City of London, London, United Kingdom Hybrid / WFH Options
Carrington Recruitment Solutions Limited
Business Product Owner, Data Analytics, Azure, DataEngineering, AI, ML, Azure, Mainly Remote Product Owner (Technical and Business) required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions. We need someone who has worked on … and SIGNIFICANT products for large enterprise businesses. If you have come from the Big 4 on the Professional Services circuit, even better! The platform primarily serves two key personas: Data and Intelligence Delivery specialists, who manage data ingestion, transformation, and orchestration processes, and Assurance professionals, who use the analysers to enhance audit quality and client service. This being … said, we need DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details Experience required: Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for dataengineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Carrington Recruitment Solutions Ltd
Business Product Owner, Data Analytics, Azure, DataEngineering, AI, ML, Azure, Mainly Remote Product Owner (Technical and Business) required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions. We need someone who has worked on … and SIGNIFICANT products for large enterprise businesses. If you have come from the Big 4 on the Professional Services circuit, even better! The platform primarily serves two key personas: Data and Intelligence Delivery specialists, who manage data ingestion, transformation, and orchestration processes, and Assurance professionals, who use the analysers to enhance audit quality and client service. This being … said, we need DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details... Experience required: Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for dataengineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management: Demonstrated expertise More ❯
london, south east england, united kingdom Hybrid / WFH Options
Stott and May
Job Description Job Title: Data Steward Location: Luton, UK (Hybrid – 2 to 3 days in office per week) Day Rate: £ Inside IR35) Contract Duration: 6 months Start Date: ASAP About The Role We are seeking a Data Steward to ensure data quality, governance, and compliance across critical operational datasets, enabling reliable analytics and reporting. The role focuses … on managing metadata, monitoring data reliability, and supporting business users in leveraging trusted and high-quality data. Key Responsibilities Data Governance & Stewardship Define and enforce data governance standards, policies, and processes across operational datasets. Collaborate with business stakeholders to document business definitions, data ownership, and stewardship guidelines. Maintain data dictionaries, metadata, and lineage using Atlan. … Data Management & Quality Serve as the technical lead for Data Management and Quality. Develop technical designs for data management frameworks and ensure integration within people, tools, and business processes. Monitor adherence to data management best practices across the organisation. Data Quality & Reliability Monitor and ensure data accuracy, completeness, timeliness, and consistency across systems. Utilise More ❯
Job Title: Staff Data Engineer Location: London, Hybrid Salary: c.£140,000 + bonus + share options Why Apply? This is a unique opportunity to take a leading role in shaping the data strategy of a fast growing Insurtech scale-up. The role combines hands on technical work with strategic influence, allowing you to develop both systems and … people. You'll lead a small but high impact team, work across multiple business functions, and help deliver a modern, scalable data platform that drives business decisions. Responsibilities: Lead, mentor, and develop a high performing team of Data Engineers, fostering a culture of learning and excellence. Define and execute the dataengineering roadmap aligned with business … goals. Own and evolve the end-to-end data platform, including ingestion, transformation, governance, and real time processing. Design, build, and maintain scalable data pipelines, warehouses, and models to support product and analytics teams. Introduce and enforce best practices in testing, CI/CD, infrastructure as code, and observability. Write and review production level code, designing scalable dataMore ❯
london, south east england, united kingdom Hybrid / WFH Options
Fruition Group
Job Title: Staff Data Engineer Location: London, Hybrid Salary: c.£140,000 + bonus + share options Why Apply? This is a unique opportunity to take a leading role in shaping the data strategy of a fast growing Insurtech scale-up. The role combines hands on technical work with strategic influence, allowing you to develop both systems and … people. You'll lead a small but high impact team, work across multiple business functions, and help deliver a modern, scalable data platform that drives business decisions. Responsibilities: Lead, mentor, and develop a high performing team of Data Engineers, fostering a culture of learning and excellence. Define and execute the dataengineering roadmap aligned with business … goals. Own and evolve the end-to-end data platform, including ingestion, transformation, governance, and real time processing. Design, build, and maintain scalable data pipelines, warehouses, and models to support product and analytics teams. Introduce and enforce best practices in testing, CI/CD, infrastructure as code, and observability. Write and review production level code, designing scalable dataMore ❯
