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
Location Location: UK, Europe & Africa : UK : Manchester BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Description As an AWS Solution Architect you will be working with our customers to define and architect the functional blocks of AWS to support their Cloud adoption journey and beyond. This is a key role working closely with the customer. You will elicit customer requirements for cloud adoption and Cloud-native architectures, understanding the current eco system and how the cloud migration will fit into this. The role will define patterns and services that are required for a successful migration to AWS, and assurance that the migration is well architected. A key aspect of the role will be to endorse, support and maintain re-usable patterns for migration that will be built by the teams, utilising infrastructure as code so that future deployments can be delivered through automation and code reuse. It's an amazing time to join our team to help shape our customer's exciting cloud adoption journey. Not only will your team be directly making a huge impact upon the systems you work on, you'll be doing it for an organisation who makes a huge impact to the security of the UK. Core Duties Take on the technical lead role in migration enablement work. Work with the community of development teams, to deliver migration services using common code, standards and artefact format and proactively drive collaboration, particularly where there are service dependencies Define and document AWS architecture for migration (baseline, target, roadmap, patterns, standards, reference architectures, etc), supporting a wide range of use cases Run architectural reviews of the platform at appropriate intervals to take best advantage of vendor technologies Pro-actively define, optimize, automate, publish and communicate deployment patterns for migration Support engineering teams in optimizing the migration path Escalation point for engineering teams in troubleshooting and incident management Driving the adoption of automation in the platform, using common methods with other platforms Documentation of deployed systems, scripts and other working practices to enable, re-use and support users across the world About you You will have experience in many of the following: Cloud Migration experience Experience in Cloud Platform Architecture with AWS, defining cloud reference Architectures and Cloud Patterns in a large multi-account AWS estate Plenty of experience in AWS and experience in solving complex business issues. Regarded as an AWS subject matter expert Experience with various DevOps tools and CI/CD tools Experience in AWS Security services and Network Services Experience with working within an Agile framework Good understanding of AWS security concepts and the goals of cyber security Good communication skills both verbal and written Motivating the team to use new tools to improve efficiency and breaking barriers to set new standards. It would be great if you also had experience in some of these, but if not we'll help you with them Industry certifications such as AWS Certified Solutions Architect Associate or Professional, AWS Speciality domains (Security, Advanced Networking) A scaled agile framework certification, such as SAFe or Managing stakeholders, including users and management Mentoring junior engineers and nurturing their passion for engineering Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working As many of our customers work predominantly in the office, we expect all of our staff to work at least 3 days per week in the office You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE You'll be part of our company bonus scheme You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing About our team Our people are what differentiates us; they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020 we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We're a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You'll get to work on a variety of different systems for different customers throughout your career with us. We're passionate about Diversity and Inclusion in our workforce and the people you'll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK and EMEA. For more information please visit our website: Help us secure a connected world. Apply now and be inspired. Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential.
24/07/2026
Full time
Location Location: UK, Europe & Africa : UK : Manchester BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Description As an AWS Solution Architect you will be working with our customers to define and architect the functional blocks of AWS to support their Cloud adoption journey and beyond. This is a key role working closely with the customer. You will elicit customer requirements for cloud adoption and Cloud-native architectures, understanding the current eco system and how the cloud migration will fit into this. The role will define patterns and services that are required for a successful migration to AWS, and assurance that the migration is well architected. A key aspect of the role will be to endorse, support and maintain re-usable patterns for migration that will be built by the teams, utilising infrastructure as code so that future deployments can be delivered through automation and code reuse. It's an amazing time to join our team to help shape our customer's exciting cloud adoption journey. Not only will your team be directly making a huge impact upon the systems you work on, you'll be doing it for an organisation who makes a huge impact to the security of the UK. Core Duties Take on the technical lead role in migration enablement work. Work with the community of development teams, to deliver migration services using