901 to 925 of 1,226 Data Engineering Jobs in England

Senior Data Engineer Pay up to £73,517 , plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. Our DWP Data Engineer work in high-performing team with engineers, architects, designers and more - we offer guidance and support, develop data-centric solutions that positively impact millions of DWP users, helping them to find … and use essential DWP services. DWP. Digital with Purpose. We are looking for a Senior Data Engineer to join our community of tech experts in DWP Digital. We're using fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments … unique. We'd love you to join us. You and your role This role is all about leading from within, helping shape how DWP's Business Audit team approaches data engineering, without the need for a formal leadership title. You'll be translating technical requirements into real, workable solutions, especially as we move through platform migrations and system More ❯

Senior Data Engineer Pay up to £73,517 , plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. Our DWP Data Engineer work in high-performing team with engineers, architects, designers and more - we offer guidance and support, develop data-centric solutions that positively impact millions of DWP users, helping them to find … and use essential DWP services. DWP. Digital with Purpose. We are looking for a Senior Data Engineer to join our community of tech experts in DWP Digital. We're using fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments … unique. We'd love you to join us. You and your role This role is all about leading from within, helping shape how DWP's Business Audit team approaches data engineering, without the need for a formal leadership title. You'll be translating technical requirements into real, workable solutions, especially as we move through platform migrations and system More ❯

Senior Data Engineer Pay up to £73,517 , plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. Our DWP Data Engineer work in high-performing team with engineers, architects, designers and more - we offer guidance and support, develop data-centric solutions that positively impact millions of DWP users, helping them to find … and use essential DWP services. DWP. Digital with Purpose. We are looking for a Senior Data Engineer to join our community of tech experts in DWP Digital. We're using fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments … unique. We'd love you to join us. You and your role This role is all about leading from within, helping shape how DWP's Business Audit team approaches data engineering, without the need for a formal leadership title. You'll be translating technical requirements into real, workable solutions, especially as we move through platform migrations and system More ❯

Senior Data Engineer Pay up to £73,517 , plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. Our DWP Data Engineer work in high-performing team with engineers, architects, designers and more - we offer guidance and support, develop data-centric solutions that positively impact millions of DWP users, helping them to find … and use essential DWP services. DWP. Digital with Purpose. We are looking for a Senior Data Engineer to join our community of tech experts in DWP Digital. We're using fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments … unique. We'd love you to join us. You and your role This role is all about leading from within, helping shape how DWP's Business Audit team approaches data engineering, without the need for a formal leadership title. You'll be translating technical requirements into real, workable solutions, especially as we move through platform migrations and system More ❯

Principal Data Engineer – AWS Location: London (Hybrid/Flexible) - Other UK Locations available Salary: £95,000 - £105,000 + Bonus A leading consultancy is hiring for a Principal Data Engineer to join their fast-growing data team, delivering cloud-native data platforms for high-profile clients across sectors. This role will focus on designing and implementing … end-to-end data solutions using modern AWS tooling. It suits someone who thrives in greenfield environments, enjoys client engagement, and values clean, scalable, well-documented engineering. Key Responsibilities: Design and build robust data pipelines using AWS (S3, Redshift, Glue, Lambda, Step Functions, DynamoDB). Deliver ETL/ELT solutions with Matillion and related tooling. Work closely with … junior engineers. Requirements: Strong hands-on AWS experience – S3, Redshift, Glue essential. Proven experience building ETL/ELT pipelines in cloud environments. Proficient in working with structured/unstructured data (JSON, XML, CSV, Parquet). Skilled in working with relational databases and data lake architectures. Experienced with Matillion and modern data visualisation tools (QuickSight, Tableau, Looker, etc. More ❯

interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects. Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making. Have experience and/or in-depth understanding about large-scale distributed systems. Demonstrate an ability to work collaboratively in a fast-paced, innovative environment. Responsibilities … Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines. Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. Innovate and iterate over ideas, prototypes, and … product. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. Advance the AI frontier responsibly. Embody our culture and values . Required Qualifications Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling More ❯

