservices What you could work on Our engineering challenges are varied and closely connected to products operating in live, real world environments. Projects may include: AI powered data analysis Android kiosk software Cloud APIs and backend platforms Real time data processing Payment provider integrations Hardware and device integrations Remote device management Internal operational tools Performance, security and reliability improvements Our current technology stack Our technology ecosystem currently includes: React TypeScript Node.js AWS PostgreSQL Firebase Docker GitHub Actions REST APIs Kotlin Java You won't need experience with everything on this list. We value strong software engineering fundamentals and a willingness to broaden your skills. About you You'll enjoy this role if you: Like solving challenging technical problems Take ownership rather than waiting to be directed Can work independently while collaborating effectively Care about writing clean, maintainable and well tested code Take a pragmatic approach to software development Enjoy learning new technologies Communicate clearly with technical and non technical colleagues Are comfortable working in a fast moving scale up Want your work to have a clear and visible impact Why join Boxbar? You'll be joining a growing technology business where software connects directly with physical products used in some of the world's most exciting live environments. You'll have autonomy, technical variety and the opportunity to influence how our products and platforms evolve as we continue to scale internationally. This is an opportunity to work across the stack, take meaningful ownership and build technology that solves genuine operational and customer problems. Our interview process Our process is designed to be straightforward, practical and relevant to the role. 1. Initial conversation with our People Team An introductory conversation covering your motivation, relevant experience, communication style and practical details such as location, availability and salary expectations. 2. Technical assessment A practical assessment designed to understand how you approach software engineering, technical decision making and problem solving. 3. Final interview A final conversation focused on how you take ownership, collaborate with others and approach real world technical challenges within a growing business. Equality, diversity and inclusion Boxbar Tech is committed to creating an inclusive workplace where everyone is treated fairly, respected and able to do their best work. We welcome applications from people of all backgrounds and do not discriminate on the basis of age, disability, gender identity or reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, sexual orientation or any other protected characteristic. We're interested in your potential, experience and approach. Even where you don't meet every requirement listed, we encourage you to apply where you believe you could make a strong contribution to Boxbar. We're also happy to discuss reasonable adjustments at any stage of the recruitment process.
Senior Automation Engineer Location: Glenrothes, Fife or Livingston Contract: 12 month fixed term full time (37hrs/week) Responsibilities System Design & Development: Create and optimise automated systems, including robotics, PLCs, and SCADA systems for manufacturing and testing. Process optimisation: Lead cradle to grave projects (from bid to commissioning) to improve safety, cycle time and cost through automation. Process automation: Develop workflows and tooling to automate routine operational tasks, ensuring they are consistent, repeatable and scalable. Programming & controls: Develop and optimise programs for PLCs (Siemens S7, Allen Bradley), industrial robots (Fanuc, ABB, Kuka) and HMI/SCADA systems. Infrastructure management: Provision and optimise infrastructure, often utilising Infrastructure as Code (IaC) tools like Terraform and Ansible. Testing & validation: Lead commissioning of robotic cells and assembly systems; perform first article inspection (FAI) and ensure compliance with safety standards i.e. ISO 9001 or AS9100. Observability & support: Maintain platform observability and respond to incidents through root cause analysis (RCA) to improve service efficiency. System integration: Design and implement interfaces between MES (e.g. Werum PAS X, Rockwell Pharmasuite), ERP systems (like SAP S/4HANA) and shop floor automation such as PLC/SCADA systems. Recipe & workflow design: Author and test electronic batch records (EBR) and manufacturing recipes following ISA 95/ISA 88 standards to ensure efficient production. Data management: Develop data pipelines and dashboards for real time monitoring of key performance indicators (KPIs) such as yield, cycle time and OEE. Qualifications you must have Education: A bachelor's degree in engineering (mechanical, electrical, aerospace or controls). Experience: Solid experience in a manufacturing environment, ideally within highly regulated sectors (life sciences, aerospace & defence, FMCG). MES platforms: Experience with systems such as Emerson Syncade, Siemens Opcenter or Apriso. Industrial automation tools: Hands on experience with Siemens S7/TIA Portal, FANUC. Qualifications we prefer Programming & scripting: Proficiency in Python, Java or C++, plus scripting in PowerShell or Bash and SQL (for database queries), VB Script, XML or Java. Industrial networks: Knowledge of OPC UA, Ethernet/IP and database administration. What we offer Competitive salaries. 25 days holiday + statutory public holidays, plus the opportunity to buy and sell up to 5 days (37hr). Contributory pension scheme (up to 10.5% company contribution). Company bonus scheme (discretionary). Six times salary 'life assurance' with pension. Flexible benefits scheme with extensive salary sacrifice schemes, including health cash plan, dental, and cycle to work among others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity and shared parental leave. Work culture 37 hour working week, although hours may vary depending on role, job requirement or site specific arrangements. Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year. For this role the successful hire will need to be a permanent UK resident and successfully complete a baseline (BPSS) security and background check. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, colour, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Privacy Policy and Terms: Click on this link to read the Policy and Terms.
25/07/2026
Full time
Senior Automation Engineer Location: Glenrothes, Fife or Livingston Contract: 12 month fixed term full time (37hrs/week) Responsibilities System Design & Development: Create and optimise automated systems, including robotics, PLCs, and SCADA systems for manufacturing and testing. Process optimisation: Lead cradle to grave projects (from bid to commissioning) to improve safety, cycle time and cost through automation. Process automation: Develop workflows and tooling to automate routine operational tasks, ensuring they are consistent, repeatable and scalable. Programming & controls: Develop and optimise programs for PLCs (Siemens S7, Allen Bradley), industrial robots (Fanuc, ABB, Kuka) and HMI/SCADA systems. Infrastructure management: Provision and optimise infrastructure, often utilising Infrastructure as Code (IaC) tools like Terraform and Ansible. Testing & validation: Lead commissioning of robotic cells and assembly systems; perform first article inspection (FAI) and ensure compliance with safety standards i.e. ISO 9001 or AS9100. Observability & support: Maintain platform observability and respond to incidents through root cause analysis (RCA) to improve service efficiency. System integration: Design and implement interfaces between MES (e.g. Werum PAS X, Rockwell Pharmasuite), ERP systems (like SAP S/4HANA) and shop floor automation such as PLC/SCADA systems. Recipe & workflow design: Author and test electronic batch records (EBR) and manufacturing recipes following ISA 95/ISA 88 standards to ensure efficient production. Data management: Develop data pipelines and dashboards for real time monitoring of key performance indicators (KPIs) such as yield, cycle time and OEE. Qualifications you must have Education: A bachelor's degree in engineering (mechanical, electrical, aerospace or controls). Experience: Solid experience in a manufacturing environment, ideally within highly regulated sectors (life sciences, aerospace & defence, FMCG). MES platforms: Experience with systems such as Emerson Syncade, Siemens Opcenter or Apriso. Industrial automation tools: Hands on experience with Siemens S7/TIA Portal, FANUC. Qualifications we prefer Programming & scripting: Proficiency in Python, Java or C++, plus scripting in PowerShell or Bash and SQL (for database queries), VB Script, XML or Java. Industrial networks: Knowledge of OPC UA, Ethernet/IP and database administration. What we offer Competitive salaries. 25 days holiday + statutory public holidays, plus the opportunity to buy and sell up to 5 days (37hr). Contributory pension scheme (up to 10.5% company contribution). Company bonus scheme (discretionary). Six times salary 'life assurance' with pension. Flexible benefits scheme with extensive salary sacrifice schemes, including health cash plan, dental, and cycle to work among others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity and shared parental leave. Work culture 37 hour working week, although hours may vary depending on role, job requirement or site specific arrangements. Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year. For this role the successful hire will need to be a permanent UK resident and successfully complete a baseline (BPSS) security and background check. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, colour, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Privacy Policy and Terms: Click on this link to read the Policy and Terms.
Strolll exists to give people a new reality; that inspires them to believe in limitless human potential to overcome their most difficult rehabilitation challenges. Strolll is transforming the world of rehabilitation and physical therapy with its state-of-the-art software platform for augmented reality (AR) glasses; with a focus on individuals living with neurological disorders, such as Parkinson's disease, stroke and MS. Become the most used rehabilitation software in the world. Key Result: 7 million weekly rehab minutes by NYE 2029. About the Role As a Senior Data Scientist - Data & AI at Strolll, you will play a crucial role in understanding our Strolll Augmented Reality (AR) software solution application derived data including assessment and game metrics, device telemetry data. Your mission is to realise cutting-edge data that will make Strolll the most used rehabilitation software in the world. You will be an integral part of our Data & AI team, working closely with our immediate team of engineers focused on health algorithms and assessments, as well as the broader AR platform engineering, design, and Quality Assurance, clinical, and science teams. Our AR solution is multi-user and requires a physical space, therefore play-tests and feature evaluation requires a controlled physical environment. This role can be hybrid with a portion of your time working onsite in our dedicated office space, with the remainder from home, or fully remote for qualified candidates. You will need to be able travel to the company HQ in Stafford, UK regularly. This role reports to the VP - Data & AI. Key Responsibilities Advanced Data Analytics Expertise: Leverage deep experience with an analytics stack - such as Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Azure Machine Learning - to design and implement scalable, secure, and cost-effective analytical solutions. Drive insight generation and decision-making through cloud-native data science workflows. Fluency in Python, SQL & Spark for Analytics: Expert in Python, SQL, and Spark with a strong foundation in statistical modelling, data wrangling, and algorithmic thinking. Apply these tools to build reproducible analytics pipelines, conduct exploratory data analysis (EDA), and develop predictive models that inform clinical, scientific, and operational decisions. Insight-Driven Problem Solver: Thrive on solving complex analytical challenges - from hypothesis generation and data exploration to statistical inference and model deployment. Architect robust solutions that support clinical research, operational intelligence, and product innovation. Applied Statistical Modelling & Experimentation: Design and execute rigorous statistical analyses, A/B tests, and causal inference studies. Translate complex data into actionable insights using techniques such as regression, classification, time series forecasting, and Bayesian modelling. Build Analytical Data Products: Deliver high-quality, production-grade analytical outputs - including dashboards, curated datasets, and model-driven insights - that power clinical decision-making, product development, and strategic planning. Ensure outputs are interpretable, reproducible, and aligned with stakeholder needs. Version Control & Collaborative Development: Proficient in Git and Azure DevOps for collaborative analytics development. Comfortable with peer review workflows, CI/CD pipelines, and automated testing of analytical code using tools like pytest, Great Expectations, and dbt. Ensure Data Integrity & Analytical Quality: Strong skills in debugging data issues and validating analytical outputs. Use data observability tools and statistical diagnostics to ensure accuracy, reliability, and reproducibility across the analytics lifecycle. Optimize for Performance & Impact: Analyze and optimize analytical workflows for efficiency, scalability, and stakeholder impact. Tune Spark jobs, optimize SQL queries, and streamline model training and inference in Azure environments. Cross-Functional Collaboration: Partner with clinical, scientific, product, and engineering teams to understand domain-specific challenges and translate them into data science solutions. Collaborate with ML engineers and data engineers to ensure data readiness and model deployment. Contribute to patents and publications where applicable. Growth & Thought Leadership: Continuously expand expertise in data science, cloud-native analytics, and responsible AI. Share knowledge through mentorship, internal talks, and contributions to technical reviews and research efforts. Qualifications & Skills Required: As a Senior Data Scientist at Strolll we're looking for a candidate with proven, demonstrable experience from previous roles, having: MS or higher in Computer Science, Data Science or commensurate training and experience. Solid understanding of core programming and data engineering principles, including data types, data structures, algorithms, distributed systems, and cloud-native data architecture. Familiarity with machine/deep learning pipelines, wearable sensing data, and healthcare SaaS platforms - ideally within neurorehabilitation or adjacent clinical domains. 5+ years of experience in Data Science roles, with a strong track record of building and maintaining production-grade data pipelines, services, and platforms - preferably using SQL, R or Python and Azure technologies such as Azure Data Factory, Azure Synapse, Azure Databricks, and Azure Event Hubs. Experience building, deploying, and supporting commercial-grade data analytics - including curated datasets, real-time data services, and analytics platforms - targeted at clinical assessments, scientific research, and patient-facing applications, across the full product lifecycle. Prior experience with streaming data architectures and real-time analytics using Azure stream Analytics, Kafka, or similar technologies. Experience working with clinically deployed applications, clinical research datasets, and regulatory-compliant data workflows (e.g., HIPAA, GDPR). Familiarity with data-centric AI, feature engineering, and ML model deployment in Azure ML or Databricks environments. Familiarity with deployment of SaaS tools in clinical health and rehabilitation or related fields. The pay range for this role is: 65,000 - 70,000 GBP per year (Strolll HQ)
25/07/2026
Full time