common code, standards and artefact format and proactively drive collaboration, particularly where there are service dependencies Define and document AWS architecture for migration (baseline, target, roadmap, patterns, standards, reference architectures, etc), supporting a wide range of use cases Run architectural reviews of the platform at appropriate intervals to take best advantage of vendor technologies Pro-actively define, optimize, automate, publish and communicate deployment patterns for migration Support engineering teams in optimizing the migration path Escalation point for engineering teams in troubleshooting and incident management Driving the adoption of automation in the platform, using common methods with other platforms Documentation of deployed systems, scripts and other working practices to enable, re-use and support users across the world About you You will have experience in many of the following: Cloud Migration experience Experience in Cloud Platform Architecture with AWS, defining cloud reference Architectures and Cloud Patterns in a large multi-account AWS estate Plenty of experience in AWS and experience in solving complex business issues. Regarded as an AWS subject matter expert Experience with various DevOps tools and CI/CD tools Experience in AWS Security services and Network Services Experience with working within an Agile framework Good understanding of AWS security concepts and the goals of cyber security Good communication skills both verbal and written Motivating the team to use new tools to improve efficiency and breaking barriers to set new standards. It would be great if you also had experience in some of these, but if not we'll help you with them Industry certifications such as AWS Certified Solutions Architect Associate or Professional, AWS Speciality domains (Security, Advanced Networking) A scaled agile framework certification, such as SAFe or Managing stakeholders, including users and management Mentoring junior engineers and nurturing their passion for engineering Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working As many of our customers work predominantly in the office, we expect all of our staff to work at least 3 days per week in the office You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE You'll be part of our company bonus scheme You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing About our team Our people are what differentiates us; they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020 we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We're a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You'll get to work on a variety of different systems for different customers throughout your career with us. We're passionate about Diversity and Inclusion in our workforce and the people you'll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK and EMEA. For more information please visit our website: Help us secure a connected world. Apply now and be inspired. Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential.
Description We're looking for a highly skilled Forward Deployed AI Engineer to join our Health, Wealth & Career (HWC) segment-where you'll design and deliver cutting edge AI solutions that solve complex, real world business challenges and shape the future of work. This is a hands on, high impact role where you'll move beyond traditional development-partnering closely with stakeholders to translate ambiguous needs into scalable, AI powered solutions that drive measurable value. You'll own the full lifecycle-from architecture and build through to deployment and adoption-embedding AI into real workflows, integrating enterprise systems, and ensuring solutions are secure, reliable, and truly user centric. Sitting close to the business, you'll continuously refine solutions to maximise impact, efficiency, and adoption. Why join us? At WTW, you'll be part of our Health, Wealth & Career (HWC) segment-where we use data, technology, and deep expertise to shape the future of work. You'll collaborate across multiple lines of business-such as Retirement, Health & Benefits, and Workforce Strategy-gaining exposure to diverse challenges and opportunities. As the role evolves, you'll also help deliver innovative, AI driven solutions directly to external clients, turning complex problems into scalable outcomes. Together, we're creating more resilient, high performing organizations-enhancing wellbeing, enabling better decisions, and driving sustainable business success at scale. This is a hybrid role, with the flexibility of remote working alongside occasional time in the office to build strong relationships and collaborate effectively with stakeholders. The Role This position is ideal for an experienced Solutions Architect, Staff Engineer, or Technical Lead with a strong enterprise engineering background and a passion for applying it to AI enabled systems. You'll bring deep expertise across modern full stack technologies (.NET, Azure, SQL, React/Angular), along with experience in distributed systems, observability, and AI tooling such as LLMs, retrieval pipelines, and agentic workflows. Acting as a bridge between business and technology, you'll work across product, data science, architecture, and engineering teams-mentoring others, resolving production challenges, and scaling prototypes into robust, enterprise grade solutions that deliver real impact. AI solution delivery: Design and build AI enabled applications, copilots, agents, extraction pipelines, prediction interfaces, and decision support tools using foundation models, retrieval augmented generation, structured outputs, and orchestration frameworks. Forward deployed problem solving: Work directly with business teams, product owners, clients, or operational users to understand real