Level Machine Learning Engineer to take ownership of the infrastructure and services that power machine learning systems in production. In this role, you'll act as a bridge between data science and engineering, ensuring robust, scalable, and low-latency deployment of models that serve millions of requests per day. You'll be responsible for building and maintaining Python … tooling to support rapid, reliable delivery. With sub-second response times and a high-throughput environment (2M+ requests/day), this is a high-impact role that blends software engineering, DevOps, and MLOps at scale. Key Responsibilities Design, develop, and maintain Python microservices for serving machine learning models Collaborate with Data Scientists to deploy, monitor, and support models … performance, fault-tolerant, and secure infrastructure Promote code quality, testing standards, and scalable architecture Proactively identify infrastructure improvements and lead implementation Requirements 2 + years of experience in Software Engineering, DevOps, or Data Engineering Strong Python skills with experience in microservices and web frameworks Solid understanding of CI/CD, ideally using Azure DevOps Familiarity with containerized More ❯

We’re looking for an experienced and entrepreneurial engineer to join as one of our first hires. This is a hands-on leadership role that combines deep data science and AI expertise, robust backend/data infrastructure development, and the opportunity to shape the technical DNA of our company. You’ll lead the buildout of our AI systems … and platform, shape our MLOps strategy, and ultimately grow and lead a world-class engineering team. What You’ll Do; Build core data infrastructure, pipelines, and ML systems from scratch using Python (70+%), GCP, AWS, and Kubernetes. Research & deploy advanced AI/ML models tailored to real-world use cases Own the full MLOps lifecycle: model development, deployment … monitoring, and iteration. Recruit & lead a high-performance team of engineers and data scientists. Collaborate closely with the co-founders and advisors to align tech execution with business goals. Help define technical culture, standards, and processes as a founding team member. What We're Looking For; 7+ years of hands-on experience in data science, software engineering More ❯

We’re looking for an experienced and entrepreneurial engineer to join as one of our first hires. This is a hands-on leadership role that combines deep data science and AI expertise, robust backend/data infrastructure development, and the opportunity to shape the technical DNA of our company. You’ll lead the buildout of our AI systems … and platform, shape our MLOps strategy, and ultimately grow and lead a world-class engineering team. What You’ll Do; Build core data infrastructure, pipelines, and ML systems from scratch using Python (70+%), GCP, AWS, and Kubernetes. Research & deploy advanced AI/ML models tailored to real-world use cases Own the full MLOps lifecycle: model development, deployment … monitoring, and iteration. Recruit & lead a high-performance team of engineers and data scientists. Collaborate closely with the co-founders and advisors to align tech execution with business goals. Help define technical culture, standards, and processes as a founding team member. What We're Looking For; 7+ years of hands-on experience in data science, software engineering More ❯

code that enable distributed training of multimodal LLMs ingesting text, audio, images, or video data. Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation. Collaborate with the product team and … Microsoft AI to identify gaps in the current generation of models. Embody our culture and values . Required/Minimum Qualifications Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modeling or data engineering work OR Master's Degree … in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work Experience with HPC (High performance computing) and/or parallel programming Experience in the area of pretraining Experience working with GPU clusters Microsoft is an equal opportunity employer. All qualified applicants More ❯

Job Description: Are you passionate about Data and Analytics (D&A) and excited about how it can completely transform the way an enterprise works? Do you have the strategic vision, technical expertise, and leadership skills to drive data-driven solutions? Do you want to work in a dynamic, fast-growing category? If so, you might be the ideal … candidate for the role in the Data and Analytics function for Global Pet Nutrition (PN) at Mars. Pet Nutrition (PN) is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program, Digital First, has been mobilized by the Mars Pet Nutrition (PN) leadership team. Digital First places pet parents at … to demonstrate significant thought leadership, quality decision making, deep technical know-how, and an ability to navigate complex business challenges while building and leading a team of world class data and analytics leaders. With Digital First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage More ❯

the off. Role Overview: As a Senior Developer you will act as a rounded technologist to lead development on a range of different projects to greatly overhaul the organisations Data & AI functions. You will utilise data engineering skills for end-to-end development on a Microsoft tech stack. You will also work towards an exciting greenfield AI … project to dramatically increase the efficiency and automation processes within the organisation. Requirements: Data Engineering Skills AI Experience Python Expertise Azure/Microsoft Tech Stack (Preffered) Interviews ongoing don't miss your chance to secure the future of your career! Contact me @ (url removed) or on (phone number removed). AI (artificial intelligence),Azure Data Factory, Python More ❯