Strolll exists to give people a new reality; that inspires them to believe in limitless human potential to overcome their most difficult rehabilitation challenges. Strolll is transforming the world of rehabilitation and physical therapy with its state-of-the-art software platform for augmented reality (AR) glasses; with a focus on individuals living with neurological disorders, such as Parkinson's disease, stroke and MS. Become the most used rehabilitation software in the world. Key Result: 7 million weekly rehab minutes by NYE 2029. About the Role As a Senior Data Scientist - Data & AI at Strolll, you will play a crucial role in understanding our Strolll Augmented Reality (AR) software solution application derived data including assessment and game metrics, device telemetry data. Your mission is to realise cutting-edge data that will make Strolll the most used rehabilitation software in the world. You will be an integral part of our Data & AI team, working closely with our immediate team of engineers focused on health algorithms and assessments, as well as the broader AR platform engineering, design, and Quality Assurance, clinical, and science teams. Our AR solution is multi-user and requires a physical space, therefore play-tests and feature evaluation requires a controlled physical environment. This role can be hybrid with a portion of your time working onsite in our dedicated office space, with the remainder from home, or fully remote for qualified candidates. You will need to be able travel to the company HQ in Stafford, UK regularly. This role reports to the VP - Data & AI. Key Responsibilities Advanced Data Analytics Expertise: Leverage deep experience with an analytics stack - such as Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Azure Machine Learning - to design and implement scalable, secure, and cost-effective analytical solutions. Drive insight generation and decision-making through cloud-native data science workflows. Fluency in Python, SQL & Spark for Analytics: Expert in Python, SQL, and Spark with a strong foundation in statistical modelling, data wrangling, and algorithmic thinking. Apply these tools to build reproducible analytics pipelines, conduct exploratory data analysis (EDA), and develop predictive models that inform clinical, scientific, and operational decisions. Insight-Driven Problem Solver: Thrive on solving complex analytical challenges - from hypothesis generation and data exploration to statistical inference and model deployment. Architect robust solutions that support clinical research, operational intelligence, and product innovation. Applied Statistical Modelling & Experimentation: Design and execute rigorous statistical analyses, A/B tests, and causal inference studies. Translate complex data into actionable insights using techniques such as regression, classification, time series forecasting, and Bayesian modelling. Build Analytical Data Products: Deliver high-quality, production-grade analytical outputs - including dashboards, curated datasets, and model-driven insights - that power clinical decision-making, product development, and strategic planning. Ensure outputs are interpretable, reproducible, and aligned with stakeholder needs. Version Control & Collaborative Development: Proficient in Git and Azure DevOps for collaborative analytics development. Comfortable with peer review workflows, CI/CD pipelines, and automated testing of analytical code using tools like pytest, Great Expectations, and dbt. Ensure Data Integrity & Analytical Quality: Strong skills in debugging data issues and validating analytical outputs. Use data observability tools and statistical diagnostics to ensure accuracy, reliability, and reproducibility across the analytics lifecycle. Optimize for Performance & Impact: Analyze and optimize analytical workflows for efficiency, scalability, and stakeholder impact. Tune Spark jobs, optimize SQL queries, and streamline model training and inference in Azure environments. Cross-Functional Collaboration: Partner with clinical, scientific, product, and engineering teams to understand domain-specific challenges and translate them into data science solutions. Collaborate with ML engineers and data engineers to ensure data readiness and model deployment. Contribute to patents and publications where applicable. Growth & Thought Leadership: Continuously expand expertise in data science, cloud-native analytics, and responsible AI. Share knowledge through mentorship, internal talks, and contributions to technical reviews and research efforts. Qualifications & Skills Required: As a Senior Data Scientist at Strolll we're looking for a candidate with proven, demonstrable experience from previous roles, having: MS or higher in Computer Science, Data Science or commensurate training and experience. Solid understanding of core programming and data engineering principles, including data types, data structures, algorithms, distributed systems, and cloud-native data architecture. Familiarity with machine/deep learning pipelines, wearable sensing data, and healthcare SaaS platforms - ideally within neurorehabilitation or adjacent clinical domains. 5+ years of experience in Data Science roles, with a strong track record of building and maintaining production-grade data pipelines, services, and platforms - preferably using SQL, R or Python and Azure technologies such as Azure Data Factory, Azure Synapse, Azure Databricks, and Azure Event Hubs. Experience building, deploying, and supporting commercial-grade data analytics - including curated datasets, real-time data services, and analytics platforms - targeted at clinical assessments, scientific research, and patient-facing applications, across the full product lifecycle. Prior experience with streaming data architectures and real-time analytics using Azure stream Analytics, Kafka, or similar technologies. Experience working with clinically deployed applications, clinical research datasets, and regulatory-compliant data workflows (e.g., HIPAA, GDPR). Familiarity with data-centric AI, feature engineering, and ML model deployment in Azure ML or Databricks environments. Familiarity with deployment of SaaS tools in clinical health and rehabilitation or related fields. The pay range for this role is: 65,000 - 70,000 GBP per year (Strolll HQ)
We're looking for a Senior GCP Cloud & DevOps Engineer to join our team in Bradford on a 12-month FTC. This is a hybrid role, with two days in the office and three days working remotely each week. Responsibilities Own and evolve the end-to-end GCP platform, covering infrastructure design, deployment, lifecycle management, and ongoing optimisation. Design, build, and maintain scalable, secure cloud infrastructure to support AI and data products. Implement and manage CI/CD pipelines to enable fast, reliable, and consistent product delivery. Drive platform reliability and performance through strong observability, monitoring, and AIOps practices. Ensure platform security, governance, and compliance, working closely with central Security and adhering to best practices. Optimise cloud spend and resource usage, balancing cost efficiency with performance and scalability. Collaborate closely with engineering, data, and product teams to enable rapid development and innovation. Create and maintain clear, high-quality documentation across platforms, services, and data products. Define, track, and improve key platform KPIs such as availability, deployment frequency, MTTR, and security posture. Support incident management, troubleshooting, and continuous improvement of platform operations. Essential Qualifications Proven experience working in high-performing Platform / DevOps teams. Strong hands on experience with Google Cloud Platform (GCP). Solid background in DevOps or Platform Engineering, building scalable, automated infrastructure. Expertise in CI/CD design and implementation (e.g., GitHub Actions, Terraform, Cloud Build). Experience supporting AI driven applications, microservices, and API led architectures. Strong troubleshooting and debugging skills using logs, tracing, and observability tools. Good understanding of cloud networking, security principles, IAM, and VPC design. Ability to operate effectively in fast paced, product led environments with multiple stakeholders. Desirable Qualifications GCP Professional level certification. Experience working with offshore teams or third party delivery partners. Exposure to AIOps practices and advanced observability tooling (e.g., OpenTelemetry). Experience implementing cloud governance and security frameworks at scale. Strong awareness of cost optimisation strategies within GCP environments. Benefits Competitive salary + bonus. 25 days annual leave, with the option to purchase 5 more. Enjoy your birthday off, plus an additional 3 days of annual leave after 5 years of service. Wellbeing and mental health benefits such as the Calm app, personal medical, critical illness cover and dental insurance. Matched pension contribution up to 10%. Car benefit scheme. Online learning platform for continuous career development. Equal Opportunity Statement Liberty Global is an equal opportunity employer, committed to an inclusive environment and accommodating all candidates.
25/07/2026
Full time
We're looking for a Senior GCP Cloud & DevOps Engineer to join our team in Bradford on a 12-month FTC. This is a hybrid role, with two days in the office and three days working remotely each week. Responsibilities Own and evolve the end-to-end GCP platform, covering infrastructure design, deployment, lifecycle management, and ongoing optimisation. Design, build, and maintain scalable, secure cloud infrastructure to support AI and data products. Implement and manage CI/CD pipelines to enable fast, reliable, and consistent product delivery. Drive platform reliability and performance through strong observability, monitoring, and AIOps practices. Ensure platform security, governance, and compliance, working closely with central Security and adhering to best practices. Optimise cloud spend and resource usage, balancing cost efficiency with performance and scalability. Collaborate closely with engineering, data, and product teams to enable rapid development and innovation. Create and maintain clear, high-quality documentation across platforms, services, and data products. Define, track, and improve key platform KPIs such as availability, deployment frequency, MTTR, and security posture. Support incident management, troubleshooting, and continuous improvement of platform operations. Essential Qualifications Proven experience working in high-performing Platform / DevOps teams. Strong hands on experience with Google Cloud Platform (GCP). Solid background in DevOps or Platform Engineering, building scalable, automated infrastructure. Expertise in CI/CD design and implementation (e.g., GitHub Actions, Terraform, Cloud Build). Experience supporting AI driven applications, microservices, and API led architectures. Strong troubleshooting and debugging skills using logs, tracing, and observability tools. Good understanding of cloud networking, security principles, IAM, and VPC design. Ability to operate effectively in fast paced, product led environments with multiple stakeholders. Desirable Qualifications GCP Professional level certification. Experience working with offshore teams or third party delivery partners. Exposure to AIOps practices and advanced observability tooling (e.g., OpenTelemetry). Experience implementing cloud governance and security frameworks at scale. Strong awareness of cost optimisation strategies within GCP environments. Benefits Competitive salary + bonus. 25 days annual leave, with the option to purchase 5 more. Enjoy your birthday off, plus an additional 3 days of annual leave after 5 years of service. Wellbeing and mental health benefits such as the Calm app, personal medical, critical illness cover and dental insurance. Matched pension contribution up to 10%. Car benefit scheme. Online learning platform for continuous career development. Equal Opportunity Statement Liberty Global is an equal opportunity employer, committed to an inclusive environment and accommodating all candidates.
This is not a live vacancy. We are building a talent pipeline ahead of anticipated demand and are keen to connect with strong Senior and Lead Cloud Platform Engineers for future opportunities. Role Overview We are seeking an experienced Cloud Platform Engineer to join our platform engineering team. This is a hands on role focused on designing, building, operating, and continuously improving cloud native platforms that enable development teams to deliver reliable, scalable, and secure applications. The successful candidate will combine deep expertise in Kubernetes, cloud infrastructure, automation, and DevOps practices with a strong operational mindset. They will be responsible for maintaining the health and evolution of containerised workloads, enhancing developer experience, and driving improvements across infrastructure, deployment pipelines, and platform services. At the Lead level, this role also combines hands on expertise with team leadership, stakeholder engagement, and delivery planning. The right candidate can operate credibly at an engineering level while also communicating clearly with business and technical stakeholders, translating platform priorities into a coherent roadmap and ensuring the team has the clarity and support needed to deliver effectively. This role requires a proactive engineer who can work independently, collaborate effectively across teams, and contribute to the ongoing maturity of modern cloud platforms. Key Responsibilities Own and support the operational health, reliability, scalability, and performance of Kubernetes based platforms and containerised workloads Manage and evolve Kubernetes environments, including workload deployment, configuration management, cluster operations, and platform upgrades Drive and maintain GitOps practices to ensure consistent, automated, and auditable infrastructure and application deployments Build, maintain, and improve infrastructure as code solutions to support scalable, repeatable, and secure cloud environments Develop and enhance CI/CD pipelines to streamline software delivery, improve deployment reliability, and reduce operational overhead Manage and optimise cloud native and managed platform services, including capacity planning, performance tuning, cost optimisation, patching, and lifecycle management Partner with software engineering teams to support application deployment, troubleshooting, observability, and platform adoption Monitor platform health and respond to incidents, conducting root cause analysis and implementing preventative improvements Identify technical debt and contribute to platform roadmaps focused on operational excellence, security, automation, and developer productivity Champion best practices in cloud architecture, security, reliability, automation, and platform engineering Participate in on call support and incident management activities as required, including for the EKS platform Additional Key Responsibilities for the Lead Own the platform engineering roadmap, working with business and technical stakeholders to prioritise initiatives, surface risks, and align delivery against wider programme goals Lead and mentor a team of platform engineers, providing technical guidance, supporting growth, and maintaining quality and consistency across the team's output Act as the primary technical point of contact for platform related matters across engineering, product, and operations teams Translate platform priorities into clear, actionable plans, ensuring the team understands objectives, dependencies, and delivery timelines Contribute to resourcing, planning, and prioritisation discussions, balancing technical debt, reliability, and new feature delivery Provide regular updates on roadmap progress, risks, and dependencies to relevant stakeholders and leadership Skills & Experience Strong experience operating Kubernetes in production environments, including cluster administration, workload management, networking, security, and performance optimisation Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, with a strong understanding of managed cloud services Hands on experience with GitOps methodologies and related tooling Experience with infrastructure as code tools such as Terraform Strong understanding of CI/CD principles and experience building and maintaining automated delivery pipelines Experience working with container technologies and cloud native architectures Knowledge of observability, monitoring, logging, and incident management practices Strong troubleshooting and problem solving skills across infrastructure, platform, and application layers Experience supporting software development teams in deploying and operating distributed applications Ability to work independently while collaborating effectively with cross functional teams Betting and gaming domain knowledge required Additional Essential Skills for the Lead Demonstrated experience leading or mentoring engineers, with the ability to balance technical leadership with people development Strong stakeholder management skills, with the ability to translate business priorities into technical roadmaps and vice versa Excellent communication skills, comfortable operating across both technical and non technical audiences Experience with Amazon EKS or other managed Kubernetes platforms Familiarity with Flux, Argo CD, Helm, and Kustomize Experience supporting managed data and messaging platforms such as RDS, Kafka, or equivalent services Knowledge of application runtimes and services built using Java, Kotlin, Python, or similar technologies Experience implementing cloud security controls, governance, and compliance requirements Exposure to site reliability engineering (SRE) practices and platform engineering frameworks What we'll offer you: We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.