workflows, constraints, data quality issues, and adoption barriers, then translate these into working technical solutions. LLM and agent engineering: Build and tune LLM workflows, prompt strategies, schema driven extraction, tool calling patterns, agent orchestration, evaluation loops, and human in the loop controls. Enterprise integration: Integrate AI solutions with enterprise systems, APIs, data platforms, document repositories, workflow tools, observability platforms, and identity and access management services. Production engineering: Ensure AI solutions meet enterprise standards for reliability, scalability, latency, maintainability, cost control, logging, monitoring, and operational support. Evaluation and quality assurance: Create evaluation datasets, test harnesses, validation tools, regression checks, and quality review workflows to measure accuracy, extraction quality, hallucination risk, and business usefulness. Architecture and technical leadership: Define solution architecture, engineering standards, reusable patterns, and implementation approaches for AI enabled platforms and services. Data and knowledge readiness: Work with engineering, data, and business teams to prepare structured and unstructured data, improve metadata, design retrieval strategies, and identify gaps in source content. Security, privacy, and governance: Embed access controls, audit logging, data protection, responsible AI controls, security review, and compliance requirements into the AI delivery lifecycle. Adoption and enablement: Support users through demos, pilots, training, feedback loops, documentation, and iterative improvement so that deployed AI solutions create measurable business value. Qualifications What you'll bring Significant professional experience in software engineering, technical leadership, solutions architecture, or platform engineering, ideally in enterprise scale environments. Proven ability to design and deliver production applications using modern engineering practices, including APIs, distributed systems, microservices, automated testing, CI/CD, observability, and cloud platforms. Hands on experience building AI enabled systems, such as LLM pipelines, document extraction, structured output generation, AI assisted analytics, prediction interfaces, or agentic workflows. Experience working with business critical systems where reliability, maintainability, operational support, and measurable business impact are essential. Experience collaborating with data scientists, product managers, QA teams, architects, security teams, and senior stakeholders. Track record of mentoring engineers, leading technical delivery, establishing engineering standards, and influencing teams beyond direct line management. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle to work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email
22/07/2026
Full time
Description We're looking for a highly skilled Forward Deployed AI Engineer to join our Health, Wealth & Career (HWC) segment-where you'll design and deliver cutting edge AI solutions that solve complex, real world business challenges and shape the future of work. This is a hands on, high impact role where you'll move beyond traditional development-partnering closely with stakeholders to translate ambiguous needs into scalable, AI powered solutions that drive measurable value. You'll own the full lifecycle-from architecture and build through to deployment and adoption-embedding AI into real workflows, integrating enterprise systems, and ensuring solutions are secure, reliable, and truly user centric. Sitting close to the business, you'll continuously refine solutions to maximise impact, efficiency, and adoption. Why join us? At WTW, you'll be part of our Health, Wealth & Career (HWC) segment-where we use data, technology, and deep expertise to shape the future of work. You'll collaborate across multiple lines of business-such as Retirement, Health & Benefits, and Workforce Strategy-gaining exposure to diverse challenges and opportunities. As the role evolves, you'll also help deliver innovative, AI driven solutions directly to external clients, turning complex problems into scalable outcomes. Together, we're creating more resilient, high performing organizations-enhancing wellbeing, enabling better decisions, and driving sustainable business success at scale. This is a hybrid role, with the flexibility of remote working alongside occasional time in the office to build strong relationships and collaborate effectively with stakeholders. The Role This position is ideal for an experienced Solutions Architect, Staff Engineer, or Technical Lead with a strong enterprise engineering background and a passion for applying it to AI enabled systems. You'll bring deep expertise across modern full stack technologies (.NET, Azure, SQL, React/Angular), along with experience in distributed systems, observability, and AI tooling such as LLMs, retrieval pipelines, and agentic workflows. Acting as a bridge between business and technology, you'll work across product, data science, architecture, and engineering teams-mentoring others, resolving production challenges, and scaling prototypes into robust, enterprise grade solutions that deliver real impact. AI solution delivery: Design and build AI enabled applications, copilots, agents, extraction pipelines, prediction interfaces, and decision support tools using foundation models, retrieval augmented generation, structured outputs, and orchestration frameworks. Forward deployed problem solving: Work directly with business teams, product owners, clients, or operational users to understand real workflows, constraints, data quality issues, and adoption barriers, then translate these into working technical solutions. LLM and agent engineering: Build and tune LLM