Working for a high-growth ecommerce retailer, the Analytics Engineer will help scale their data infrastructure and unlock new commercial insights. As well as the engineering side, the role will also cover web analytics and their AI roadmap. They are looking for someone who blends hands-on technical expertise with a strong understanding of ecommerce metrics and stakeholder … needs. The Role The Analytics Engineer will maintain and optimise a modern data stack built on Google Cloud Platform (GCP), helping ensure data is accessible, high quality, and driving decisions across marketing, product, operations, finance and customer experience, among others. You’ll work closely with the growth and product teams, providing web analytics support using GA360/GA4 … data in BigQuery, and enabling self-serve reporting in business tools. You’ll also contribute to an emerging AI and automation roadmap—building lightweight tools, enhancing process efficiency, and helping the team test and scale innovations that drive measurable value. The Analytics Engineer will be responsible for: Building and managing ELT pipelines and analytics infrastructure (BigQuery, dbt, Fivetran, Sigma More ❯

Working for a high-growth ecommerce retailer, the Analytics Engineer will help scale their data infrastructure and unlock new commercial insights. As well as the engineering side, the role will also cover web analytics and their AI roadmap. They are looking for someone who blends hands-on technical expertise with a strong understanding of ecommerce metrics and stakeholder … needs. The Role The Analytics Engineer will maintain and optimise a modern data stack built on Google Cloud Platform (GCP), helping ensure data is accessible, high quality, and driving decisions across marketing, product, operations, finance and customer experience, among others. You’ll work closely with the growth and product teams, providing web analytics support using GA360/GA4 … data in BigQuery, and enabling self-serve reporting in business tools. You’ll also contribute to an emerging AI and automation roadmap—building lightweight tools, enhancing process efficiency, and helping the team test and scale innovations that drive measurable value. The Analytics Engineer will be responsible for: Building and managing ELT pipelines and analytics infrastructure (BigQuery, dbt, Fivetran, Sigma More ❯

Working for a high-growth ecommerce retailer, the Analytics Engineer will help scale their data infrastructure and unlock new commercial insights. As well as the engineering side, the role will also cover web analytics and their AI roadmap. They are looking for someone who blends hands-on technical expertise with a strong understanding of ecommerce metrics and stakeholder … needs. The Role The Analytics Engineer will maintain and optimise a modern data stack built on Google Cloud Platform (GCP), helping ensure data is accessible, high quality, and driving decisions across marketing, product, operations, finance and customer experience, among others. You’ll work closely with the growth and product teams, providing web analytics support using GA360/GA4 … data in BigQuery, and enabling self-serve reporting in business tools. You’ll also contribute to an emerging AI and automation roadmap—building lightweight tools, enhancing process efficiency, and helping the team test and scale innovations that drive measurable value. The Analytics Engineer will be responsible for: Building and managing ELT pipelines and analytics infrastructure (BigQuery, dbt, Fivetran, Sigma More ❯

Marketing Analyst/Consultant - Manchester We are hiring Marketing Specialist with a sharp analytical mind, strong client relationship skills, and a passion for turning complex data into clear, strategic insights. In this role, you'll work at the intersection of data, strategy, and client success-helping global brands across diverse markets harness marketing intelligence to drive performance and … latest in analytics, AI, and ML to design impactful solutions that shape marketing strategies and business outcomes. What You'll Do: Act as a trusted advisor to clients, turning data into actionable marketing insights. Lead data-driven client projects and contribute to commercial growth. Design and implement advanced analytics solutions, including AI and ML. Collaborate with internal teams … across data engineering, science, and implementation. Mentor peers and support thought leadership in marketing intelligence. Requirements: 3+ years in digital analytics, data science, or consultancy. Proficiency in GA4, GTM, BigQuery, GCP, Looker Studio, and modeling. Strong client relationship and communication skills. Please note the role is 2 days a week in Manchester Desired Skills and Experience GA4 More ❯