25/07/2026
Full time
This is not a live vacancy. We are building a talent pipeline ahead of anticipated demand and are keen to connect with strong Senior and Lead Cloud Platform Engineers for future opportunities. Role Overview We are seeking an experienced Cloud Platform Engineer to join our platform engineering team. This is a hands on role focused on designing, building, operating, and continuously improving cloud native platforms that enable development teams to deliver reliable, scalable, and secure applications. The successful candidate will combine deep expertise in Kubernetes, cloud infrastructure, automation, and DevOps practices with a strong operational mindset. They will be responsible for maintaining the health and evolution of containerised workloads, enhancing developer experience, and driving improvements across infrastructure, deployment pipelines, and platform services. At the Lead level, this role also combines hands on expertise with team leadership, stakeholder engagement, and delivery planning. The right candidate can operate credibly at an engineering level while also communicating clearly with business and technical stakeholders, translating platform priorities into a coherent roadmap and ensuring the team has the clarity and support needed to deliver effectively. This role requires a proactive engineer who can work independently, collaborate effectively across teams, and contribute to the ongoing maturity of modern cloud platforms. Key Responsibilities Own and support the operational health, reliability, scalability, and performance of Kubernetes based platforms and containerised workloads Manage and evolve Kubernetes environments, including workload deployment, configuration management, cluster operations, and platform upgrades Drive and maintain GitOps practices to ensure consistent, automated, and auditable infrastructure and application deployments Build, maintain, and improve infrastructure as code solutions to support scalable, repeatable, and secure cloud environments Develop and enhance CI/CD pipelines to streamline software delivery, improve deployment reliability, and reduce operational overhead Manage and optimise cloud native and managed platform services, including capacity planning, performance tuning, cost optimisation, patching, and lifecycle management Partner with software engineering teams to support application deployment, troubleshooting, observability, and platform adoption Monitor platform health and respond to incidents, conducting root cause analysis and implementing preventative improvements Identify technical debt and contribute to platform roadmaps focused on operational excellence, security, automation, and developer productivity Champion best practices in cloud architecture, security, reliability, automation, and platform engineering Participate in on call support and incident management activities as required, including for the EKS platform Additional Key Responsibilities for the Lead Own the platform engineering roadmap, working with business and technical stakeholders to prioritise initiatives, surface risks, and align delivery against wider programme goals Lead and mentor a team of platform engineers, providing technical guidance, supporting growth, and maintaining quality and consistency across the team's output Act as the primary technical point of contact for platform related matters across engineering, product, and operations teams Translate platform priorities into clear, actionable plans, ensuring the team understands objectives, dependencies, and delivery timelines Contribute to resourcing, planning, and prioritisation discussions, balancing technical debt, reliability, and new feature delivery Provide regular updates on roadmap progress, risks, and dependencies to relevant stakeholders and leadership Skills & Experience Strong experience operating Kubernetes in production environments, including cluster administration, workload management, networking, security, and performance optimisation Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, with a strong understanding of managed cloud services Hands on experience with GitOps methodologies and related tooling Experience with infrastructure as code tools such as Terraform Strong understanding of CI/CD principles and experience building and maintaining automated delivery pipelines Experience working with container technologies and cloud native architectures Knowledge of observability, monitoring, logging, and incident management practices Strong troubleshooting and problem solving skills across infrastructure, platform, and application layers Experience supporting software development teams in deploying and operating distributed applications Ability to work independently while collaborating effectively with cross functional teams Betting and gaming domain knowledge required Additional Essential Skills for the Lead Demonstrated experience leading or mentoring engineers, with the ability to balance technical leadership with people development Strong stakeholder management skills, with the ability to translate business priorities into technical roadmaps and vice versa Excellent communication skills, comfortable operating across both technical and non technical audiences Experience with Amazon EKS or other managed Kubernetes platforms Familiarity with Flux, Argo CD, Helm, and Kustomize Experience supporting managed data and messaging platforms such as RDS, Kafka, or equivalent services Knowledge of application runtimes and services built using Java, Kotlin, Python, or similar technologies Experience implementing cloud security controls, governance, and compliance requirements Exposure to site reliability engineering (SRE) practices and platform engineering frameworks What we'll offer you: We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.
This is not a live vacancy. We are building a talent pipeline ahead of anticipated demand and are keen to connect with strong Senior and Lead Cloud Platform Engineers for future opportunities. Role Overview We are seeking an experienced Cloud Platform Engineer to join our platform engineering team. This is a hands on role focused on designing, building, operating, and continuously improving cloud native platforms that enable development teams to deliver reliable, scalable, and secure applications. The successful candidate will combine deep expertise in Kubernetes, cloud infrastructure, automation, and DevOps practices with a strong operational mindset. They will be responsible for maintaining the health and evolution of containerised workloads, enhancing developer experience, and driving improvements across infrastructure, deployment pipelines, and platform services. At the Lead level, this role also combines hands on expertise with team leadership, stakeholder engagement, and delivery planning. The right candidate can operate credibly at an engineering level while also communicating clearly with business and technical stakeholders, translating platform priorities into a coherent roadmap and ensuring the team has the clarity and support needed to deliver effectively. This role requires a proactive engineer who can work independently, collaborate effectively across teams, and contribute to the ongoing maturity of modern cloud platforms. Key Responsibilities Own and support the operational health, reliability, scalability, and performance of Kubernetes based platforms and containerised workloads Manage and evolve Kubernetes environments, including workload deployment, configuration management, cluster operations, and platform upgrades Drive and maintain GitOps practices to ensure consistent, automated, and auditable infrastructure and application deployments Build, maintain, and improve infrastructure as code solutions to support scalable, repeatable, and secure cloud environments Develop and enhance CI/CD pipelines to streamline software delivery, improve deployment reliability, and reduce operational overhead Manage and optimise cloud native and managed platform services, including capacity planning, performance tuning, cost optimisation, patching, and lifecycle management Partner with software engineering teams to support application deployment, troubleshooting, observability, and platform adoption Monitor platform health and respond to incidents, conducting root cause analysis and implementing preventative improvements Identify technical debt and contribute to platform roadmaps focused on operational excellence, security, automation, and developer productivity Champion best practices in cloud architecture, security, reliability, automation, and platform engineering Participate in on call support and incident management activities as required, including for the EKS platform Additional Key Responsibilities for the Lead Own the platform engineering roadmap, working with business and technical stakeholders to prioritise initiatives, surface risks, and align delivery against wider programme goals Lead and mentor a team of platform engineers, providing technical guidance, supporting growth, and maintaining quality and consistency across the team's output Act as the primary technical point of contact for platform related matters across engineering, product, and operations teams Translate platform priorities into clear, actionable plans, ensuring the team understands objectives, dependencies, and delivery timelines Contribute to resourcing, planning, and prioritisation discussions, balancing technical debt, reliability, and new feature delivery Provide regular updates on roadmap progress, risks, and dependencies to relevant stakeholders and leadership Skills & Experience Strong experience operating Kubernetes in production environments, including cluster administration, workload management, networking, security, and performance optimisation Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, with a strong understanding of managed cloud services Hands on experience with GitOps methodologies and related tooling Experience with infrastructure as code tools such as Terraform Strong understanding of CI/CD principles and experience building and maintaining automated delivery pipelines Experience working with container technologies and cloud native architectures Knowledge of observability, monitoring, logging, and incident management practices Strong troubleshooting and problem solving skills across infrastructure, platform, and application layers Experience supporting software development teams in deploying and operating distributed applications Ability to work independently while collaborating effectively with cross functional teams Betting and gaming domain knowledge required Additional Essential Skills for the Lead Demonstrated experience leading or mentoring engineers, with the ability to balance technical leadership with people development Strong stakeholder management skills, with the ability to translate business priorities into technical roadmaps and vice versa Excellent communication skills, comfortable operating across both technical and non technical audiences Experience with Amazon EKS or other managed Kubernetes platforms Familiarity with Flux, Argo CD, Helm, and Kustomize Experience supporting managed data and messaging platforms such as RDS, Kafka, or equivalent services Knowledge of application runtimes and services built using Java, Kotlin, Python, or similar technologies Experience implementing cloud security controls, governance, and compliance requirements Exposure to site reliability engineering (SRE) practices and platform engineering frameworks What we'll offer you: We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.
25/07/2026
Full time
This is not a live vacancy. We are building a talent pipeline ahead of anticipated demand and are keen to connect with strong Senior and Lead Cloud Platform Engineers for future opportunities. Role Overview We are seeking an experienced Cloud Platform Engineer to join our platform engineering team. This is a hands on role focused on designing, building, operating, and continuously improving cloud native platforms that enable development teams to deliver reliable, scalable, and secure applications. The successful candidate will combine deep expertise in Kubernetes, cloud infrastructure, automation, and DevOps practices with a strong operational mindset. They will be responsible for maintaining the health and evolution of containerised workloads, enhancing developer experience, and driving improvements across infrastructure, deployment pipelines, and platform services. At the Lead level, this role also combines hands on expertise with team leadership, stakeholder engagement, and delivery planning. The right candidate can operate credibly at an engineering level while also communicating clearly with business and technical stakeholders, translating platform priorities into a coherent roadmap and ensuring the team has the clarity and support needed to deliver effectively. This role requires a proactive engineer who can work independently, collaborate effectively across teams, and contribute to the ongoing maturity of modern cloud platforms. Key Responsibilities Own and support the operational health, reliability, scalability, and performance of Kubernetes based platforms and containerised workloads Manage and evolve Kubernetes environments, including workload deployment, configuration management, cluster operations, and platform upgrades Drive and maintain GitOps practices to ensure consistent, automated, and auditable infrastructure and application deployments Build, maintain, and improve infrastructure as code solutions to support scalable, repeatable, and secure cloud environments Develop and enhance CI/CD pipelines to streamline software delivery, improve deployment reliability, and reduce operational overhead Manage and optimise cloud native and managed platform services, including capacity planning, performance tuning, cost optimisation, patching, and lifecycle management Partner with software engineering teams to support application deployment, troubleshooting, observability, and platform adoption Monitor platform health and respond to incidents, conducting root cause analysis and implementing preventative improvements Identify technical debt and contribute to platform roadmaps focused on operational excellence, security, automation, and developer productivity Champion best practices in cloud architecture, security, reliability, automation, and platform engineering Participate in on call support and incident management activities as required, including for the EKS platform Additional Key Responsibilities for the Lead Own the platform engineering roadmap, working with business and technical stakeholders to prioritise initiatives, surface risks, and align delivery against wider programme goals Lead and mentor a team of platform engineers, providing technical guidance, supporting growth, and maintaining quality and consistency across the team's output Act as the primary technical point of contact for platform related matters across engineering, product, and operations teams Translate platform priorities into clear, actionable plans, ensuring the team understands objectives, dependencies, and delivery timelines Contribute to resourcing, planning, and prioritisation discussions, balancing technical debt, reliability, and new feature delivery Provide regular updates on roadmap progress, risks, and dependencies to relevant stakeholders and leadership Skills & Experience Strong experience operating Kubernetes in production environments, including cluster administration, workload management, networking, security, and performance optimisation Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, with a strong understanding of managed cloud services Hands on experience with GitOps methodologies and related tooling Experience with infrastructure as code tools such as Terraform Strong understanding of CI/CD principles and experience building and maintaining automated delivery pipelines Experience working with container technologies and cloud native architectures Knowledge of observability, monitoring, logging, and incident management practices Strong troubleshooting and problem solving skills across infrastructure, platform, and application layers Experience supporting software development teams in deploying and operating distributed applications Ability to work independently while collaborating effectively with cross functional teams Betting and gaming domain knowledge required Additional Essential Skills for the Lead Demonstrated experience leading or mentoring engineers, with the ability to balance technical leadership with people development Strong stakeholder management skills, with the ability to translate business priorities into technical roadmaps and vice versa Excellent communication skills, comfortable operating across both technical and non technical audiences Experience with Amazon EKS or other managed Kubernetes platforms Familiarity with Flux, Argo CD, Helm, and Kustomize Experience supporting managed data and messaging platforms such as RDS, Kafka, or equivalent services Knowledge of application runtimes and services built using Java, Kotlin, Python, or similar technologies Experience implementing cloud security controls, governance, and compliance requirements Exposure to site reliability engineering (SRE) practices and platform engineering frameworks What we'll offer you: We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.
Responsibilities Providing the organization's data consumers with high quality data sets by curating, consolidating, and manipulating data from a wide variety of large scale (terabyte and growing) sources. Building high quality data pipelines and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery. Developing and improving enterprise data marts by creating efficient and scalable data models to be used across the organization. Partnering with analytics, data science, CRM, and machine learning teams to deliver data solutions. Ensuring enterprise data mart integrity, validation, and documentation. Managing data pipeline SLA and dependency management. Writing technical documentation for data solutions and presenting at design reviews. Investigating data pipeline failures and implementing anomaly detection. Collaborating with analytics, product owners, and front end developers on tracking solutions and solving technical challenges. Leading medium to large size projects, including writing technical specifications and project planning. Mentoring junior team members. Qualifications BS or MS degree in Computer Science or a related technical discipline. 6+ years of data engineering or general software development experience. Experience with large datasets (terabyte scale and growing) and familiarity with Hadoop, Hive, BigQuery, Snowflake, MS SQL, PostgreSQL/MySQL. Comprehensive data design and data modeling experience. Solid experience developing complex ETL processes from concept to implementation, including SLA definition, performance measurement, and monitoring. Advanced SQL query and data exploration skills across large datasets. Systems performance and optimization experience, with an eye for how architecture and design impact performance and scalability. Experience in functional programming with Python (or an equivalent language). Strong software engineering principles and a self paced, organized, detail oriented mindset. Strong communication skills to effectively engage business and technical teams. Proven record of technical leadership on medium to large size projects and handling challenging deadlines. Intense curiosity, enthusiasm for solving difficult problems, and ability to simplify complex challenges. Experience with task orchestration tools such as Airflow. Comfortable working in a Linux CLI environment and designing high scale, fault tolerant, and performant distributed applications. Experience with real time data pipelines and programming languages such as Java. Exposure to or interest in machine learning and data science. Experience with data governance. Benefits Competitive compensation packages, including base salary, annual bonus, and more. Flexible work style options and a remote friendly approach. Flexible schedule with a focus on work life balance. Donation matching program. Tuition assistance for professional development. Lifestyle benefit for personal wellness or travel. Travel perks and discounts. Employee assistance program. Health benefits with competitive premiums. Generous referral scheme. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or recruiting process, please contact your recruiter or our team at . For additional questions about careers at Tripadvisor, email .