workflows, prompt strategies, schema driven extraction, tool calling patterns, agent orchestration, evaluation loops, and human in the loop controls. Enterprise integration: Integrate AI solutions with enterprise systems, APIs, data platforms, document repositories, workflow tools, observability platforms, and identity and access management services. Production engineering: Ensure AI solutions meet enterprise standards for reliability, scalability, latency, maintainability, cost control, logging, monitoring, and operational support. Evaluation and quality assurance: Create evaluation datasets, test harnesses, validation tools, regression checks, and quality review workflows to measure accuracy, extraction quality, hallucination risk, and business usefulness. Architecture and technical leadership: Define solution architecture, engineering standards, reusable patterns, and implementation approaches for AI enabled platforms and services. Data and knowledge readiness: Work with engineering, data, and business teams to prepare structured and unstructured data, improve metadata, design retrieval strategies, and identify gaps in source content. Security, privacy, and governance: Embed access controls, audit logging, data protection, responsible AI controls, security review, and compliance requirements into the AI delivery lifecycle. Adoption and enablement: Support users through demos, pilots, training, feedback loops, documentation, and iterative improvement so that deployed AI solutions create measurable business value. Qualifications What you'll bring Significant professional experience in software engineering, technical leadership, solutions architecture, or platform engineering, ideally in enterprise scale environments. Proven ability to design and deliver production applications using modern engineering practices, including APIs, distributed systems, microservices, automated testing, CI/CD, observability, and cloud platforms. Hands on experience building AI enabled systems, such as LLM pipelines, document extraction, structured output generation, AI assisted analytics, prediction interfaces, or agentic workflows. Experience working with business critical systems where reliability, maintainability, operational support, and measurable business impact are essential. Experience collaborating with data scientists, product managers, QA teams, architects, security teams, and senior stakeholders. Track record of mentoring engineers, leading technical delivery, establishing engineering standards, and influencing teams beyond direct line management. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle to work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email
Architecture Lead on Equipment ManagementApplylocations: Filton: Toulouse Areatime type: Full timeposted on: Posted Todayjob requisition id: JR Job Description: Job Description: SECURITY CLEARANCE: You will be subject to BPSS and Export Control checks (including a criminal record check) LOCATION: Filton, Bristol TYPE: Full time Do you want to define the future strategy for Product Data Management and steer a major digital transformation at the heart of Airbus? Airbus is looking for an experienced Architecture Lead on Equipment Management to join our team. WHATS IN IT FOR YOU: Financial rewards : Attractive salary, agreements on success and profit sharing schemes, employee savings plan abounded by Airbus and employee stock purchase plan on a voluntary basis. Work / Life Balance : Extra days-off for special occasions, holiday transfer option, a Staff council offering many social, cultural and sport activities and other services. Individual developmen t: Great upskilling opportunities and development prospects with unlimited access to .000 e-learning courses to develop your employability, certifications, expert career path, accelerated development programmes, national and international mobility. Family and Caregiving: Life assurance, enhanced pay for parental leave (23 weeks at 100% pay), adoption / shared parental / caregiving leave, purpose built maternity rooms on site Inclusive Environment: Wellbeing room, Multi-faith room, Employee Representative Groups (Gender, LGBTQ+, International, Generational, Disability, Social & Cultural Diversity, Neurodiversity)As an Architecture Lead, you will be joining the DPPP (Product Data Management ) organization, the digital heart of the Airbus Develop organization. We provide the "nervous system" that manages the entire lifecycle of aircraft technical data, from conceptualization to decommissioning. Our mission is to deliver a harmonized set of IT tools to ensure a "Single Source of Truth" for the development of all Airbus aircraft, supporting over 10,000 users across Engineering, Manufacturing, and Customer Services for iconic programs like the A320 family, A350, and A400M.You will be part of a transnational team (France, Spain, UK, Germany, and India) that is currently modernizing legacy systems into cloud-native, micro-service and sovereign architecture and defining future solutions for our next generation of aircraft programs. HOW YOU WILL CONTRIBUTE TO THE TEAM: As the leader of the Architecture for Equipment Model Management (EMM), you will play an essential role in defining and delivering the next generation of our Product Data Management (PDM) solutions. Define and drive the future end-to-end strategy and roadmap for Equipment Model Management (EMM), ensuring alignment with the overall Open PLM platform and Airbus' digital landscape. Validate the design of the new EMM product , ensuring it meets all technical requirements and business needs, and prepares the organisation for future aircraft programs. Collaborate with other Architects, system analysts, and developers to deliver high-quality solutions based on innovative