pipelines using GCP tools. • Ensure solutions are secure, compliant, and aligned with retail industry standards and best practices. • Conduct architecture reviews, technical workshops, and hands-on engagements with customer engineering teams. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in cloud architecture/solution engineering, including … at least 3 years in the retail industry. • 5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.). • Extensive experience designing GCP-based architectures leveraging services such as Vertex AI, BigQuery, Dataflow, and GKE. • Proficiency with vector similarity tools such as ScaNN, FAISS, or Vespa … for semantic and visual search. • Experience with AI agent frameworks (e.g., Dialogflow, LangChain, or custom agent orchestration solutions). • Strong understanding of retail data ecosystems, POS integration, and customer engagement analytics. • Strong hands-on experience with Google Cloud Platform (GCP) AI/ML services, especially Vertex AI (Workbench, Training, Prediction, Pipelines, Feature Store). • Proficiency in Python and strong More ❯

pipelines using GCP tools. • Ensure solutions are secure, compliant, and aligned with retail industry standards and best practices. • Conduct architecture reviews, technical workshops, and hands-on engagements with customer engineering teams. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in cloud architecture/solution engineering, including … at least 3 years in the retail industry. • 5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.). • Extensive experience designing GCP-based architectures leveraging services such as Vertex AI, BigQuery, Dataflow, and GKE. • Proficiency with vector similarity tools such as ScaNN, FAISS, or Vespa … for semantic and visual search. • Experience with AI agent frameworks (e.g., Dialogflow, LangChain, or custom agent orchestration solutions). • Strong understanding of retail data ecosystems, POS integration, and customer engagement analytics. • Strong hands-on experience with Google Cloud Platform (GCP) AI/ML services, especially Vertex AI (Workbench, Training, Prediction, Pipelines, Feature Store). • Proficiency in Python and strong More ❯

Build the future of the AI Data Cloud. Join the Snowflake team. We are looking for a Commercial Solutions Engineer for the UK market who can solve our customer's most complex problems. In this role you will work directly with the account sales team and channel partners to understand the needs of our customers, strategize on how to … best support them in their evaluation and ultimately help our customers choose Snowflake as their solution. As a Snowflake Commercial Solutions Engineer you share our passion for solving complex data challenges and helping organizations to get the most out of their data assets. Our technical landscape is ever evolving and you are keen to learn new skills and … position Snowflake in relation to them Work closely with other sales engineers to make each other the best and constantly learn from wins and losses Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake's products and marketing Represent Snowflake at industry or customer events Work with our ecosystem and implementation partners to build joint architectures or More ❯

pipelines using GCP tools. • Ensure solutions are secure, compliant, and aligned with retail industry standards and best practices. • Conduct architecture reviews, technical workshops, and hands-on engagements with customer engineering teams. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in cloud architecture/solution engineering, including … at least 3 years in the retail industry. • 5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.). • Extensive experience designing GCP-based architectures leveraging services such as Vertex AI, BigQuery, Dataflow, and GKE. • Proficiency with vector similarity tools such as ScaNN, FAISS, or Vespa … for semantic and visual search. • Experience with AI agent frameworks (e.g., Dialogflow, LangChain, or custom agent orchestration solutions). • Strong understanding of retail data ecosystems, POS integration, and customer engagement analytics. • Strong hands-on experience with Google Cloud Platform (GCP) AI/ML services, especially Vertex AI (Workbench, Training, Prediction, Pipelines, Feature Store). • Proficiency in Python and strong More ❯

Media, Digital business transformation with Publicis.Sapient, and Health & Wellbeing with Publicis Health. Freelance Adobe Analytics Director EMEA We are looking for a Analytics Director EMEA to identify all active data sources in the quarter, work with Data Engineering team to ensure data pipelines are setup, feed is populating data, refreshed periodically to ensure data availability for weekly processing. Key Requirements: •Minimum 7 years of experience of paid digital reporting within a media agency or client-side dealing with large volumes of data •Understanding of media industry, agency background, marketing •Experienced in tools and methodologies (ETL, Data Management, Agile, Kanban, Data visualisation principles) •Experience of using PowerBI to build dashboards and … a clear understanding of the development project life cycle, from gathering requirements to the roll out to end users •Knowledge of relevant Data visualisation applications, JavaScript or Python, data structuring and manipulation •Experience with delivering complex technical content to large groups, in a coherent, accessible and inspiring way Please send your CV, availability and day rate to chanelle.hall More ❯

