london (city of london), south east england, united kingdom
Orbis Group
Data Engineer – Front Office - Trading Orbis are partnering with a global Commodities Trading firm who are investing heavily in data-driven decision-making, and embracing modern technology across the business, including GenAI. As part of this growth, they’re looking for a Data Engineer to join their data team and ensure commercial teams have the data they need, when they need it. This is an incredible opportunity to work at the intersection of data, technology, and trading, supporting the global commercial teams and shaping how data underpins market insights, pricing models, and investment decisions. In this role, you will: Design, build, and optimise data pipelines and market data platforms in Python … for scalable, high-performance analytics Manage end-to-end data ingestion (ETL), transformation, and quality control, ensuring data accuracy and reliability Collaborate with traders, quants, and data scientists to translate commercial needs into robust technical data solutions Oversee operational stability — developing monitoring tools, automations, and runbooks to ensure resilient data operations To be successful in 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 … across 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 dataengineering 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 dataengineering 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 ❯
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost … maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and … implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines More ❯
Data Engineer – Python | SQL | Azure | Microsoft Fabric Location: London Salary: £90,000 + benefits Financial Services Are you a skilled Data Engineer with strong coding expertise and a passion for building scalable data solutions? We’re looking for a talented professional to join our team and play a key role in designing, developing, and optimising modern data platforms on Azure Cloud — with a focus on an exciting Microsoft Fabric implementation. What you’ll do Design and build robust data pipelines and ETL processes using Python and SQL. Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake … Functions) to deliver secure and scalable data solutions. Optimise data workflows for performance, reliability, and cost efficiency. Collaborate with analysts, data scientists, and business stakeholders to ensure high-quality, trusted data is available for decision-making. Implement best practices for data governance, monitoring, and CI/CD automation. What we’re looking for Proven experience More ❯
Data Engineer – Python | SQL | Azure | Microsoft Fabric Location: London Salary: £90,000 + benefits Financial Services Are you a skilled Data Engineer with strong coding expertise and a passion for building scalable data solutions? We’re looking for a talented professional to join our team and play a key role in designing, developing, and optimising modern data platforms on Azure Cloud — with a focus on an exciting Microsoft Fabric implementation. What you’ll do Design and build robust data pipelines and ETL processes using Python and SQL. Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake … Functions) to deliver secure and scalable data solutions. Optimise data workflows for performance, reliability, and cost efficiency. Collaborate with analysts, data scientists, and business stakeholders to ensure high-quality, trusted data is available for decision-making. Implement best practices for data governance, monitoring, and CI/CD automation. What we’re looking for Proven experience More ❯
Data Engineer – Python | SQL | Azure | Microsoft Fabric Location: London Salary: £90,000 + benefits Financial Services Are you a skilled Data Engineer with strong coding expertise and a passion for building scalable data solutions? We’re looking for a talented professional to join our team and play a key role in designing, developing, and optimising modern data platforms on Azure Cloud — with a focus on an exciting Microsoft Fabric implementation. What you’ll do Design and build robust data pipelines and ETL processes using Python and SQL. Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake … Functions) to deliver secure and scalable data solutions. Optimise data workflows for performance, reliability, and cost efficiency. Collaborate with analysts, data scientists, and business stakeholders to ensure high-quality, trusted data is available for decision-making. Implement best practices for data governance, monitoring, and CI/CD automation. What we’re looking for Proven experience More ❯
london (city of london), south east england, united kingdom
Harrington Starr
Data Engineer – Python | SQL | Azure | Microsoft Fabric Location: London Salary: £90,000 + benefits Financial Services Are you a skilled Data Engineer with strong coding expertise and a passion for building scalable data solutions? We’re looking for a talented professional to join our team and play a key role in designing, developing, and optimising modern data platforms on Azure Cloud — with a focus on an exciting Microsoft Fabric implementation. What you’ll do Design and build robust data pipelines and ETL processes using Python and SQL. Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake … Functions) to deliver secure and scalable data solutions. Optimise data workflows for performance, reliability, and cost efficiency. Collaborate with analysts, data scientists, and business stakeholders to ensure high-quality, trusted data is available for decision-making. Implement best practices for data governance, monitoring, and CI/CD automation. What we’re looking for Proven experience More ❯