technologies. Drive the unification of fragmented processes and tools across all programs (A320, A350, A400M, etc.) towards a single, Open PLM-based solution. Provide expertise on business processes, function improvement, and technology enablement for aligning with the architecture strategy. ABOUT YOU: We are looking for a pragmatic leader with a proven track record in architecting complex data systems who would like to be part of the definition of the future PDM solution based on Open Technology standards. Proven Impact: Extensive experience in Business Analysis, Functional Architecture, or Product Leadership within a complex industrial PDM/PLM ecosystem (Aerospace, Automotive, or heavy engineering preferred). Domain Mastery: Deep, unshakeable knowledge of Equipment Model Management, alongside a strong track record handling BOM, Configuration Management, and 3D data integration. Pragmatic Leadership: A leadership style that values execution over perfection, able to navigate smoothly between long-term vision and daily implementation realities. Exceptional Communication: Fluent in English, with the unique ability to make highly complex technical concepts simple, engaging, and actionable for diverse stakeholders. Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions. HOW WE CAN SUPPORT YOU: Many of our staff work flexibly in many different ways, including part-time. Please talk to us at interview about the flexibility you need and we'll always do our best to accommodate your request. Please let us know if you need us to make any adjustments for the selection process - you can share this with your Talent Acquisition Partner if you are invited to interview. Examples may include (but not exclusive to) accessible facilities; auxiliary aids; room layout, etc. Any information disclosed will be treated in the strictest confidence.As a Disability Confident Employer, Airbus UK will offer an interview to any applicant that considers themselves to have a disability or long-term condition under the Equality Act 2010 and meets the minimum criteria of the role (as set out in the job advert). To 'opt in', just select the option during your application submission and your application will be considered accordingly.This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. Company: Airbus Operations Limited Employment Type: Permanent - Experience Level: Professional Job Family: Digital By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
12/07/2026
Full time
Architecture Lead on Equipment ManagementApplylocations: Filton: Toulouse Areatime type: Full timeposted on: Posted Todayjob requisition id: JR Job Description: Job Description: SECURITY CLEARANCE: You will be subject to BPSS and Export Control checks (including a criminal record check) LOCATION: Filton, Bristol TYPE: Full time Do you want to define the future strategy for Product Data Management and steer a major digital transformation at the heart of Airbus? Airbus is looking for an experienced Architecture Lead on Equipment Management to join our team. WHATS IN IT FOR YOU: Financial rewards : Attractive salary, agreements on success and profit sharing schemes, employee savings plan abounded by Airbus and employee stock purchase plan on a voluntary basis. Work / Life Balance : Extra days-off for special occasions, holiday transfer option, a Staff council offering many social, cultural and sport activities and other services. Individual developmen t: Great upskilling opportunities and development prospects with unlimited access to .000 e-learning courses to develop your employability, certifications, expert career path, accelerated development programmes, national and international mobility. Family and Caregiving: Life assurance, enhanced pay for parental leave (23 weeks at 100% pay), adoption / shared parental / caregiving leave, purpose built maternity rooms on site Inclusive Environment: Wellbeing room, Multi-faith room, Employee Representative Groups (Gender, LGBTQ+, International, Generational, Disability, Social & Cultural Diversity, Neurodiversity)As an Architecture Lead, you will be joining the DPPP (Product Data Management ) organization, the digital heart of the Airbus Develop organization. We provide the "nervous system" that manages the entire lifecycle of aircraft technical data, from conceptualization to decommissioning. Our mission is to deliver a harmonized set of IT tools to ensure a "Single Source of Truth" for the development of all Airbus aircraft, supporting over 10,000 users across Engineering, Manufacturing, and Customer Services for iconic programs like the A320 family, A350, and A400M.You will be part of a transnational team (France, Spain, UK, Germany, and India) that is currently modernizing legacy systems into cloud-native, micro-service and sovereign architecture and defining future solutions for our next generation of aircraft programs. HOW YOU WILL CONTRIBUTE TO THE TEAM: As the leader of the Architecture for Equipment Model Management (EMM), you will play an essential role in defining and delivering the next generation of our Product Data Management (PDM) solutions. Define and drive the future end-to-end strategy and roadmap for Equipment Model Management (EMM), ensuring alignment with the overall Open PLM platform and Airbus' digital landscape. Validate the design of the new EMM product , ensuring it meets all technical requirements and business needs, and prepares the organisation for future aircraft programs. Collaborate with other Architects, system analysts, and developers to deliver high-quality solutions based on innovative technologies. Drive the unification of fragmented processes and tools across all programs (A320, A350, A400M, etc.) towards a single, Open PLM-based solution. Provide expertise on business processes, function improvement, and