Media, Digital business transformation with Publicis.Sapient, and Health & Wellbeing with Publicis Health. Freelance Adobe Analytics Director EMEA We are looking for a Analytics Director EMEA to identify all active data sources in the quarter, work with Data Engineering team to ensure data pipelines are setup, feed is populating data, refreshed periodically to ensure data availability for weekly processing. Key Requirements: •Minimum 7 years of experience of paid digital reporting within a media agency or client-side dealing with large volumes of data •Understanding of media industry, agency background, marketing •Experienced in tools and methodologies (ETL, Data Management, Agile, Kanban, Data visualisation principles) •Experience of using PowerBI to build dashboards and … a clear understanding of the development project life cycle, from gathering requirements to the roll out to end users •Knowledge of relevant Data visualisation applications, JavaScript or Python, data structuring and manipulation •Experience with delivering complex technical content to large groups, in a coherent, accessible and inspiring way Please send your CV, availability and day rate to chanelle.hall More ❯

Build the future of the AI Data Cloud. Join the Snowflake team. We are looking for a Commercial Sales Engineer for the market who can solve our customer's most complex problems. In this role you will work directly with the account sales team and channel partners to understand the needs of our customers, strategize on how to best … support them in their evaluation and ultimately help our customers choose Snowflake as their solution. As a Snowflake Commercial Solution Engineer you share our passion for solving complex data challenges and helping organizations to get the most out of their data assets. Our technical landscape is ever evolving and you are keen to learn new skills and put … position Snowflake in relation to them Work closely with other sales engineers to make each other the best and constantly learn from wins and losses Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake's products and marketing Represent Snowflake at industry or customer events Work with our ecosystem and implementation partners to build joint architectures or More ❯

Velocity Tech has partnered with a leading global insurance organisation at the forefront of digital innovation in the London market. This organisation is known for pioneering advancements in data, cloud, and AI capabilities to support underwriting, digital trading, and claims optimisation. With a commitment to continuous improvement and technology-driven transformation, they are investing in building scalable, secure, and … forward-thinking infrastructure that enables smarter decision-making and outstanding customer service. This opportunity sits within a high-performing technology and data team that thrives on solving complex challenges through collaboration, best-in-class tooling, and modern cloud-native architecture. The team is actively driving forward initiatives such as machine learning for post-catastrophe property damage identification, API-based … DevOps/product-based model, the Platform Engineer will be responsible for enhancing, supporting, and optimising the organisation’s cloud infrastructure. The role will suit someone who enjoys enabling engineering teams to ship quickly and safely, who thinks in terms of automation and scale, and who is confident building robust, repeatable cloud solutions using modern infrastructure-as-code practices. More ❯

Velocity Tech has partnered with a leading global insurance organisation at the forefront of digital innovation in the London market. This organisation is known for pioneering advancements in data, cloud, and AI capabilities to support underwriting, digital trading, and claims optimisation. With a commitment to continuous improvement and technology-driven transformation, they are investing in building scalable, secure, and … forward-thinking infrastructure that enables smarter decision-making and outstanding customer service. This opportunity sits within a high-performing technology and data team that thrives on solving complex challenges through collaboration, best-in-class tooling, and modern cloud-native architecture. The team is actively driving forward initiatives such as machine learning for post-catastrophe property damage identification, API-based … DevOps/product-based model, the Platform Engineer will be responsible for enhancing, supporting, and optimising the organisation’s cloud infrastructure. The role will suit someone who enjoys enabling engineering teams to ship quickly and safely, who thinks in terms of automation and scale, and who is confident building robust, repeatable cloud solutions using modern infrastructure-as-code practices. More ❯