Data Engineer Consultant – Leading Data & Cloud Consultancy Location: London, UK (Hybrid – 2–3 days per week on-site) Contract Type: Permanent Salary: £50,000 – £60,000 per annum (depending on experience) Start Date: ASAP About the Company Our client is a boutique data and cloud consultancy that partners with leading organisations across industries to deliver transformative, data-driven solutions. With expertise spanning dataengineering, analytics, AI, cloud modernisation, and governance , the company helps clients unlock business value and accelerate digital transformation. Operating globally with a strong UK presence, the consultancy works with enterprise clients across financial services, insurance, government, telecoms, media, and FMCG sectors. About the Role We’re seeking a Data Engineer … Consultant to join a growing team in London. You’ll work on innovative cloud data projects, supporting a mix of client engagements and internal initiatives. This is a great opportunity for a technically skilled, hands-on engineer who wants to build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable dataMore ❯
City of London, London, United Kingdom Hybrid / WFH Options
Az-Tec Talent
Data Engineer Consultant – Leading Data & Cloud Consultancy Location: London, UK (Hybrid – 2–3 days per week on-site) Contract Type: Permanent Salary: £50,000 – £60,000 per annum (depending on experience) Start Date: ASAP About the Company Our client is a boutique data and cloud consultancy that partners with leading organisations across industries to deliver transformative, data-driven solutions. With expertise spanning dataengineering, analytics, AI, cloud modernisation, and governance , the company helps clients unlock business value and accelerate digital transformation. Operating globally with a strong UK presence, the consultancy works with enterprise clients across financial services, insurance, government, telecoms, media, and FMCG sectors. About the Role We’re seeking a Data Engineer … Consultant to join a growing team in London. You’ll work on innovative cloud data projects, supporting a mix of client engagements and internal initiatives. This is a great opportunity for a technically skilled, hands-on engineer who wants to build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable dataMore ❯
london, south east england, united kingdom Hybrid / WFH Options
Az-Tec Talent
Data Engineer Consultant – Leading Data & Cloud Consultancy Location: London, UK (Hybrid – 2–3 days per week on-site) Contract Type: Permanent Salary: £50,000 – £60,000 per annum (depending on experience) Start Date: ASAP About the Company Our client is a boutique data and cloud consultancy that partners with leading organisations across industries to deliver transformative, data-driven solutions. With expertise spanning dataengineering, analytics, AI, cloud modernisation, and governance , the company helps clients unlock business value and accelerate digital transformation. Operating globally with a strong UK presence, the consultancy works with enterprise clients across financial services, insurance, government, telecoms, media, and FMCG sectors. About the Role We’re seeking a Data Engineer … Consultant to join a growing team in London. You’ll work on innovative cloud data projects, supporting a mix of client engagements and internal initiatives. This is a great opportunity for a technically skilled, hands-on engineer who wants to build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable dataMore ❯
slough, south east england, united kingdom Hybrid / WFH Options
Az-Tec Talent
Data Engineer Consultant – Leading Data & Cloud Consultancy Location: London, UK (Hybrid – 2–3 days per week on-site) Contract Type: Permanent Salary: £50,000 – £60,000 per annum (depending on experience) Start Date: ASAP About the Company Our client is a boutique data and cloud consultancy that partners with leading organisations across industries to deliver transformative, data-driven solutions. With expertise spanning dataengineering, analytics, AI, cloud modernisation, and governance , the company helps clients unlock business value and accelerate digital transformation. Operating globally with a strong UK presence, the consultancy works with enterprise clients across financial services, insurance, government, telecoms, media, and FMCG sectors. About the Role We’re seeking a Data Engineer … Consultant to join a growing team in London. You’ll work on innovative cloud data projects, supporting a mix of client engagements and internal initiatives. This is a great opportunity for a technically skilled, hands-on engineer who wants to build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable dataMore ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Az-Tec Talent
Data Engineer Consultant – Leading Data & Cloud Consultancy Location: London, UK (Hybrid – 2–3 days per week on-site) Contract Type: Permanent Salary: £50,000 – £60,000 per annum (depending on experience) Start Date: ASAP About the Company Our client is a boutique data and cloud consultancy that partners with leading organisations across industries to deliver transformative, data-driven solutions. With expertise spanning dataengineering, analytics, AI, cloud modernisation, and governance , the company helps clients unlock business value and accelerate digital transformation. Operating globally with a strong UK presence, the consultancy works with enterprise clients across financial services, insurance, government, telecoms, media, and FMCG sectors. About the Role We’re seeking a Data Engineer … Consultant to join a growing team in London. You’ll work on innovative cloud data projects, supporting a mix of client engagements and internal initiatives. This is a great opportunity for a technically skilled, hands-on engineer who wants to build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable dataMore ❯
12m FTC The Team: The DataEngineering team is positioned in the Delivery business unit of the IT function within the Data & Automation department sitting alongside the Report Engineering, Data Governance, Data Migrations and Automation teams. DataEngineering is a perfect blend of Data Engineers and QA Engineers that are renowned … optimise CI/CD pipelines in Azure DevOps to automate deployment of workspaces, Unity Catalog, networking, and security. Work with Databricks (Spark/Scala, PySpark) to support ingestion frameworks, data processing, and platform-level libraries. Implement secure connectivity (VNET injection, Private Link, firewall, DNS, RBAC). Monitor, troubleshoot, and optimise platform reliability and performance. Partner with architects, engineers, and … product teams to enforce best practices in governance, security, and automation. Document infrastructure, processes, and standards for wider engineering adoption. Must Have: Proven expertise with Microsoft Azure (networking, security, storage, compute). Strong proficiency in Databricks with hands-on Scala (Spark) and PySpark . Deep experience with Terraform for Azure resource deployment and governance. Hands-on with Azure DevOps More ❯