technology enablement for aligning with the architecture strategy. ABOUT YOU: We are looking for a pragmatic leader with a proven track record in architecting complex data systems who would like to be part of the definition of the future PDM solution based on Open Technology standards. Proven Impact: Extensive experience in Business Analysis, Functional Architecture, or Product Leadership within a complex industrial PDM/PLM ecosystem (Aerospace, Automotive, or heavy engineering preferred). Domain Mastery: Deep, unshakeable knowledge of Equipment Model Management, alongside a strong track record handling BOM, Configuration Management, and 3D data integration. Pragmatic Leadership: A leadership style that values execution over perfection, able to navigate smoothly between long-term vision and daily implementation realities. Exceptional Communication: Fluent in English, with the unique ability to make highly complex technical concepts simple, engaging, and actionable for diverse stakeholders. Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions. HOW WE CAN SUPPORT YOU: Many of our staff work flexibly in many different ways, including part-time. Please talk to us at interview about the flexibility you need and we'll always do our best to accommodate your request. Please let us know if you need us to make any adjustments for the selection process - you can share this with your Talent Acquisition Partner if you are invited to interview. Examples may include (but not exclusive to) accessible facilities; auxiliary aids; room layout, etc. Any information disclosed will be treated in the strictest confidence.As a Disability Confident Employer, Airbus UK will offer an interview to any applicant that considers themselves to have a disability or long-term condition under the Equality Act 2010 and meets the minimum criteria of the role (as set out in the job advert). To 'opt in', just select the option during your application submission and your application will be considered accordingly.This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. Company: Airbus Operations Limited Employment Type: Permanent - Experience Level: Professional Job Family: Digital By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
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
12/07/2026
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
Ipsos is recruiting a Data Engineer to help drive the technical evolution of our Audience Measurement data platforms. Joining a wider group of engineering leaders, you will work as part of a team championing an architecture rooted in managed cloud services, cost-conscious design, and incremental improvement. You will work closely with internal teams to Develop robust scalable data pipelines and optimise data storage solutions on GCP. What is in it for you? This is a fantastic opportunity for a mid-career / level person to work ontechnologies chosen intentionally, favouring proven tools that reduce cognitive load and maximise team velocity. Our core ecosystem revolves around: Modern Python for backend services and data processing. Cloud-native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers. Event buses and messaging queues for asynchronous, decoupled processing. Infrastructure as Code (Pulumi/Terraform) and containerized deployments. The role As a Data Engineer, you will work in the team to guide the platform's evolution toward serverless, event-driven patterns, moving away from container-orchestrated workflows toward managed cloud services. Platform Operations: Develop robust scalable data pipelines and optimise data storage solutions on GCP. Implement ETL processes and CI/CD pipelines to ensure clean, structured data ready for use. Work with data scientists to integrate synthetic models into production environments and provide the guardrails and advice as they develop. Provide technical support, troubleshoot issues, and research new technologies to enhance capabilities. Document pipelines and the platform including architectures and user guides,helping to enforce data management standards. Engage in DataOps practices and improve data delivery performance. Data Science & Analytics Enablement:Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration. Agile Delivery:Work within an agile framework. Participate in agile ceremonies and provide occasional client interaction. Team Working / Stakeholder Engagement: Provide technical advice and guidance for internal teams and occasionally clients. Explain complex technical solutions to non-technical audiences. Continuous Improvement: Foster a culture of incremental improvement. Vision and Strategy: Support the architectural as set out by the Lead Data Engineer. About you: To be successful in this role, your technical skills should be matched by a pragmatic approach. Extensive Data Engineering Experience: A proven track record of building robust scalable data pipelines using modern cloud providers (Ideally GCP). Strong Programming Skills: Expert-level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts. Serverless & Event-Driven Expertise: Experience with, or strong interest in, decomposing workloads into independent steps orchestrated by managed workflow services and triggered by data events. Migration & Testing Experience: Experience with safely modernizing legacy systems using parity testing and incremental routing patterns. IaC & Containerization: Hands-on experience packaging runtimes into portable containers and provisioning cloud resources using modern Infrastructure as Code tools. Team working / Collaboration: Experience of working with wider teams of Product Managers, Data Scientists, Engineers and non technical staff. We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process. About Us Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!