25/07/2026
Full time
Responsibilities Providing the organization's data consumers with high quality data sets by curating, consolidating, and manipulating data from a wide variety of large scale (terabyte and growing) sources. Building high quality data pipelines and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery. Developing and improving enterprise data marts by creating efficient and scalable data models to be used across the organization. Partnering with analytics, data science, CRM, and machine learning teams to deliver data solutions. Ensuring enterprise data mart integrity, validation, and documentation. Managing data pipeline SLA and dependency management. Writing technical documentation for data solutions and presenting at design reviews. Investigating data pipeline failures and implementing anomaly detection. Collaborating with analytics, product owners, and front end developers on tracking solutions and solving technical challenges. Leading medium to large size projects, including writing technical specifications and project planning. Mentoring junior team members. Qualifications BS or MS degree in Computer Science or a related technical discipline. 6+ years of data engineering or general software development experience. Experience with large datasets (terabyte scale and growing) and familiarity with Hadoop, Hive, BigQuery, Snowflake, MS SQL, PostgreSQL/MySQL. Comprehensive data design and data modeling experience. Solid experience developing complex ETL processes from concept to implementation, including SLA definition, performance measurement, and monitoring. Advanced SQL query and data exploration skills across large datasets. Systems performance and optimization experience, with an eye for how architecture and design impact performance and scalability. Experience in functional programming with Python (or an equivalent language). Strong software engineering principles and a self paced, organized, detail oriented mindset. Strong communication skills to effectively engage business and technical teams. Proven record of technical leadership on medium to large size projects and handling challenging deadlines. Intense curiosity, enthusiasm for solving difficult problems, and ability to simplify complex challenges. Experience with task orchestration tools such as Airflow. Comfortable working in a Linux CLI environment and designing high scale, fault tolerant, and performant distributed applications. Experience with real time data pipelines and programming languages such as Java. Exposure to or interest in machine learning and data science. Experience with data governance. Benefits Competitive compensation packages, including base salary, annual bonus, and more. Flexible work style options and a remote friendly approach. Flexible schedule with a focus on work life balance. Donation matching program. Tuition assistance for professional development. Lifestyle benefit for personal wellness or travel. Travel perks and discounts. Employee assistance program. Health benefits with competitive premiums. Generous referral scheme. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or recruiting process, please contact your recruiter or our team at . For additional questions about careers at Tripadvisor, email .
Tripadvisor is seeking an experienced data engineer to lead the design and delivery of large scale data pipelines and data marts. You will collaborate with analytics, ML, CRM, and product teams to produce reliable data solutions across terabytes of data in modern platforms. The role emphasizes scalable data modeling, ETL development, and strong problem solving skills, with opportunities to mentor junior team members and drive architectural improvements.
25/07/2026
Full time
Tripadvisor is seeking an experienced data engineer to lead the design and delivery of large scale data pipelines and data marts. You will collaborate with analytics, ML, CRM, and product teams to produce reliable data solutions across terabytes of data in modern platforms. The role emphasizes scalable data modeling, ETL development, and strong problem solving skills, with opportunities to mentor junior team members and drive architectural improvements.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Engineer, Infrastructure based in United Kingdom. Join an innovative engineering team building the infrastructure that powers advanced AI-driven products and agent-based workflows. In this role, you will design, operate, and improve highly scalable cloud platforms that enable reliable software delivery and efficient production systems. You will work across Kubernetes, cloud architecture, security, networking, data infrastructure, and developer tooling while solving complex technical challenges in a rapidly evolving environment. This position combines hands on software engineering with infrastructure ownership, giving you the opportunity to shape platform foundations, improve operational excellence, and directly influence how engineering teams build and deploy products. It is an ideal opportunity for an experienced infrastructure engineer who enjoys automation, solving ambiguous problems, and creating systems that scale. Accountabilities Design, build, and operate reliable infrastructure platforms supporting AI-powered products and large-scale production workloads. Own and improve Kubernetes environments, including cluster architecture, networking, ingress, service communication, workload isolation, autoscaling, and deployment practices. Develop and maintain cloud infrastructure across areas such as networking, security, identity management, secrets, firewalls, content delivery, and access controls. Improve system reliability through enhanced observability, monitoring, alerting, incident response processes, disaster recovery planning, and resilience improvements. Build and optimize infrastructure automation using infrastructure-as-code, CI/CD pipelines, GitOps workflows, and reusable platform tooling. Investigate and resolve complex production issues across application, infrastructure, networking, and data system layers. Improve infrastructure efficiency through cost optimization, capacity planning, resource management, and operational improvements. Support scalable data systems and distributed technologies, ensuring strong performance and reliability. Identify architectural bottlenecks and proactively develop solutions that prepare the platform for future growth and increasing AI workloads. Reduce operational complexity by replacing manual processes with automated, scalable engineering solutions. Requirements Strong software engineering background with experience writing and maintaining production-quality code. Proven experience designing, building, and operating infrastructure on major cloud platforms such as GCP, AWS, or similar environments. Hands on production experience with Kubernetes and containerized infrastructure. Strong understanding of cloud networking and security concepts, including VPCs, IAM, load balancing, DNS, firewalls, WAFs, CDNs, and service identity. Experience with infrastructure-as-code tools and automated deployment systems. Ability to debug and solve complex issues across software applications, infrastructure components, networking layers, and distributed systems. Experience operating large-scale distributed technologies such as OpenSearch, Elasticsearch, PostgreSQL, or similar systems. Strong focus on reliability, security, developer experience, and infrastructure cost efficiency. Proactive mindset with the ability to identify improvements, eliminate operational complexity, and take ownership of critical systems. Strong engineering fundamentals, problem-solving skills, and the ability to quickly learn unfamiliar technologies. Experience deploying or operating large language models with serving frameworks such as vLLM or SGLang is considered an advantage. Benefits Fully remote position with the flexibility to work from Europe. Opportunity to shape infrastructure foundations for next-generation AI-powered products. High level of ownership and direct impact on technical strategy and product development. Competitive equity package aligned with company growth and individual contribution. Opportunity to work alongside highly experienced AI and software engineering professionals. Flexible work environment focused on autonomy, trust, and results. Ability to contribute to meaningful projects with visible impact on users and the broader product direction. Culture that values engineering excellence, individual contributors, innovation, and continuous learning. Inclusive workplace committed to diversity and equal opportunities.
25/07/2026
Full time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Engineer, Infrastructure based in United Kingdom. Join an innovative engineering team building the infrastructure that powers advanced AI-driven products and agent-based workflows. In this role, you will design, operate, and improve highly scalable cloud platforms that enable reliable software delivery and efficient production systems. You will work across Kubernetes, cloud architecture, security, networking, data infrastructure, and developer tooling while solving complex technical challenges in a rapidly evolving environment. This position combines hands on software engineering with infrastructure ownership, giving you the opportunity to shape platform foundations, improve operational excellence, and directly influence how engineering teams build and deploy products. It is an ideal opportunity for an experienced infrastructure engineer who enjoys automation, solving ambiguous problems, and creating systems that scale. Accountabilities Design, build, and operate reliable infrastructure platforms supporting AI-powered products and large-scale production workloads. Own and improve Kubernetes environments, including cluster architecture, networking, ingress, service communication, workload isolation, autoscaling, and deployment practices. Develop and maintain cloud infrastructure across areas such as networking, security, identity management, secrets, firewalls, content delivery, and access controls. Improve system reliability through enhanced observability, monitoring, alerting, incident response processes, disaster recovery planning, and resilience improvements. Build and optimize infrastructure automation using infrastructure-as-code, CI/CD pipelines, GitOps workflows, and reusable platform tooling. Investigate and resolve complex production issues across application, infrastructure, networking, and data system layers. Improve infrastructure efficiency through cost optimization, capacity planning, resource management, and operational improvements. Support scalable data systems and distributed technologies, ensuring strong performance and reliability. Identify architectural bottlenecks and proactively develop solutions that prepare the platform for future growth and increasing AI workloads. Reduce operational complexity by replacing manual processes with automated, scalable engineering solutions. Requirements Strong software engineering background with experience writing and maintaining production-quality code. Proven experience designing, building, and operating infrastructure on major cloud platforms such as GCP, AWS, or similar environments. Hands on production experience with Kubernetes and containerized infrastructure. Strong understanding of cloud networking and security concepts, including VPCs, IAM, load balancing, DNS, firewalls, WAFs, CDNs, and service identity. Experience with infrastructure-as-code tools and automated deployment systems. Ability to debug and solve complex issues across software applications, infrastructure components, networking layers, and distributed systems. Experience operating large-scale distributed technologies such as OpenSearch, Elasticsearch, PostgreSQL, or similar systems. Strong focus on reliability, security, developer experience, and infrastructure cost efficiency. Proactive mindset with the ability to identify improvements, eliminate operational complexity, and take ownership of critical systems. Strong engineering fundamentals, problem-solving skills, and the ability to quickly learn unfamiliar technologies. Experience deploying or operating large language models with serving frameworks such as vLLM or SGLang is considered an advantage. Benefits Fully remote position with the flexibility to work from Europe. Opportunity to shape infrastructure foundations for next-generation AI-powered products. High level of ownership and direct impact on technical strategy and product development. Competitive equity package aligned with company growth and individual contribution. Opportunity to work alongside highly experienced AI and software engineering professionals. Flexible work environment focused on autonomy, trust, and results. Ability to contribute to meaningful projects with visible impact on users and the broader product direction. Culture that values engineering excellence, individual contributors, innovation, and continuous learning. Inclusive workplace committed to diversity and equal opportunities.
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.
25/07/2026
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.
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.
25/07/2026
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.
Our client, a forward-thinking company in the technology sector, is currently seeking a Lead Platform Engineer to join their dynamic team. This permanent, full-time position offers the flexibility of working from their London office or remotely. Key Responsibilities: Architect, design, and build scalable backend systems and APIs across our stack, from architecture through to production. Design and maintain microservice and event-driven architectures supporting real-time operational workflows. Lead a small team of engineers, driving their delivery and reviewing their work, while being accountable for what ships. Set the standard for building with agentic AI, including workflows and team-wide patterns. Contribute to technical strategy and architecture decisions, working closely with the Head of Engineering. Maintain secure, performant, and maintainable systems, ensuring reliable data pipelines as we scale. Engage closely with product workflows to ensure systems built solve the right problems. Job Requirements: Experience in software engineering, ideally in AI, SaaS, or automation platforms. A strong degree in Computer Science, Engineering, Mathematics, or a related field. Proven ability as a lead engineer, ready to own technical direction for major projects. Deep expertise in Node.js and NestJS, with experience in designing and building RESTful APIs and microservice-based systems. Experience with Next.js is highly desirable. An innovative approach to AI, using agentic AI tools like Claude Code and workflows as standard practice. A startup mentality, thriving in small, fast-paced teams with a high degree of autonomy. Proven leadership skills, guiding both in-person and remote engineers effectively. Benefits: Competitive salary and equity Flexible working arrangements: London office or remote Real technical ownership from day one Direct access to the founders If you are an experienced platform engineer looking for a challenging role with significant ownership and the opportunity to work in an innovative environment, we would love to hear from you. Apply now to join our client's talented team.
25/07/2026
Full time
Our client, a forward-thinking company in the technology sector, is currently seeking a Lead Platform Engineer to join their dynamic team. This permanent, full-time position offers the flexibility of working from their London office or remotely. Key Responsibilities: Architect, design, and build scalable backend systems and APIs across our stack, from architecture through to production. Design and maintain microservice and event-driven architectures supporting real-time operational workflows. Lead a small team of engineers, driving their delivery and reviewing their work, while being accountable for what ships. Set the standard for building with agentic AI, including workflows and team-wide patterns. Contribute to technical strategy and architecture decisions, working closely with the Head of Engineering. Maintain secure, performant, and maintainable systems, ensuring reliable data pipelines as we scale. Engage closely with product workflows to ensure systems built solve the right problems. Job Requirements: Experience in software engineering, ideally in AI, SaaS, or automation platforms. A strong degree in Computer Science, Engineering, Mathematics, or a related field. Proven ability as a lead engineer, ready to own technical direction for major projects. Deep expertise in Node.js and NestJS, with experience in designing and building RESTful APIs and microservice-based systems. Experience with Next.js is highly desirable. An innovative approach to AI, using agentic AI tools like Claude Code and workflows as standard practice. A startup mentality, thriving in small, fast-paced teams with a high degree of autonomy. Proven leadership skills, guiding both in-person and remote engineers effectively. Benefits: Competitive salary and equity Flexible working arrangements: London office or remote Real technical ownership from day one Direct access to the founders If you are an experienced platform engineer looking for a challenging role with significant ownership and the opportunity to work in an innovative environment, we would love to hear from you. Apply now to join our client's talented team.