slough, south east england, united kingdom Hybrid / WFH Options
Fruition Group
Job Title: Staff Data Engineer Location: London, Hybrid Salary: c.£140,000 + bonus + share options Why Apply? This is a unique opportunity to take a leading role in shaping the data strategy of a fast growing Insurtech scale-up. The role combines hands on technical work with strategic influence, allowing you to develop both systems and … people. You'll lead a small but high impact team, work across multiple business functions, and help deliver a modern, scalable data platform that drives business decisions. Responsibilities: Lead, mentor, and develop a high performing team of Data Engineers, fostering a culture of learning and excellence. Define and execute the dataengineering roadmap aligned with business … goals. Own and evolve the end-to-end data platform, including ingestion, transformation, governance, and real time processing. Design, build, and maintain scalable data pipelines, warehouses, and models to support product and analytics teams. Introduce and enforce best practices in testing, CI/CD, infrastructure as code, and observability. Write and review production level code, designing scalable dataMore ❯
kettering, midlands, united kingdom Hybrid / WFH Options
Atrium (EMEA)
Contract Role – Data AWS Engineer – Northampton/Hybrid – 6 months – Inside IR35 7+ years of experienced in designing, building, and maintaining data pipelines and architectures on the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes … ensuring data security, and collaborating with other teams for data analysis and business requirements Role Overview: Job Title: Data AWS Engineer Location: Northampton (hybrid: 2-3 days in office) Contract Type: Contract Duration: 6 months Key Responsibilities: Designing and Building Data Pipelines: Creating and implementing data pipelines to move data between different systems and … applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL) processes to move and transform data. Data Governance and Security: Implementing data governance and security policies for data storage and processing. Collaboration and Communication: Working with dataMore ❯
Town Centre, Northampton, Northamptonshire, England, United Kingdom Hybrid / WFH Options
Atrium Workforce Solutions Ltd
Contract Role – Data AWS Engineer – Northampton/Hybrid – 6 months – Inside IR35 7+ years of experienced in designing, building, and maintaining data pipelines and architectures on the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes … ensuring data security, and collaborating with other teams for data analysis and business requirements Role Overview: Job Title: Data AWS Engineer Location: Northampton (hybrid: 2-3 days in office) Contract Type: Contract Duration: 6 months Key Responsibilities: Designing and Building Data Pipelines: Creating and implementing data pipelines to move data between different systems and … applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL) processes to move and transform data. Data Governance and Security: Implementing data governance and security policies for data storage and processing. Collaboration and Communication: Working with dataMore ❯
milton keynes, south east england, united kingdom Hybrid / WFH Options
Atrium (EMEA)
Contract Role – Data AWS Engineer – Northampton/Hybrid – 6 months – Inside IR35 7+ years of experienced in designing, building, and maintaining data pipelines and architectures on the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes … ensuring data security, and collaborating with other teams for data analysis and business requirements Role Overview: Job Title: Data AWS Engineer Location: Northampton (hybrid: 2-3 days in office) Contract Type: Contract Duration: 6 months Key Responsibilities: Designing and Building Data Pipelines: Creating and implementing data pipelines to move data between different systems and … applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL) processes to move and transform data. Data Governance and Security: Implementing data governance and security policies for data storage and processing. Collaboration and Communication: Working with dataMore ❯
Leeds, West Yorkshire, United Kingdom Hybrid / WFH Options
Corecom Consulting
Job Title: Senior Data Engineer Salary: Up to £65,000 Location: Leeds (Hybrid - 2 days a week in the office) Are you a dataengineering expert ready to take the next step in your career? We're hiring a Senior Data Engineer to join our growing team in Leeds. You'll play a critical role in … designing, building, and managing modern data pipelines and cloud-based data solutions. What you'll be doing: Designing and maintaining scalable data pipelines Building and optimising data warehousing solutions Working with Databricks and modern cloud platforms (Azure or AWS) Collaborating with cross-functional teams to deliver high-impact data products Leading best practices in dataengineering and pipeline architecture What we're looking for: Proven experience in dataengineering at a senior level Strong hands-on knowledge of Databricks Experience with Azure or AWS cloud platforms Expertise in data warehousing and ETL processes Ability to work both independently and as part of a collaborative team Why join us More ❯