11/07/2026
Full time
Ipsos is recruiting a Data Engineer to help drive the technical evolution of our Audience Measurement data platforms. Joining a wider group of engineering leaders, you will work as part of a team championing an architecture rooted in managed cloud services, cost-conscious design, and incremental improvement. You will work closely with internal teams to Develop robust scalable data pipelines and optimise data storage solutions on GCP. What is in it for you? This is a fantastic opportunity for a mid-career / level person to work ontechnologies chosen intentionally, favouring proven tools that reduce cognitive load and maximise team velocity. Our core ecosystem revolves around: Modern Python for backend services and data processing. Cloud-native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers. Event buses and messaging queues for asynchronous, decoupled processing. Infrastructure as Code (Pulumi/Terraform) and containerized deployments. The role As a Data Engineer, you will work in the team to guide the platform's evolution toward serverless, event-driven patterns, moving away from container-orchestrated workflows toward managed cloud services. Platform Operations: Develop robust scalable data pipelines and optimise data storage solutions on GCP. Implement ETL processes and CI/CD pipelines to ensure clean, structured data ready for use. Work with data scientists to integrate synthetic models into production environments and provide the guardrails and advice as they develop. Provide technical support, troubleshoot issues, and research new technologies to enhance capabilities. Document pipelines and the platform including architectures and user guides,helping to enforce data management standards. Engage in DataOps practices and improve data delivery performance. Data Science & Analytics Enablement:Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration. Agile Delivery:Work within an agile framework. Participate in agile ceremonies and provide occasional client interaction. Team Working / Stakeholder Engagement: Provide technical advice and guidance for internal teams and occasionally clients. Explain complex technical solutions to non-technical audiences. Continuous Improvement: Foster a culture of incremental improvement. Vision and Strategy: Support the architectural as set out by the Lead Data Engineer. About you: To be successful in this role, your technical skills should be matched by a pragmatic approach. Extensive Data Engineering Experience: A proven track record of building robust scalable data pipelines using modern cloud providers (Ideally GCP). Strong Programming Skills: Expert-level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts. Serverless & Event-Driven Expertise: Experience with, or strong interest in, decomposing workloads into independent steps orchestrated by managed workflow services and triggered by data events. Migration & Testing Experience: Experience with safely modernizing legacy systems using parity testing and incremental routing patterns. IaC & Containerization: Hands-on experience packaging runtimes into portable containers and provisioning cloud resources using modern Infrastructure as Code tools. Team working / Collaboration: Experience of working with wider teams of Product Managers, Data Scientists, Engineers and non technical staff. We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process. About Us Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!