We're looking for a Staff Analytics Platform Engineer. In this role you will shape the architecture, reliability, and future direction of the analytics platform that powers trusted, high quality insight across Our Future Health. As a Staff Analytics Platform Engineer, you'll provide technical leadership across the entire analytics platform, from ingestion and transformation tooling to Snowflake architecture, semantic modelling, and secure analytics environments. You'll define the patterns, standards, and infrastructure that enable analysts, data scientists, and product teams to build reliable, scalable analytics with confidence. This is a role where your decisions shape the platform for years to come, and your impact multiplies across every team that uses data. At Our Future Health, our mission is to transform the prevention,detectionand treatment of conditions such as dementia, cancer, diabetes, heart disease and stroke. We're looking for people to join us on our journey. If you're looking for a new challenge where you can contribute to helping future generations live in good health for longer, then we're keen to speak with you. What you'll be doing Co owning the analytics platform architecture, designing end to end solutions across Snowflake, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments. Defining and driving the long term technical vision for the analytics platform, ensuring it is scalable, cost efficient, secure, and easy for data consumers to use. Establishing architectural principles and patterns that balance reliability, governance, usability, and performance across the entire data ecosystem. Leading high impact platform initiatives that improve performance, developer experience, cost efficiency, or operational maturity. Owning and evolving core platform components, including CI/CD, testing strategies, environment management, observability, and infrastructure as code. Acting as the technical escalation point for complex, cross cutting platform issues and guiding teams toward robust, scalable solutions. Driving Snowflake performance and cost optimisation, informed by real workloads and modelling patterns. Implementing and maturing data SLAs/SLOs, data observability, lineage, and quality frameworks to ensure trusted analytics at scale. Collaborating with data product and engineering teams to enable safe, scalable ingestion and well defined data contracts. Influencing how teams design and interact with data systems, raising engineering standards across the organisation. Providing technical mentorship to analytics engineers and platform engineers, helping elevate capability across the data function. What you won't be doing Working in a siloed environment with no freedom to make decisions. Working in a place where you can't see the impact your expertise makes. To succeed in this role you will be able to demonstrate some of the following skills and experience Deep experience building and running modern data platforms in complex, multi team environments. Excellent Python engineering skills and the ability to design scalable, reliable platform components. Expertise in analytics data modelling and how modelling choices affect performance, cost, and usability. Hands on experience with ingestion/orchestration tooling (e.g. Airbyte) and scaling pipelines across many sources. Proven technical leadership across infrastructure, ingestion, transformation, and analytics enablement. Strong platform architecture experience: Snowflake, dbt execution, semantic layers, secure analytics environments. Ability to diagnose complex, cross cutting issues across data, infrastructure, and analytical workloads. A track record of improving developer experience and reducing friction in data development. Clear, influential communication skills with the ability to align teams around platform strategy. Experience mentoring engineers and raising capability across data and platform teams. Hands on dbt and analytics CI/CD experience. Experience with Kubernetes and cloud native environments. Familiarity with semantic layers and BI tooling (e.g. Omni). Experience supporting secure notebook environments (Coder, Jupyter, RStudio). Comfort working in regulated environments with strong governance and audit needs. Knowledge of Terraform, data governance models, and data observability tooling. Benefits Salary from £95,000 per annum. Generous Pension Scheme - We invest in your future with employer contributions of up to 12%. 30 Days Holiday + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you. Enhanced Parental Leave - Supporting you during life's biggest moments. Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice. Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family. A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements. Join us - let'sprevent disease together. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you do require any reasonable adjustments, please email us at
25/07/2026
Full time
We're looking for a Staff Analytics Platform Engineer. In this role you will shape the architecture, reliability, and future direction of the analytics platform that powers trusted, high quality insight across Our Future Health. As a Staff Analytics Platform Engineer, you'll provide technical leadership across the entire analytics platform, from ingestion and transformation tooling to Snowflake architecture, semantic modelling, and secure analytics environments. You'll define the patterns, standards, and infrastructure that enable analysts, data scientists, and product teams to build reliable, scalable analytics with confidence. This is a role where your decisions shape the platform for years to come, and your impact multiplies across every team that uses data. At Our Future Health, our mission is to transform the prevention,detectionand treatment of conditions such as dementia, cancer, diabetes, heart disease and stroke. We're looking for people to join us on our journey. If you're looking for a new challenge where you can contribute to helping future generations live in good health for longer, then we're keen to speak with you. What you'll be doing Co owning the analytics platform architecture, designing end to end solutions across Snowflake, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments. Defining and driving the long term technical vision for the analytics platform, ensuring it is scalable, cost efficient, secure, and easy for data consumers to use. Establishing architectural principles and patterns that balance reliability, governance, usability, and performance across the entire data ecosystem. Leading high impact platform initiatives that improve performance, developer experience, cost efficiency, or operational maturity. Owning and evolving core platform components, including CI/CD, testing strategies, environment management, observability, and infrastructure as code. Acting as the technical escalation point for complex, cross cutting platform issues and guiding teams toward robust, scalable solutions. Driving Snowflake performance and cost optimisation, informed by real workloads and modelling patterns. Implementing and maturing data SLAs/SLOs, data observability, lineage, and quality frameworks to ensure trusted analytics at scale. Collaborating with data product and engineering teams to enable safe, scalable ingestion and well defined data contracts. Influencing how teams design and interact with data systems, raising engineering standards across the organisation. Providing technical mentorship to analytics engineers and platform engineers, helping elevate capability across the data function. What you won't be doing Working in a siloed environment with no freedom to make decisions. Working in a place where you can't see the impact your expertise makes. To succeed in this role you will be able to demonstrate some of the following skills and experience Deep experience building and running modern data platforms in complex, multi team environments. Excellent Python engineering skills and the ability to design scalable, reliable platform components. Expertise in analytics data modelling and how modelling choices affect performance, cost, and usability. Hands on experience with ingestion/orchestration tooling (e.g. Airbyte) and scaling pipelines across many sources. Proven technical leadership across infrastructure, ingestion, transformation, and analytics enablement. Strong platform architecture experience: Snowflake, dbt execution, semantic layers, secure analytics environments. Ability to diagnose complex, cross cutting issues across data, infrastructure, and analytical workloads. A track record of improving developer experience and reducing friction in data development. Clear, influential communication skills with the ability to align teams around platform strategy. Experience mentoring engineers and raising capability across data and platform teams. Hands on dbt and analytics CI/CD experience. Experience with Kubernetes and cloud native environments. Familiarity with semantic layers and BI tooling (e.g. Omni). Experience supporting secure notebook environments (Coder, Jupyter, RStudio). Comfort working in regulated environments with strong governance and audit needs. Knowledge of Terraform, data governance models, and data observability tooling. Benefits Salary from £95,000 per annum. Generous Pension Scheme - We invest in your future with employer contributions of up to 12%. 30 Days Holiday + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you. Enhanced Parental Leave - Supporting you during life's biggest moments. Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice. Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family. A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements. Join us - let'sprevent disease together. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you do require any reasonable adjustments, please email us at
SAS Data Engineer (Pentaho, Talend, Denodo) - MUST HAVE SC CLEARANCE - Telford and remote - 6 months+/RATE: £525 per day inside IR35 One of our Blue Chip Clients is urgently looking for a SAS Data Engineer (Pentaho, Talend, Denodo) Please find some details below: Clearance Required: SC Duration: 6 months Location: Telford with 2 days/week in office Please find some details below: Project Overview: The Preventative Risking (PR) team within RIS is responsible for managing the risking and compliance referral processes for Self-Assessment (SA) registrations. Currently, the system identifies approximately 200,000 fraudulent registrations out of 1 million, resulting in an estimated £51 million to £219 million in lost SA repayment claims (based on 2021/2022 figures). To address this, a proof of concept (POC) was developed using: SAS Enterprise Guide for table creation, SAS Studio V and SAS RTENG to build the SA registration network, SAS Viya 3.5 tools for risk assessment of new SA registrations. The POC leveraged data from 20 different sources, most of which were already housed in the Minerva Oracle database. Previously, some data had to be transferred manually. However, the automated file transfers described in this Solution Design Document (SDD) will now move that data to the SAS platform using approved Enterprise Architecture (EA) integration patterns, with the initial phase, targeted for delivery in April 2026. This role will form part of a new scrum team within Minerva Platfrom to develop and deliver the Ingestion and Risking within the SAS Platform including IDP. Key Responsibilities: Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS. Architect and implement scalable data pipelines and services that support Business Intelligence and analytics platforms. Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver robust data solutions. Champion Agile and Scrum methodologies, ensuring timely delivery of sprints and continuous improvement. Drive DevOps practices for CI/CD, automated testing, and deployment of data services. Mentor and guide junior engineers, fostering a culture of technical excellence and innovation. Ensure data quality, governance, and security standards are upheld across all solutions. Troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (eg, Jenkins, Git, Docker, Kubernetes). Strong SQL and data modelling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data technologies are a plus. Please send CV for full details and immediate interviews. We are a preferred supplier to the client.
24/07/2026
Contractor
SAS Data Engineer (Pentaho, Talend, Denodo) - MUST HAVE SC CLEARANCE - Telford and remote - 6 months+/RATE: £525 per day inside IR35 One of our Blue Chip Clients is urgently looking for a SAS Data Engineer (Pentaho, Talend, Denodo) Please find some details below: Clearance Required: SC Duration: 6 months Location: Telford with 2 days/week in office Please find some details below: Project Overview: The Preventative Risking (PR) team within RIS is responsible for managing the risking and compliance referral processes for Self-Assessment (SA) registrations. Currently, the system identifies approximately 200,000 fraudulent registrations out of 1 million, resulting in an estimated £51 million to £219 million in lost SA repayment claims (based on 2021/2022 figures). To address this, a proof of concept (POC) was developed using: SAS Enterprise Guide for table creation, SAS Studio V and SAS RTENG to build the SA registration network, SAS Viya 3.5 tools for risk assessment of new SA registrations. The POC leveraged data from 20 different sources, most of which were already housed in the Minerva Oracle database. Previously, some data had to be transferred manually. However, the automated file transfers described in this Solution Design Document (SDD) will now move that data to the SAS platform using approved Enterprise Architecture (EA) integration patterns, with the initial phase, targeted for delivery in April 2026. This role will form part of a new scrum team within Minerva Platfrom to develop and deliver the Ingestion and Risking within the SAS Platform including IDP. Key Responsibilities: Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS. Architect and implement scalable data pipelines and services that support Business Intelligence and analytics platforms. Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver robust data solutions. Champion Agile and Scrum methodologies, ensuring timely delivery of sprints and continuous improvement. Drive DevOps practices for CI/CD, automated testing, and deployment of data services. Mentor and guide junior engineers, fostering a culture of technical excellence and innovation. Ensure data quality, governance, and security standards are upheld across all solutions. Troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (eg, Jenkins, Git, Docker, Kubernetes). Strong SQL and data modelling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data technologies are a plus. Please send CV for full details and immediate interviews. We are a preferred supplier to the client.