Atherstone, Warwickshire, West Midlands, United Kingdom Hybrid / WFH Options
Aldi Stores
An exciting opportunity has arisen for an experienced Data Solution Architect to become part of the National Data and Analytics (NDA) Platform & Engineering Team. The NDA Platform & Engineering Team is working on providing data to drive the business forward. You'll work in a team that has access to end-to-end business data whilst also working with new technologies and data sources. As part of NDA, you will collaborate with Business Partners, Data Scientists and Report Developers to deliver data driven solutions to the business. We are looking for someone to come into supplement the existing NDA team in delivering significant data solutions using industry level best practices. … Reporting to the Platform and Engineering Manager, the candidate will be required to design and manage data warehousing solutions, including the development of data models, ETL processes and data integration pipelines for efficient data consolidation, storage and retrieval, providing technical guidance and upskilling for the team, and conducting monitoring and optimisation activities. If youre a More ❯
Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom Hybrid / WFH Options
Reed
We are looking for a Lead Data Architect to provide strategic leadership and technical expertise in the design and development of data solutions. This role involves setting technical standards, evaluating new technologies, and shaping our approach to data. You will lead a team of Data Architects, Engineers, and Analysts, defining data architecture frameworks and ensuring the … development of scalable, robust, and cost-effective solutions. The ideal candidate will have a passion for data, be technology-agnostic, and possess excellent client-facing skills. Lead Data Architect Annual Salary: circa £85,000 Location: Flexible, hybrid working with some client travel Day to day of the role: Shape the approach to the design and development of data solutions using cloud technologies. Set standards for solutions documentation and data governance. Lead the promotion of Agile delivery methods. Manage and mentor mid-level to senior team members. Stay updated with the latest technologies and methodologies in cloud and data. Maintain relevant certifications and build strong client relationships. Promote best practices and inspire continual improvement within the team. More ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Partnerscale
Engineering Team Lead – Distributed Systems/Data Platforms Location: Manchester (Hybrid) Salary: Up to £75,000 + bonus (15–20%) + travel allowance & benefits Permanent, Full-time We are recruiting for an Engineering Team Lead to join a growing technology business and lead a team working on large-scale distributed data platforms. This is a hands … on leadership role where you’ll oversee the design, development and delivery of resilient, high-availability systems that handle significant data workloads. You’ll work across a range of technologies including Riak, Cassandra, Couchbase, DynamoDB, Aerospike, Redis and MongoDB. Direct experience with NoSQL datastores is a bonus, but not expected. We’re looking for someone with a strong software … engineering or dataengineering background who has led teams through data platform or backend engineering projects. You’ll be responsible for driving best practices, mentoring developers and ensuring smooth delivery across multiple projects. A deep understanding of distributed systems, data storage and scalable architectures will be key. Key experience required: Proven experience leading a More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Experis UK
days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, dataMore ❯
days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, dataMore ❯
london, south east england, united kingdom Hybrid / WFH Options
Experis UK
days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, dataMore ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Experis UK
days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, dataMore ❯
slough, south east england, united kingdom Hybrid / WFH Options
Experis UK
days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, dataMore ❯
My client, a specialist engineering consultancy with a client base spanning a number of technical engineering sectors, requires an experienced Data Scientist for a contract role outside IR35. This role is 100% WFH. The Data Scientist will utilise their expertise to analyse complex data sets and provide insights to give clients a competitive advantage. The … Data Scientist will be responsible for designing and implementing data-driven solutions to address business problems and collaborate with cross-functional teams to deliver high-quality analytics solutions. The Data Scientist will have experience in using a variety of techniques to analyse complex datasets and develop data models. You will be experienced in data visualisation … understanding how to contextualise results and communicate insights to both technical and non-technical audiences. Responsibilities Work with cross-functional teams to identify business problems and translate them into data- driven solutions. Develop algorithms and statistical models to analyse and interpret complex data sets. Collaborate with software engineers to integrate models into the production environment. Communicate insights and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Immersum