Ipsos is recruiting a Data Engineer to help drive the technical evolution of our Audience Measurement data platforms. Joining a wider group of engineering leaders, you will work as part of a team championing an architecture rooted in managed cloud services, cost-conscious design, and incremental improvement. You will work closely with internal teams to Develop robust scalable data pipelines and optimise data storage solutions on GCP. What is in it for you? This is a fantastic opportunity for a mid-career / level person to work ontechnologies chosen intentionally, favouring proven tools that reduce cognitive load and maximise team velocity. Our core ecosystem revolves around: Modern Python for backend services and data processing. Cloud-native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers. Event buses and messaging queues for asynchronous, decoupled processing. Infrastructure as Code (Pulumi/Terraform) and containerized deployments. The role As a Data Engineer, you will work in the team to guide the platform's evolution toward serverless, event-driven patterns, moving away from container-orchestrated workflows toward managed cloud services. Platform Operations: Develop robust scalable data pipelines and optimise data storage solutions on GCP. Implement ETL processes and CI/CD pipelines to ensure clean, structured data ready for use. Work with data scientists to integrate synthetic models into production environments and provide the guardrails and advice as they develop. Provide technical support, troubleshoot issues, and research new technologies to enhance capabilities. Document pipelines and the platform including architectures and user guides,helping to enforce data management standards. Engage in DataOps practices and improve data delivery performance. Data Science & Analytics Enablement:Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration. Agile Delivery:Work within an agile framework. Participate in agile ceremonies and provide occasional client interaction. Team Working / Stakeholder Engagement: Provide technical advice and guidance for internal teams and occasionally clients. Explain complex technical solutions to non-technical audiences. Continuous Improvement: Foster a culture of incremental improvement. Vision and Strategy: Support the architectural as set out by the Lead Data Engineer. About you: To be successful in this role, your technical skills should be matched by a pragmatic approach. Extensive Data Engineering Experience: A proven track record of building robust scalable data pipelines using modern cloud providers (Ideally GCP). Strong Programming Skills: Expert-level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts. Serverless & Event-Driven Expertise: Experience with, or strong interest in, decomposing workloads into independent steps orchestrated by managed workflow services and triggered by data events. Migration & Testing Experience: Experience with safely modernizing legacy systems using parity testing and incremental routing patterns. IaC & Containerization: Hands-on experience packaging runtimes into portable containers and provisioning cloud resources using modern Infrastructure as Code tools. Team working / Collaboration: Experience of working with wider teams of Product Managers, Data Scientists, Engineers and non technical staff. We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process. About Us Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!
11/07/2026
Full time
Ipsos is recruiting a Data Engineer to help drive the technical evolution of our Audience Measurement data platforms. Joining a wider group of engineering leaders, you will work as part of a team championing an architecture rooted in managed cloud services, cost-conscious design, and incremental improvement. You will work closely with internal teams to Develop robust scalable data pipelines and optimise data storage solutions on GCP. What is in it for you? This is a fantastic opportunity for a mid-career / level person to work ontechnologies chosen intentionally, favouring proven tools that reduce cognitive load and maximise team velocity. Our core ecosystem revolves around: Modern Python for backend services and data processing. Cloud-native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers. Event buses and messaging queues for asynchronous, decoupled processing. Infrastructure as Code (Pulumi/Terraform) and containerized deployments. The role As a Data Engineer, you will work in the team to guide the platform's evolution toward serverless, event-driven patterns, moving away from container-orchestrated workflows toward managed cloud services. Platform Operations: Develop robust scalable data pipelines and optimise data storage solutions on GCP. Implement ETL processes and CI/CD pipelines to ensure clean, structured data ready for use. Work with data scientists to integrate synthetic models into production environments and provide the guardrails and advice as they develop. Provide technical support, troubleshoot issues, and research new technologies to enhance capabilities. Document pipelines and the platform including architectures and user guides,helping to enforce data management standards. Engage in DataOps practices and improve data delivery performance. Data Science & Analytics Enablement:Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration. Agile Delivery:Work within an agile framework. Participate in agile ceremonies and provide occasional client interaction. Team Working / Stakeholder Engagement: Provide technical advice and guidance for internal teams and occasionally clients. Explain complex technical solutions to non-technical audiences. Continuous Improvement: Foster a culture of incremental improvement. Vision and Strategy: Support the architectural as set out by the Lead Data Engineer. About you: To be successful in this role, your technical skills should be matched by a pragmatic approach. Extensive Data Engineering Experience: A proven track record of building robust scalable data pipelines using modern cloud providers (Ideally GCP). Strong Programming Skills: Expert-level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts. Serverless & Event-Driven Expertise: Experience with, or strong interest in, decomposing workloads into independent steps orchestrated by managed workflow services and triggered by data events. Migration & Testing Experience: Experience with safely modernizing legacy systems using parity testing and incremental routing patterns. IaC & Containerization: Hands-on experience packaging runtimes into portable containers and provisioning cloud resources using modern Infrastructure as Code tools. Team working / Collaboration: Experience of working with wider teams of Product Managers, Data Scientists, Engineers and non technical staff. We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process. About Us Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!