London, United Kingdom - Remote / Hybrid About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Tripadvisor, the world's largest travel site, operates at scale with over 500 million reviews, opinions, photos, and videos reaching over 390 million unique visitors each month. We are a data driven company that leverages our data to empower our decisions. Tripadvisor is extremely excited to play a pivotal role in supporting our travellers. With travel plans dashed in early 2020, many people have been dreaming about their next big holiday for more than a year, so it's no surprise that travellers are extra conscious of getting it just right when they do travel. Helping to play an important role in enabling travellers is an amazing opportunity over the next year and beyond. Our data engineering team is looking to hire a Senior Data Engineer in the UK. The new Senior Data Engineer will be focused on delivering Tripadvisor's first-in-class data products that serve all data users across the organization. As a member of the Data Platform Enterprise Services Team, you will collaborate with engineering and business stakeholders to build, optimize, maintain, and secure the full data vertical including tracking instrumentation, information architecture, ETL pipelines, and tooling that provide key analytics insights for business-critical decisions at the highest levels of Product, Finance, Sales, CRM, Marketing, Data Science, and more. All in a dynamic environment of continuously modernizing tech stack including highly scalable architecture, cloud-based infrastructure, and real-time responsiveness. Tripadvisor provides a unique, global work environment that captures the speed, innovation and excitement of a startup, at a thriving, growing and well established industry brand. We take pride in our data engineering and are looking for a talented and highly motivated engineer with a passion for solving interesting problems to add to our high performing team. What You'll Do Providing the organization's data consumers high quality data sets by data curation, consolidation, and manipulation from a wide variety of large scale (terabyte and growing) sources. Building high quality data pipelines and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery. Developing and improving our enterprise data marts by creating efficient and scalable data models to be used across the organization. Partnering with our analytics, data science, crm, and machine learning teams for data solutions. Responsible for an enterprise data mart integrity, validation, and documentation. Responsible for the data pipelines' SLA and dependency management. Writing technical documentation for data solutions, and presenting at design reviews Solving data pipeline failure events and implementing sound anomaly detection Working with various teams from analytics to product owners and front end developers on tracking solutions and solving technical challenges Leading medium to large size projects in terms of writing technical specs and project planning Mentoring junior members of the team. Skills & Experience BS or MS degree in Computer Science or a related technical discipline 6+ years of data engineering or general software development experience Experience working with large datasets (terabyte scale and growing) and familiarity with various technologies and tooling associated with databases and big data: Big Data (i.e. Hadoop, Hive, BigQuery, Snowflake) Relational DB (MS SQL, PostgreSQL/MySQL) Comprehensive data design and data modeling experience Solid experience developing complex ETL processes from concept to implementation; these should include defining SLA, performance measurements and monitoring. Advanced query language and data exploration skills, proven record of writing complex SQL queries across large datasets. Systems performance and optimization experience, with an eye for how systems architecture and design impacts performance and scalability Experience in functional programming in Python or in an equivalent language Strong software engineering principles Self paced, organized, and detail oriented person with a strong sense of ownership Strong communication skills to effectively communicate with both business and technical teams. Ability to work in a fast paced and dynamic environment Proven record of technical leadership on planning and driving medium to large size projects and handling challenging deadlines. Strong interpersonal skills, intense curiosity, and an enthusiasm for solving difficult problems. Ability to break down complex problems into simple solutions. Ability to work with end users to solve technical challenges Comfortable owning the full data vertical and work autonomously Ability to mentor and support more junior members of the Team Nice to have Exposure to and/or interest in machine learning and data science specifically to help solve day to day problems and reach objectives in an innovative way Experience working with task orchestration tools, Airflow or similar systems Comfortable working in a Linux CLI environment Experience in designing high scale, fault tolerant and performant distributed applications Experience in developing and managing real time data pipelines Experience in programming languages such as Java or equivalent Experience with data governance. What We Offer Competitive compensation packages, including base salary, annual bonus, and more. "Work your way" with flexibility to suit your lifestyle. We take a remote friendly approach to collaboration, with the option to join on site as often as you'd like in select locations. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Accessibility & Diversity We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . Equal Employment Opportunity Individuals seeking employment at Tripadvisor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any characteristic protected by law. Tripadvisor is committed to creating an inclusive culture. If you choose to share this information, it will allow us to track the effectiveness of our recruiting efforts and to monitor the diversity of our applicant pool for all roles and levels. Please consider answering the following voluntary questions. Completion is entirely voluntary. Should you choose to answer any of the questions, your answers will not be considered in the hiring process or thereafter . click apply for full job details
24/07/2026
Full time
London, United Kingdom - Remote / Hybrid About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Tripadvisor, the world's largest travel site, operates at scale with over 500 million reviews, opinions, photos, and videos reaching over 390 million unique visitors each month. We are a data driven company that leverages our data to empower our decisions. Tripadvisor is extremely excited to play a pivotal role in supporting our travellers. With travel plans dashed in early 2020, many people have been dreaming about their next big holiday for more than a year, so it's no surprise that travellers are extra conscious of getting it just right when they do travel. Helping to play an important role in enabling travellers is an amazing opportunity over the next year and beyond. Our data engineering team is looking to hire a Senior Data Engineer in the UK. The new Senior Data Engineer will be focused on delivering Tripadvisor's first-in-class data products that serve all data users across the organization. As a member of the Data Platform Enterprise Services Team, you will collaborate with engineering and business stakeholders to build, optimize, maintain, and secure the full data vertical including tracking instrumentation, information architecture, ETL pipelines, and tooling that provide key analytics insights for business-critical decisions at the highest levels of Product, Finance, Sales, CRM, Marketing, Data Science, and more. All in a dynamic environment of continuously modernizing tech stack including highly scalable architecture, cloud-based infrastructure, and real-time responsiveness. Tripadvisor provides a unique, global work environment that captures the speed, innovation and excitement of a startup, at a thriving, growing and well established industry brand. We take pride in our data engineering and are looking for a talented and highly motivated engineer with a passion for solving interesting problems to add to our high performing team. What You'll Do Providing the organization's data consumers high quality data sets by data curation, consolidation, and manipulation from a wide variety of large scale (terabyte and growing) sources. Building high quality data pipelines and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery. Developing and improving our enterprise data marts by creating efficient and scalable data models to be used across the organization. Partnering with our analytics, data science, crm, and machine learning teams for data solutions. Responsible for an enterprise data mart integrity, validation, and documentation. Responsible for the data pipelines' SLA and dependency management. Writing technical documentation for data solutions, and presenting at design reviews Solving data pipeline failure events and implementing sound anomaly detection Working with various teams from analytics to product owners and front end developers on tracking solutions and solving technical challenges Leading medium to large size projects in terms of writing technical specs and project planning Mentoring junior members of the team. Skills & Experience BS or MS degree in Computer Science or a related technical discipline 6+ years of data engineering or general software development experience Experience working with large datasets (terabyte scale and growing) and familiarity with various technologies and tooling associated with databases and big data: Big Data (i.e. Hadoop, Hive, BigQuery, Snowflake) Relational DB (MS SQL, PostgreSQL/MySQL) Comprehensive data design and data modeling experience Solid experience developing complex ETL processes from concept to implementation; these should include defining SLA, performance measurements and monitoring. Advanced query language and data exploration skills, proven record of writing complex SQL queries across large datasets. Systems performance and optimization experience, with an eye for how systems architecture and design impacts performance and scalability Experience in functional programming in Python or in an equivalent language Strong software engineering principles Self paced, organized, and detail oriented person with a strong sense of ownership Strong communication skills to effectively communicate with both business and technical teams. Ability to work in a fast paced and dynamic environment Proven record of technical leadership on planning and driving medium to large size projects and handling challenging deadlines. Strong interpersonal skills, intense curiosity, and an enthusiasm for solving difficult problems. Ability to break down complex problems into simple solutions. Ability to work with end users to solve technical challenges Comfortable owning the full data vertical and work autonomously Ability to mentor and support more junior members of the Team Nice to have Exposure to and/or interest in machine learning and data science specifically to help solve day to day problems and reach objectives in an innovative way Experience working with task orchestration tools, Airflow or similar systems Comfortable working in a Linux CLI environment Experience in designing high scale, fault tolerant and performant distributed applications Experience in developing and managing real time data pipelines Experience in programming languages such as Java or equivalent Experience with data governance. What We Offer Competitive compensation packages, including base salary, annual bonus, and more. "Work your way" with flexibility to suit your lifestyle. We take a remote friendly approach to collaboration, with the option to join on site as often as you'd like in select locations. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Accessibility & Diversity We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . Equal Employment Opportunity Individuals seeking employment at Tripadvisor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any characteristic protected by law. Tripadvisor is committed to creating an inclusive culture. If you choose to share this information, it will allow us to track the effectiveness of our recruiting efforts and to monitor the diversity of our applicant pool for all roles and levels. Please consider answering the following voluntary questions. Completion is entirely voluntary. Should you choose to answer any of the questions, your answers will not be considered in the hiring process or thereafter . click apply for full job details
Elliptic has helped trace and disrupt over $21.8 billion in illicit crypto laundered across blockchains, from sanctioned nation states to organized crime networks hiding funds through token swaps and unregulated exchanges. It's how compliance and investigations teams fight back, tracking and screening transactions with 99% market coverage. The infrastructure behind all of this needs to be as resilient and sharp as the intelligence it delivers. We're looking for a Lead DevOps Engineer to own and evolve our DevOps practices. This is a role for someone who combines deep technical ability with a genuine passion for growing the team. You'll lead a team of DevOps engineers while staying close to the technical work, setting direction on infrastructure, automation, and reliability. The impact you will have: As a Lead DevOps Engineer at Elliptic, you will have a deep impact across the company by championing DevOps, security, and reliability principles. You'll help build a culture of automation, efficiency, and continuous improvement, empowering teams to deliver secure, high-quality software with confidence. You'll work alongside experienced and passionate engineers who enjoy solving tough challenges and learning from one another. This is a hands on team Lead role where you will balance technical expertise with team leadership. What you will do: Own the DevOps and Platform roadmap, defining the automation, scaling, and multi tenant Kubernetes based Internal Developer Platform (IDP). Lead by doing - engineer, review, and enhance Kubernetes and CNCF aligned infrastructure, setting technical standards. Architect multi cluster, multi region environments using Istio/Linkerd, Cluster API, and Kyverno. Build progressive delivery frameworks with Flux and Flagger for GitOps driven, canary, and automated releases. Implement modern provisioning with controllers like Crossplane and ACK for Kubernetes native cloud integration. Define and enforce Zero Trust architecture with Vault, Boundary, service identity, and mTLS secured meshes. Engineer policy driven automation and compliance using OPA, Kyverno, and secure supply chain configurations. Establish IaC and GitOps standards, adding automated testing to every infrastructure change. Prototype agentic infrastructure components, including deployment and observability platforms in service meshes. Design AI Gateways and Registries for traffic and event routing between microservices and autonomous agents via CNCF Gateway APIs. Champion DevSecOps maturity by embedding SAST/DAST, chaos engineering, and error budget monitoring. Collaborate with Security, Data, and AI teams to shape DevOps and AI platform architectures with regulatory compliance. Stay ahead of CNCF and AI ecosystem innovations, from eBPF observability to agent aware orchestration. What We're Looking For We value diverse backgrounds and paths to expertise. If you bring solid experience in several of the areas below, we encourage you to apply even if you don't meet every detail. Core Expertise Experience leading or mentoring engineering teams with the ability to set direction and contribute hands on. Strong Kubernetes knowledge, including cluster lifecycle management, API extensions, Operators, Helm, and the broader CNCF ecosystem (Cilium, ExternalDNS, Kyverno, Gatekeeper). Designing and operating multi cluster, multi region Kubernetes platforms with service meshes such as Istio, Consul, or Linkerd and policy based workload placement. Writing Infrastructure as Code with Terraform on AWS or GCP using modular design, GitOps integration, and automated testing (Terratest, InSpec). Implementing GitOps pipelines with ArgoCD or FluxCD for progressive delivery, drift correction, and multi environment releases. Building containerized, serverless, or event driven systems with strong observability using DataDog, Splunk, or OpenTelemetry. Strengthening platform security through Vault based secret management, least privilege access, and compliance automation. Designing CI/CD workflows that include SAST, DAST, policy enforcement, and performance telemetry. Improving reliability and resilience through SLOs, error budgets, and chaos engineering. You'll Thrive Here If You Are passionate about building secure, scalable, and reliable systems and helping others do the same. Have a strong customer and product mindset. Take ownership and make thoughtful, data informed decisions. Enjoy building high performing, inclusive, and autonomous teams. Align technical leadership with business outcomes. Collaborate openly and continuously seek to learn and grow. Nice to Have The following are genuinely bonus areas. Great if you have them, but not required. Leading platform modernisation or reliability initiatives in scale up or regulated environments. Experience with Operator development, CRD automation, eBPF, or Cilium for observability. Expertise in policy as code using OPA or Kyverno within secure supply chain or CSPM frameworks. Exposure to AI driven internal developer platforms or predictive observability using AI or LLMs. Experience designing agentic or autonomous infrastructures with observability for AI agents. Familiarity with MCP and A2A orchestration patterns in Kubernetes service mesh environments. Understanding of Agent Gateways and Registries connecting microservices and AI agents. Background in secure containers, sandboxing, or confidential computing for regulated workloads. Experience with data intensive systems such as Spark, Databricks, or Data Mesh. Programming experience in Go, Python, or TypeScript. Contributions to open source or CNCF community projects. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave and leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries Cycle to Work Scheme We know Diversity and Inclusion is much deeper than just hiring, but it's important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don't all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.
24/07/2026
Full time
Elliptic has helped trace and disrupt over $21.8 billion in illicit crypto laundered across blockchains, from sanctioned nation states to organized crime networks hiding funds through token swaps and unregulated exchanges. It's how compliance and investigations teams fight back, tracking and screening transactions with 99% market coverage. The infrastructure behind all of this needs to be as resilient and sharp as the intelligence it delivers. We're looking for a Lead DevOps Engineer to own and evolve our DevOps practices. This is a role for someone who combines deep technical ability with a genuine passion for growing the team. You'll lead a team of DevOps engineers while staying close to the technical work, setting direction on infrastructure, automation, and reliability. The impact you will have: As a Lead DevOps Engineer at Elliptic, you will have a deep impact across the company by championing DevOps, security, and reliability principles. You'll help build a culture of automation, efficiency, and continuous improvement, empowering teams to deliver secure, high-quality software with confidence. You'll work alongside experienced and passionate engineers who enjoy solving tough challenges and learning from one another. This is a hands on team Lead role where you will balance technical expertise with team leadership. What you will do: Own the DevOps and Platform roadmap, defining the automation, scaling, and multi tenant Kubernetes based Internal Developer Platform (IDP). Lead by doing - engineer, review, and enhance Kubernetes and CNCF aligned infrastructure, setting technical standards. Architect multi cluster, multi region environments using Istio/Linkerd, Cluster API, and Kyverno. Build progressive delivery frameworks with Flux and Flagger for GitOps driven, canary, and automated releases. Implement modern provisioning with controllers like Crossplane and ACK for Kubernetes native cloud integration. Define and enforce Zero Trust architecture with Vault, Boundary, service identity, and mTLS secured meshes. Engineer policy driven automation and compliance using OPA, Kyverno, and secure supply chain configurations. Establish IaC and GitOps standards, adding automated testing to every infrastructure change. Prototype agentic infrastructure components, including deployment and observability platforms in service meshes. Design AI Gateways and Registries for traffic and event routing between microservices and autonomous agents via CNCF Gateway APIs. Champion DevSecOps maturity by embedding SAST/DAST, chaos engineering, and error budget monitoring. Collaborate with Security, Data, and AI teams to shape DevOps and AI platform architectures with regulatory compliance. Stay ahead of CNCF and AI ecosystem innovations, from eBPF observability to agent aware orchestration. What We're Looking For We value diverse backgrounds and paths to expertise. If you bring solid experience in several of the areas below, we encourage you to apply even if you don't meet every detail. Core Expertise Experience leading or mentoring engineering teams with the ability to set direction and contribute hands on. Strong Kubernetes knowledge, including cluster lifecycle management, API extensions, Operators, Helm, and the broader CNCF ecosystem (Cilium, ExternalDNS, Kyverno, Gatekeeper). Designing and operating multi cluster, multi region Kubernetes platforms with service meshes such as Istio, Consul, or Linkerd and policy based workload placement. Writing Infrastructure as Code with Terraform on AWS or GCP using modular design, GitOps integration, and automated testing (Terratest, InSpec). Implementing GitOps pipelines with ArgoCD or FluxCD for progressive delivery, drift correction, and multi environment releases. Building containerized, serverless, or event driven systems with strong observability using DataDog, Splunk, or OpenTelemetry. Strengthening platform security through Vault based secret management, least privilege access, and compliance automation. Designing CI/CD workflows that include SAST, DAST, policy enforcement, and performance telemetry. Improving reliability and resilience through SLOs, error budgets, and chaos engineering. You'll Thrive Here If You Are passionate about building secure, scalable, and reliable systems and helping others do the same. Have a strong customer and product mindset. Take ownership and make thoughtful, data informed decisions. Enjoy building high performing, inclusive, and autonomous teams. Align technical leadership with business outcomes. Collaborate openly and continuously seek to learn and grow. Nice to Have The following are genuinely bonus areas. Great if you have them, but not required. Leading platform modernisation or reliability initiatives in scale up or regulated environments. Experience with Operator development, CRD automation, eBPF, or Cilium for observability. Expertise in policy as code using OPA or Kyverno within secure supply chain or CSPM frameworks. Exposure to AI driven internal developer platforms or predictive observability using AI or LLMs. Experience designing agentic or autonomous infrastructures with observability for AI agents. Familiarity with MCP and A2A orchestration patterns in Kubernetes service mesh environments. Understanding of Agent Gateways and Registries connecting microservices and AI agents. Background in secure containers, sandboxing, or confidential computing for regulated workloads. Experience with data intensive systems such as Spark, Databricks, or Data Mesh. Programming experience in Go, Python, or TypeScript. Contributions to open source or CNCF community projects. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave and leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries Cycle to Work Scheme We know Diversity and Inclusion is much deeper than just hiring, but it's important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don't all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.
Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets in a modern, cloud-native environment. About Scrumconnect Scrumconnect is a leading UK technology consultancy delivering digital transformation across public and private sectors, contributing to over 20% of the UK's major citizen-facing public services. We specialise in cloud engineering, data platforms, and agile delivery, helping clients build scalable, secure, and user-centred digital solutions that create real impact. Active SC clearance is a mandatory, non-negotiable requirement. Candidates must hold current, in-date Security Check (SC) clearance at the time of application. Sponsorship is not available. Applications without active SC clearance will not be considered. Working arrangement: This role is hybrid. Candidates must be willing and able to travel to the Newcastle office three days per week. Remaining days may be worked remotely from anywhere in the UK. About the role You will work as a Data Engineer on a complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets to downstream users. You will apply strong data analysis skills to identify root causes of data issues, work with dimensional data models and slowly changing dimensions, and implement infrastructure as code using Terraform. Familiarity with engineering best practices and the ability to translate customer expectations into applied technical functionality are key to success in this role. Key responsibilitiesData pipeline development Build and maintain scalable data pipelines using Apache Spark and PySpark, processing and transforming large datasets across distributed cloud infrastructure. Workflow orchestration Configure and manage Apache Airflow DAGs for task orchestration, ensuring reliable scheduling, monitoring, and execution of data processing workflows. Root cause analysis Perform data analysis to identify and resolve root causes of pipeline failures and data quality issues - including reviewing EMR output logs and CloudWatch metrics. Data modelling Apply understanding of dimensional data models and slowly changing dimensions (SCD) to design and maintain well-structured, analytically trusted data assets. Infrastructure as code Provision and manage cloud infrastructure using Terraform. Containerise solutions using Docker and manage deployments through GitLab CI/CD pipelines and release tagging. Security & encryption Apply understanding of both Server Side and client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. Technical skills requiredLanguages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures for constructing robust, scalable solutions Data processing & orchestration Apache Spark - understanding of distributed data processing architecture and execution Apache Airflow - configuring DAGs and managing task orchestration at scale Jupyter Notebooks - for exploratory data analysis and pipeline prototyping Understanding of dimensional data models and slowly changing dimensions (SCD Types 1, 2, 3) Data analysis skills to identify root cause of issues within pipelines and data assets AWS services Amazon EMR - running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring services Understanding of Server Side and client-side encryption within AWS Infrastructure, DevOps & delivery Terraform - Infrastructure as Code for provisioning and managing AWS environments Docker - containerisation of data engineering solutions GitLab - source code management, CI/CD pipeline configuration, release tagging, and component versioning Familiarity with engineering best practices Ability to translate customer expectations into applied, functional technical solutions Technology stack at a glance PythonPySparkSQLApache SparkApache AirflowJupyter NotebooksDimensional modelling/SCDAWS EMRAmazon AthenaAWS S3AWS IAMAWS CloudWatchAWS EC2/ECRAmazon TextractAmazon ComprehendTerraformDockerGitLab CI/CDGitLab Tags
24/07/2026
Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets in a modern, cloud-native environment. About Scrumconnect Scrumconnect is a leading UK technology consultancy delivering digital transformation across public and private sectors, contributing to over 20% of the UK's major citizen-facing public services. We specialise in cloud engineering, data platforms, and agile delivery, helping clients build scalable, secure, and user-centred digital solutions that create real impact. Active SC clearance is a mandatory, non-negotiable requirement. Candidates must hold current, in-date Security Check (SC) clearance at the time of application. Sponsorship is not available. Applications without active SC clearance will not be considered. Working arrangement: This role is hybrid. Candidates must be willing and able to travel to the Newcastle office three days per week. Remaining days may be worked remotely from anywhere in the UK. About the role You will work as a Data Engineer on a complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets to downstream users. You will apply strong data analysis skills to identify root causes of data issues, work with dimensional data models and slowly changing dimensions, and implement infrastructure as code using Terraform. Familiarity with engineering best practices and the ability to translate customer expectations into applied technical functionality are key to success in this role. Key responsibilitiesData pipeline development Build and maintain scalable data pipelines using Apache Spark and PySpark, processing and transforming large datasets across distributed cloud infrastructure. Workflow orchestration Configure and manage Apache Airflow DAGs for task orchestration, ensuring reliable scheduling, monitoring, and execution of data processing workflows. Root cause analysis Perform data analysis to identify and resolve root causes of pipeline failures and data quality issues - including reviewing EMR output logs and CloudWatch metrics. Data modelling Apply understanding of dimensional data models and slowly changing dimensions (SCD) to design and maintain well-structured, analytically trusted data assets. Infrastructure as code Provision and manage cloud infrastructure using Terraform. Containerise solutions using Docker and manage deployments through GitLab CI/CD pipelines and release tagging. Security & encryption Apply understanding of both Server Side and client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. Technical skills requiredLanguages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures for constructing robust, scalable solutions Data processing & orchestration Apache Spark - understanding of distributed data processing architecture and execution Apache Airflow - configuring DAGs and managing task orchestration at scale Jupyter Notebooks - for exploratory data analysis and pipeline prototyping Understanding of dimensional data models and slowly changing dimensions (SCD Types 1, 2, 3) Data analysis skills to identify root cause of issues within pipelines and data assets AWS services Amazon EMR - running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring services Understanding of Server Side and client-side encryption within AWS Infrastructure, DevOps & delivery Terraform - Infrastructure as Code for provisioning and managing AWS environments Docker - containerisation of data engineering solutions GitLab - source code management, CI/CD pipeline configuration, release tagging, and component versioning Familiarity with engineering best practices Ability to translate customer expectations into applied, functional technical solutions Technology stack at a glance PythonPySparkSQLApache SparkApache AirflowJupyter NotebooksDimensional modelling/SCDAWS EMRAmazon AthenaAWS S3AWS IAMAWS CloudWatchAWS EC2/ECRAmazon TextractAmazon ComprehendTerraformDockerGitLab CI/CDGitLab Tags
About Scrumconnect Scrumconnect Consulting is a UK-based digital transformation consultancy delivering agile, secure, and scalable technology solutions for public and private sector clients. This is a fully remote role based in India, supporting UK operations and client engagements. The successful candidate will work closely with UK leadership teams and must be comfortable operating within UK regulatory, governance, and delivery frameworks. About the Role We are looking for an experienced Test Manager to lead quality assurance and testing activities within a large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . You will be responsible for defining and driving the overall testing approach across automated pipelines, data workflows, cloud infrastructure, and release delivery while managing risks, improving testing standards, and mentoring engineering teams. The ideal candidate will have strong experience in Big Data and Data Lake environments , including testing both structured and unstructured datasets, and will be comfortable operating in highly automated CI/CD-driven delivery environments. You will work closely with engineering, DevOps, architecture, and stakeholder teams to ensure quality is Embedded throughout the software delivery life cycle. Key Responsibilities Test Strategy & Leadership Define, implement, and manage the overall test strategy across cloud-native data platforms and applications Lead end-to-end testing activities across data pipelines, cloud services, APIs, and distributed systems Establish quality standards, governance processes, and testing best practices across teams Drive a quality-first engineering culture across the programme Provide leadership, mentoring, and coaching to Test Engineers and QA team members Automated Testing & Frameworks Design, implement, and oversee scalable automated test frameworks for data and application testing Build and maintain automated test suites across AWS cloud infrastructure and data workflows Enhance existing automation frameworks to improve reliability, coverage, maintainability, and reporting Ensure automated testing is fully integrated within GitLab CI/CD pipelines for rapid feedback and release confidence Big Data & Data Lake Testing Lead testing activities across Big Data and Data Lake solutions containing structured and unstructured datasets Validate large-scale data ingestion, transformation, and processing workflows Ensure data integrity, transformation accuracy, reconciliation, and performance under load Oversee PySpark-based data validation and interrogation activities on AWS EMR Support testing and monitoring of workflows orchestrated through Apache Airflow Drive root cause analysis for production data issues and platform defects Risk Management & Reporting Identify, assess, and communicate quality risks across releases and environments Analyse test execution metrics, defects, trends, and quality indicators Translate technical findings into clear, prioritised reporting for technical and non-technical stakeholders Provide regular status reporting to programme leadership and client stakeholders CI/CD & DevOps Collaborate with DevOps and engineering teams to improve release quality and deployment confidence Ensure automated test execution within GitLab CI/CD pipelines Support infrastructure testing and validation within Terraform-managed cloud environments Contribute to continuous improvement initiatives across testing and delivery processes Technology Stack Apache Airflow, Amazon Athena, AWS S3, AWS Glue, AWS EMR, AWS EC2, AWS ECR, AWS DynamoDB, AWS CloudWatch, AWS IAM, Python, SQL, Java, Bash, GitLab CI/CD, Jupyter Notebooks, Apache Spark/PySpark, Terraform, Docker Key Skills Strong proficiency in Python, SQL, Java, and Scripting languages such as Bash Hands-on experience testing Big Data platforms and Data Lake solutions Strong experience with AWS EMR, Apache Airflow, and Jupyter Notebooks Experience performing PySpark-based data interrogation, validation, and testing Strong knowledge of AWS services including S3, Glue, Athena, EMR, CloudWatch, IAM, DynamoDB, EC2, and ECR Experience designing, implementing, and managing enterprise-scale automated test frameworks Strong understanding of CI/CD practices using GitLab pipelines Experience with infrastructure-as-code tools such as Terraform Familiarity with Docker and containerised testing environments Understanding of dimensional data models and slowly changing dimensions Experience validating structured and unstructured data workflows Strong analytical and root cause analysis skills Ability to communicate technical risks clearly to stakeholders at all levels Experience leading and mentoring QA/Test Engineering teams Skills & Experience Required Proven experience as a Test Manager , Lead Test Engineer, or QA Lead within cloud and data engineering environments Strong background in automated testing for cloud-native and data-centric platforms Experience testing large-scale data pipelines, transformation processes, and distributed systems Experience managing or leading QA/testing teams in Agile delivery environments Strong stakeholder management and communication skills Experience establishing test governance, reporting, and quality metrics Strong problem-solving and decision-making capability Experience working within regulated or security-conscious delivery environments SFIA Level 5 capability - provides leadership, influences strategy, and drives quality improvements Active SC clearance (mandatory) Diversity and Inclusion At Scrumconnect Consulting, we believe diversity drives innovation and stronger outcomes for our teams and clients. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds, experiences, and perspectives.