Job Title: Lead Data Engineer (leading a team of 4). Salary: £100,000 – £130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. … By combining cutting-edge data science with powerful location intelligence, they help major organisations make smarter, faster decisions. Backed by top-tier investors and growing fast, this is your chance to shape the future of PropTech from the inside. We are seeking a Lead Data Engineer to lead our growing data team (3–4 people) and play … a critical role in building scalable, automated data infrastructure. You will help shape the future of their data architecture, ensuring high-quality ingestion, robust pipelines, and reliable systems that can handle millions of data rows per second . What You’ll Do Design, build, and maintain data ingestion pipelines (APIs, CSVs, high-frequency loads). Automate More ❯
Job Title: Lead Data Engineer (leading a team of 4). Salary: £100,000 – £130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. … By combining cutting-edge data science with powerful location intelligence, they help major organisations make smarter, faster decisions. Backed by top-tier investors and growing fast, this is your chance to shape the future of PropTech from the inside. We are seeking a Lead Data Engineer to lead our growing data team (3–4 people) and play … a critical role in building scalable, automated data infrastructure. You will help shape the future of their data architecture, ensuring high-quality ingestion, robust pipelines, and reliable systems that can handle millions of data rows per second . What You’ll Do Design, build, and maintain data ingestion pipelines (APIs, CSVs, high-frequency loads). Automate More ❯
london, south east england, united kingdom Hybrid / WFH Options
Immersum
Job Title: Lead Data Engineer (leading a team of 4). Salary: £100,000 – £130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. … By combining cutting-edge data science with powerful location intelligence, they help major organisations make smarter, faster decisions. Backed by top-tier investors and growing fast, this is your chance to shape the future of PropTech from the inside. We are seeking a Lead Data Engineer to lead our growing data team (3–4 people) and play … a critical role in building scalable, automated data infrastructure. You will help shape the future of their data architecture, ensuring high-quality ingestion, robust pipelines, and reliable systems that can handle millions of data rows per second . What You’ll Do Design, build, and maintain data ingestion pipelines (APIs, CSVs, high-frequency loads). Automate More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Immersum
Job Title: Lead Data Engineer (leading a team of 4). Salary: £100,000 – £130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. … By combining cutting-edge data science with powerful location intelligence, they help major organisations make smarter, faster decisions. Backed by top-tier investors and growing fast, this is your chance to shape the future of PropTech from the inside. We are seeking a Lead Data Engineer to lead our growing data team (3–4 people) and play … a critical role in building scalable, automated data infrastructure. You will help shape the future of their data architecture, ensuring high-quality ingestion, robust pipelines, and reliable systems that can handle millions of data rows per second . What You’ll Do Design, build, and maintain data ingestion pipelines (APIs, CSVs, high-frequency loads). Automate More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Immersum
Job Title: Lead Data Engineer (leading a team of 4). Salary: £100,000 – £130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. … By combining cutting-edge data science with powerful location intelligence, they help major organisations make smarter, faster decisions. Backed by top-tier investors and growing fast, this is your chance to shape the future of PropTech from the inside. We are seeking a Lead Data Engineer to lead our growing data team (3–4 people) and play … a critical role in building scalable, automated data infrastructure. You will help shape the future of their data architecture, ensuring high-quality ingestion, robust pipelines, and reliable systems that can handle millions of data rows per second . What You’ll Do Design, build, and maintain data ingestion pipelines (APIs, CSVs, high-frequency loads). Automate More ❯
Data Engineer | Location: London (Hybrid - 2 days WFO) | Salary: £60,000-£80,000 | London Market Insurance experience ESSENTIAL. The Opportunity Are you passionate about building cutting-edge data platforms that drive business growth? Our client is seeking who is a Speciality Insurer a skilled and motivated Data Engineer with Insurance experience to play a key role in … the creation of a brand-new data platform within the Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long standing London Market Insurer . You’ll help shape the data strategy, improve data quality, and … empower the business to make data-driven decisions. As a Lead Data Engineer, you'll work closely with both technical and business stakeholders, leveraging your expertise to design, develop, and optimize a high-performance data platform built on Databricks . This platform will be built to scale, incorporating the latest advancements in data intelligence while supporting More ❯