warrington, cheshire, north west england, united kingdom
TalkTalk
12m FTC The Team: The DataEngineering team is positioned in the Delivery business unit of the IT function within the Data & Automation department sitting alongside the Report Engineering, Data Governance, Data Migrations and Automation teams. DataEngineering is a perfect blend of Data Engineers and QA Engineers that are renowned … optimise CI/CD pipelines in Azure DevOps to automate deployment of workspaces, Unity Catalog, networking, and security. Work with Databricks (Spark/Scala, PySpark) to support ingestion frameworks, data processing, and platform-level libraries. Implement secure connectivity (VNET injection, Private Link, firewall, DNS, RBAC). Monitor, troubleshoot, and optimise platform reliability and performance. Partner with architects, engineers, and … product teams to enforce best practices in governance, security, and automation. Document infrastructure, processes, and standards for wider engineering adoption. Must Have: Proven expertise with Microsoft Azure (networking, security, storage, compute). Strong proficiency in Databricks with hands-on Scala (Spark) and PySpark . Deep experience with Terraform for Azure resource deployment and governance. Hands-on with Azure DevOps More ❯
bolton, greater manchester, north west england, united kingdom
TalkTalk
12m FTC The Team: The DataEngineering team is positioned in the Delivery business unit of the IT function within the Data & Automation department sitting alongside the Report Engineering, Data Governance, Data Migrations and Automation teams. DataEngineering is a perfect blend of Data Engineers and QA Engineers that are renowned … optimise CI/CD pipelines in Azure DevOps to automate deployment of workspaces, Unity Catalog, networking, and security. Work with Databricks (Spark/Scala, PySpark) to support ingestion frameworks, data processing, and platform-level libraries. Implement secure connectivity (VNET injection, Private Link, firewall, DNS, RBAC). Monitor, troubleshoot, and optimise platform reliability and performance. Partner with architects, engineers, and … product teams to enforce best practices in governance, security, and automation. Document infrastructure, processes, and standards for wider engineering adoption. Must Have: Proven expertise with Microsoft Azure (networking, security, storage, compute). Strong proficiency in Databricks with hands-on Scala (Spark) and PySpark . Deep experience with Terraform for Azure resource deployment and governance. Hands-on with Azure DevOps 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 ❯
leading enterprise fraud and authentication platform is used by thousands of financial institutions around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest … customer intervention in the industry. We stop fraud, not customers. See what others can't at What you'll achieve As a Senior Data Scientist you will develop and implement machine learning models, perform advanced data analysis, and identify patterns and trends to improve the efficiency and usability of our products and services. You will also be responsible … for creating insightful reports and dashboards to support data-driven decision-making across the organization. Responsibilities Understand business problems and conduct statistical analysis independently. Break down hard problems. Communicate effectively to senior stakeholders. Deliver value end-to-end. Self-serve dataengineering and infrastructure as required. Make recommendations on best practice in terms of analysis, machine learning 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 ❯
CDS DATA SYSTEMS & AI ENGINEER, Office of the Provost Job Description CDS DATA SYSTEMS & AI ENGINEER, Office of the Provost Category Charles River Campus > Professional Job Location BOSTON, MA, United States Tracking Code Posted Date 10/9/2025 Salary Grade Grade 51 Expected Hiring Range Minimum $100,000.00 Expected Hiring Range Maximum $123,000.00 The salary … range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular The CDS Data Systems, Software, and AI Engineer will serve as the technical lead on a portfolio of interdisciplinary projects spanning software engineering, data systems, and artificial intelligence. The position … will guide individuals and teams in the design, development, deployment, and evaluation of (near) production-quality systems-whether software platforms, data infrastructures, or AI-powered solutions-aligned with CDS research, teaching, and operational priorities. Working closely with CDS leadership, this role will also be responsible for selecting, scoping, and resourcing projects. The engineer will play a central role in 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 ❯
Data Engineer London (five days per week on site) 65-75k (dependent on experience) The Highlights This global logistics business, based in central London, is undergoing an exciting data transformation programme as it invests in a new team charged with building and implementing a new Azure Databricks platform. Working five days a week in the central London … office, you'll join this growing team and play a key role in building and deploying modern Azure Databricks based data solutions, enabling the business to make faster, data-driven decisions. The business is evolving and maturing its approach to data, creating an opportunity to build data solutions that have a significant impact on the performance … of the business. Working closely with a multi skilled team of the Data Science, Engineers, Analytics and Analyst professionals, you will have the opportunity build your skills in analytics engineering, responding to business and project needs rather than operating as a narrow silo. You'll work hands-on with Azure Databricks, Azure Data Factory, Delta Lake, and More ❯