24/07/2026
About Scrumconnect Scrumconnect Consulting is a UK-based digital transformation consultancy delivering agile, secure, and scalable technology solutions for public and private sector clients. This is a fully remote role based in India, supporting UK operations and client engagements. The successful candidate will work closely with UK leadership teams and must be comfortable operating within UK regulatory, governance, and delivery frameworks. About the Role We are looking for an experienced Test Manager to lead quality assurance and testing activities within a large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . You will be responsible for defining and driving the overall testing approach across automated pipelines, data workflows, cloud infrastructure, and release delivery while managing risks, improving testing standards, and mentoring engineering teams. The ideal candidate will have strong experience in Big Data and Data Lake environments , including testing both structured and unstructured datasets, and will be comfortable operating in highly automated CI/CD-driven delivery environments. You will work closely with engineering, DevOps, architecture, and stakeholder teams to ensure quality is Embedded throughout the software delivery life cycle. Key Responsibilities Test Strategy & Leadership Define, implement, and manage the overall test strategy across cloud-native data platforms and applications Lead end-to-end testing activities across data pipelines, cloud services, APIs, and distributed systems Establish quality standards, governance processes, and testing best practices across teams Drive a quality-first engineering culture across the programme Provide leadership, mentoring, and coaching to Test Engineers and QA team members Automated Testing & Frameworks Design, implement, and oversee scalable automated test frameworks for data and application testing Build and maintain automated test suites across AWS cloud infrastructure and data workflows Enhance existing automation frameworks to improve reliability, coverage, maintainability, and reporting Ensure automated testing is fully integrated within GitLab CI/CD pipelines for rapid feedback and release confidence Big Data & Data Lake Testing Lead testing activities across Big Data and Data Lake solutions containing structured and unstructured datasets Validate large-scale data ingestion, transformation, and processing workflows Ensure data integrity, transformation accuracy, reconciliation, and performance under load Oversee PySpark-based data validation and interrogation activities on AWS EMR Support testing and monitoring of workflows orchestrated through Apache Airflow Drive root cause analysis for production data issues and platform defects Risk Management & Reporting Identify, assess, and communicate quality risks across releases and environments Analyse test execution metrics, defects, trends, and quality indicators Translate technical findings into clear, prioritised reporting for technical and non-technical stakeholders Provide regular status reporting to programme leadership and client stakeholders CI/CD & DevOps Collaborate with DevOps and engineering teams to improve release quality and deployment confidence Ensure automated test execution within GitLab CI/CD pipelines Support infrastructure testing and validation within Terraform-managed cloud environments Contribute to continuous improvement initiatives across testing and delivery processes Technology Stack Apache Airflow, Amazon Athena, AWS S3, AWS Glue, AWS EMR, AWS EC2, AWS ECR, AWS DynamoDB, AWS CloudWatch, AWS IAM, Python, SQL, Java, Bash, GitLab CI/CD, Jupyter Notebooks, Apache Spark/PySpark, Terraform, Docker Key Skills Strong proficiency in Python, SQL, Java, and Scripting languages such as Bash Hands-on experience testing Big Data platforms and Data Lake solutions Strong experience with AWS EMR, Apache Airflow, and Jupyter Notebooks Experience performing PySpark-based data interrogation, validation, and testing Strong knowledge of AWS services including S3, Glue, Athena, EMR, CloudWatch, IAM, DynamoDB, EC2, and ECR Experience designing, implementing, and managing enterprise-scale automated test frameworks Strong understanding of CI/CD practices using GitLab pipelines Experience with infrastructure-as-code tools such as Terraform Familiarity with Docker and containerised testing environments Understanding of dimensional data models and slowly changing dimensions Experience validating structured and unstructured data workflows Strong analytical and root cause analysis skills Ability to communicate technical risks clearly to stakeholders at all levels Experience leading and mentoring QA/Test Engineering teams Skills & Experience Required Proven experience as a Test Manager , Lead Test Engineer, or QA Lead within cloud and data engineering environments Strong background in automated testing for cloud-native and data-centric platforms Experience testing large-scale data pipelines, transformation processes, and distributed systems Experience managing or leading QA/testing teams in Agile delivery environments Strong stakeholder management and communication skills Experience establishing test governance, reporting, and quality metrics Strong problem-solving and decision-making capability Experience working within regulated or security-conscious delivery environments SFIA Level 5 capability - provides leadership, influences strategy, and drives quality improvements Active SC clearance (mandatory) Diversity and Inclusion At Scrumconnect Consulting, we believe diversity drives innovation and stronger outcomes for our teams and clients. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds, experiences, and perspectives.
Software Engineer - Full Stack Engineer (Node.js / GraphQL)Applylocations: Welcome Building: Home Basedtime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 7, 2026 (17 days left to apply)job requisition id: R9482# Excited to grow your career? Our purpose is to make it easy for people to save and invest for a better future. We are looking for great people to join us, so please come and invest in YOUR future at Hargreaves Lansdown. We know that sometimes people can be put off applying for a job if they don't tick every box. If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply. We'd love to hear from you!About the role# Full Stack Engineer with a strong backend focus, working across TypeScript, Node.js, GraphQL and AWS serverless technologies. You'll help build and evolve the Discover platform, delivering scalable APIs, cloud-native services and customer journeys that support investment discovery, savings, search and account onboarding experiences. We're expanding our Discover engineering team and are looking for a Full Stack Engineer with a strong backend focus to help build and evolve one of our key customer discovery platforms. You'll work primarily on AWS serverless backend services, APIs and platform capabilities, whilst also contributing to frontend applications when required. This is an opportunity to work with modern cloud-native technologies, GraphQL-based architectures, event-driven systems and customer-facing products that play a key role in our digital experience.We're looking for engineers who enjoy solving complex technical problems, taking ownership of solutions and contributing to the continuous improvement of both technology and engineering practices.You'll help build customer journeys that enable clients to discover investment opportunities, compare savings products, search across financial instruments and complete account opening and transfer journeys. What You'll Be Doing Design, develop and maintain backend services powering the Discover platform. Build scalable APIs and integrations with internal and external systems. Develop AWS serverless applications using modern engineering practices. Contribute to platform scalability, resilience, observability and performance. Work across the full stack where required, collaborating closely with frontend engineers. Take ownership of features and issues from design through to production. Support CI/CD pipelines and deployment processes. Drive engineering improvements, automation and operational excellence. Participate in architecture discussions, code reviews and technical design sessions. Collaborate closely with Product, Platform and Engineering teams to deliver customer value. What We're Looking For Strong ownership mentality. Ability to solve problems independently. Comfortable working within distributed systems and cloud-native environments. Strong communication and collaboration skills. Passion for building scalable cloud-native applications. Curiosity and willingness to learn across the full stack. A proactive approach to identifying technical improvements and opportunities for innovation. Required Skills & Experience Backend Engineering Node.js TypeScript REST API development API integrations AWS Lambda API Gateway Event-driven architectures Middleware frameworks such as Middy JSON data processing GraphQLWe see GraphQL as an increasingly important part of our future architecture and would particularly welcome candidates with experience in: Designing and implementing GraphQL APIs GraphQL schema design GraphQL federation patterns Transitioning from REST-based architectures to GraphQL Consuming GraphQL services within distributed systems Cloud & Infrastructure AWS Infrastructure as Code (Terraform, CDK, SST or similar) DynamoDB SNS / SQS Familiarity with core AWS services including IAM, Secrets Manager and Parameter Store Experience working with CI/CD pipelines and modern software delivery practices Full Stack Experience Experience working across frontend and backend technologies React and TypeScript exposure Building customer-facing web applications Desirable Skills Search & Content Platforms Typesense Elasticsearch Contentful or other Headless CMS platforms Modern Engineering Tooling LaunchDarkly or feature flagging platforms OAuth and authentication flows Cross-account AWS patterns Analytics integration Experience with observability tooling such as Grafana Frontend Technologies TanStack Query Zustand Vite Micro-frontend architectures (e.g. Module Federation) Tailwind CSS Nice to Have PHP Experience integrating with or supporting PHP-based applications and services Financial Services experienceYou'll be comfortable taking ownership of features from design through to production, collaborating across engineering disciplines, and proactively identifying opportunities to improve both the platform and the way we work.You'll contribute to the evolution of Discover by delivering reliable, scalable solutions, supporting a culture of engineering excellence, and helping to shape a platform that serves millions of customer interactions. Why us? Here at HL, we're the UK's number 1 investment platform for private investors, based in Bristol. For more than 40 years we've helped investors save time, tax and money on their investments.To achieve our mission, we believe we have a workplace like no other, with constant learning, dynamic teams, and a great ethos. We're steered by core values that promote service, quality, innovation, and opportunity in everything we do. What's on offer? Discretionary annual bonus and annual pay review 25 days holiday plus bank holidays and 1-day additional Christmas closure Option to purchase an additional 5 days holiday Flexible working options available, including hybrid working Enhanced parental leave Pension scheme up to 11% employer contribution Income Protection and Life insurance (4 x salary core level of cover) Private medical insurance Health care cash plans - including optical, dental, and outpatient care Health screening programme - confidential support including mental health counselling and remote GP Wellhub - unlimited access to fitness providers and wellness coach sessions Variety of travel to work schemes with bike storage and shower facilities Inhouse barista and deli serving subsidised coffee and sandwiches Two paid volunteering days per year dependant on role level only available to select during our annual benefits window, in November each year Hargreaves Lansdown is an inclusive employer that values diversity in its workforce. We encourage applications from all individuals without regard to race, religion, gender, sexual orientation, national origin, disability or age. This role may also be available on a flexible working or part time basis - please ask the Recruitment & Onboarding team for more information. Please note, we are unable to provide employment sponsorship to candidates.
24/07/2026
Full time
Software Engineer - Full Stack Engineer (Node.js / GraphQL)Applylocations: Welcome Building: Home Basedtime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 7, 2026 (17 days left to apply)job requisition id: R9482# Excited to grow your career? Our purpose is to make it easy for people to save and invest for a better future. We are looking for great people to join us, so please come and invest in YOUR future at Hargreaves Lansdown. We know that sometimes people can be put off applying for a job if they don't tick every box. If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply. We'd love to hear from you!About the role# Full Stack Engineer with a strong backend focus, working across TypeScript, Node.js, GraphQL and AWS serverless technologies. You'll help build and evolve the Discover platform, delivering scalable APIs, cloud-native services and customer journeys that support investment discovery, savings, search and account onboarding experiences. We're expanding our Discover engineering team and are looking for a Full Stack Engineer with a strong backend focus to help build and evolve one of our key customer discovery platforms. You'll work primarily on AWS serverless backend services, APIs and platform capabilities, whilst also contributing to frontend applications when required. This is an opportunity to work with modern cloud-native technologies, GraphQL-based architectures, event-driven systems and customer-facing products that play a key role in our digital experience.We're looking for engineers who enjoy solving complex technical problems, taking ownership of solutions and contributing to the continuous improvement of both technology and engineering practices.You'll help build customer journeys that enable clients to discover investment opportunities, compare savings products, search across financial instruments and complete account opening and transfer journeys. What You'll Be Doing Design, develop and maintain backend services powering the Discover platform. Build scalable APIs and integrations with internal and external systems. Develop AWS serverless applications using modern engineering practices. Contribute to platform scalability, resilience, observability and performance. Work across the full stack where required, collaborating closely with frontend engineers. Take ownership of features and issues from design through to production. Support CI/CD pipelines and deployment processes. Drive engineering improvements, automation and operational excellence. Participate in architecture discussions, code reviews and technical design sessions. Collaborate closely with Product, Platform and Engineering teams to deliver customer value. What We're Looking For Strong ownership mentality. Ability to solve problems independently. Comfortable working within distributed systems and cloud-native environments. Strong communication and collaboration skills. Passion for building scalable cloud-native applications. Curiosity and willingness to learn across the full stack. A proactive approach to identifying technical improvements and opportunities for innovation. Required Skills & Experience Backend Engineering Node.js TypeScript REST API development API integrations AWS Lambda API Gateway Event-driven architectures Middleware frameworks such as Middy JSON data processing GraphQLWe see GraphQL as an increasingly important part of our future architecture and would particularly welcome candidates with experience in: Designing and implementing GraphQL APIs GraphQL schema design GraphQL federation patterns Transitioning from REST-based architectures to GraphQL Consuming GraphQL services within distributed systems Cloud & Infrastructure AWS Infrastructure as Code (Terraform, CDK, SST or similar) DynamoDB SNS / SQS Familiarity with core AWS services including IAM, Secrets Manager and Parameter Store Experience working with CI/CD pipelines and modern software delivery practices Full Stack Experience Experience working across frontend and backend technologies React and TypeScript exposure Building customer-facing web applications Desirable Skills Search & Content Platforms Typesense Elasticsearch Contentful or other Headless CMS platforms Modern Engineering Tooling LaunchDarkly or feature flagging platforms OAuth and authentication flows Cross-account AWS patterns Analytics integration Experience with observability tooling such as Grafana Frontend Technologies TanStack Query Zustand Vite Micro-frontend architectures (e.g. Module Federation) Tailwind CSS Nice to Have PHP Experience integrating with or supporting PHP-based applications and services Financial Services experienceYou'll be comfortable taking ownership of features from design through to production, collaborating across engineering disciplines, and proactively identifying opportunities to improve both the platform and the way we work.You'll contribute to the evolution of Discover by delivering reliable, scalable solutions, supporting a culture of engineering excellence, and helping to shape a platform that serves millions of customer interactions. Why us? Here at HL, we're the UK's number 1 investment platform for private investors, based in Bristol. For more than 40 years we've helped investors save time, tax and money on their investments.To achieve our mission, we believe we have a workplace like no other, with constant learning, dynamic teams, and a great ethos. We're steered by core values that promote service, quality, innovation, and opportunity in everything we do. What's on offer? Discretionary annual bonus and annual pay review 25 days holiday plus bank holidays and 1-day additional Christmas closure Option to purchase an additional 5 days holiday Flexible working options available, including hybrid working Enhanced parental leave Pension scheme up to 11% employer contribution Income Protection and Life insurance (4 x salary core level of cover) Private medical insurance Health care cash plans - including optical, dental, and outpatient care Health screening programme - confidential support including mental health counselling and remote GP Wellhub - unlimited access to fitness providers and wellness coach sessions Variety of travel to work schemes with bike storage and shower facilities Inhouse barista and deli serving subsidised coffee and sandwiches Two paid volunteering days per year dependant on role level only available to select during our annual benefits window, in November each year Hargreaves Lansdown is an inclusive employer that values diversity in its workforce. We encourage applications from all individuals without regard to race, religion, gender, sexual orientation, national origin, disability or age. This role may also be available on a flexible working or part time basis - please ask the Recruitment & Onboarding team for more information. Please note, we are unable to provide employment sponsorship to candidates.
