london (city of london), south east england, united kingdom Hybrid / WFH Options
Tenth Revolution Group
Data Engineer – Azure, SQL, Databricks SDS yet to be determined - could be inside or outside Flexible day rate - 3-6 months Location: Hybrid (London-based) Type: Contract Industry: Consultancy We are looking for a skilled Data Engineer to join a fast-paced consultancy delivering data-driven solutions across a range of industries. This role is ideal for … someone who thrives in client-facing environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and … translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance tuning across cloud-based platforms. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to deliver end-to-end data solutions. Ensure data security, compliance, and governance standards are met across all projects. Required Skills Strong More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
SRG
Graduate Opportunity: Data & Technology – Regulatory Affairs Location: London, White City – Hybrid (minimum 3 days in-office) Contract: 12-month Fixed Term Salary: £31,050 + Holiday allowance Are you a data-driven graduate ready to make an impact in a global organization? This exciting opportunity sits within Regulatory Affairs and supports the development of a future-ready data strategy and management platform. You’ll help evolve how data is viewed and utilized across teams, contributing to meaningful change in how we operate. What You’ll Be Doing Data Accuracy & Analytics: Identify and address data inaccuracies, support analytics efforts, and interpret complex datasets. Reporting & Power BI: Drive visibility through reporting and analytics. Help implement Power … BI and define reporting standards. Campaign Support: Contribute to initiatives like the “Data Matters” campaign, promoting data awareness and engagement. Regulatory Alignment: Collaborate with health agency regulatory teams to ensure data readiness and compliance. Strategic Insight: Assess current data practices, define future goals, and help shape the roadmap to get there. Governance & Stewardship: Support dataMore ❯
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 datascience 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). 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 datascience 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). More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Travelex
Job Title: Data Engineer Job Type: Full Time, Permanent Working location: London, Hybrid (3 office days a week) Role Purpose At Travelex we are developing modern data services, which will be at the heart of our relationship with our customers. Our data architecture is becoming more service-oriented and more real-time – which creates a range of … engineering problems for you to solve. Our work is fast-paced although our team remains collaborative and flexible even when delivering fast. As a Data Engineer, you’ll collaborate with stakeholders across the business to design and deliver new components of our data landscape. You’ll own your work end-to-end, from defining the approach, through coding … have significant impact on how our business evolves and the freedom to shape solutions in your own way. Key Responsibilities Here are key things you’ll do as a data engineer in our team. The list isn’t complete: as a competent engineer, you’ll bring to Travelex your own ideas of what else is needed to become a More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Travelex
Job Title: Data Engineer Job Type: Full Time, Permanent Working location: London, Hybrid (3 office days a week) Role Purpose At Travelex we are developing modern data services, which will be at the heart of our relationship with our customers. Our data architecture is becoming more service-oriented and more real-time – which creates a range of … engineering problems for you to solve. Our work is fast-paced although our team remains collaborative and flexible even when delivering fast. As a Data Engineer, you’ll collaborate with stakeholders across the business to design and deliver new components of our data landscape. You’ll own your work end-to-end, from defining the approach, through coding … have significant impact on how our business evolves and the freedom to shape solutions in your own way. Key Responsibilities Here are key things you’ll do as a data engineer in our team. The list isn’t complete: as a competent engineer, you’ll bring to Travelex your own ideas of what else is needed to become a More ❯
City of London, London, United Kingdom Hybrid / WFH Options
InterEx Group
Job Title: Gen AI Consultant Location: Fully Remote Job Type: Contract/Contract-to-hire Responsibilities: Data Engineering: Collaborate with cross-functional teams to design and implement data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes. Work with diverse healthcare datasets, integrating and cleaning data from various sources to create a unified and reliable data infrastructure. Develop and maintain databases, ensuring data quality, integrity, and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and … the latest advancements in genomics, healthcare, and AI technologies. Contribute to the development of new methodologies and tools to enhance our service offerings. Qualifications: Bachelor's degree in Computer Science, DataScience, or a related field. Strong foundation in data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. More ❯
Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data Engineering, DataScience, Cloud and DevOps teams in order to help build and scale their ML and data platforms across Azure. This role will require … days a week in the office. What will you be doing? Deploy and manage ML models across dev to production at scale Build and maintain cloud-based datascience environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for … Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity with finance or data viz tools (Power BI/Tableau, Excel More ❯
london (city of london), south east england, united kingdom
Harrington Starr
Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data Engineering, DataScience, Cloud and DevOps teams in order to help build and scale their ML and data platforms across Azure. This role will require … days a week in the office. What will you be doing? Deploy and manage ML models across dev to production at scale Build and maintain cloud-based datascience environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for … Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity with finance or data viz tools (Power BI/Tableau, Excel More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Singular Recruitment
Data Scientist (one day a week in the central London office) Sports Analytics This role is a unique opportunity for a Data Scientist to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, youll not only be part of a creative and open work culture focused on innovation and excellence but … making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed … stakeholders. Collaborate with football analysts, coaches, and other stakeholders to understand their needs and provide actionable insights. Stay updated with the latest trends and advancements in sports analytics and data science. As the selected Data Scientist, your background will include: 3+ years industry experience in a DataScience role and a strong academic background Python DataMore ❯
Data Scientist – Hedge Fund (New launch long/short equity) A newly launched long/short hedge fund specialising in the global Industrials sector is seeking a Data Scientist to help shape its data-driven investment strategy. The firm combines fundamental research with advanced datascience, building scalable infrastructure where insights directly influence portfolio performance. … The Role The Data Scientist will originate and analyse novel datasets, build predictive models, and deliver insights that drive investment decisions. The position involves working closely with investors and engineers to forecast key company KPIs, design real-time dashboards, and develop best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a … plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools (Tableau or similar) 2–6 years’ relevant experience and a strong quantitative background Ability to source and structure new datasets and collaborate across disciplines Opportunity This role offers the chance to make an immediate impact More ❯
london (city of london), south east england, united kingdom
Radley James
Data Scientist – Hedge Fund (New launch long/short equity) A newly launched long/short hedge fund specialising in the global Industrials sector is seeking a Data Scientist to help shape its data-driven investment strategy. The firm combines fundamental research with advanced datascience, building scalable infrastructure where insights directly influence portfolio performance. … The Role The Data Scientist will originate and analyse novel datasets, build predictive models, and deliver insights that drive investment decisions. The position involves working closely with investors and engineers to forecast key company KPIs, design real-time dashboards, and develop best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a … plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools (Tableau or similar) 2–6 years’ relevant experience and a strong quantitative background Ability to source and structure new datasets and collaborate across disciplines Opportunity This role offers the chance to make an immediate impact More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Understanding Recruitment
Data Scientist - Energy Tech Start Up - London A fast-growing startup revolutionising the energy sector are looking for talented Data Scientists to join their team. What Will You Be Doing: You'll be at the forefront of datascience innovations in the energy sector, working on projects that directly impact climate change through: Developing and deploying … machine learning models for energy optimisation Analysing complex time-series data to drive insights and decision-making Working directly with clients to understand their needs and implement solutions Contributing to the company's core technology platform and expanding its capabilities Collaborating with cross-functional teams to drive innovation in energy systems What We're Looking For: Strong background in … datascience and machine learning, particularly with time-series data Python expertise with experience in deploying models to production Experience with Docker containerisation and cloud platforms (preferably GCP) Knowledge of electricity systems and power trading is advantageous Excellent communication skills for client interactions Deep interest in climate tech and sustainability What's In It For You: Salary More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Vertex Search
Quant Data Engineer - London OR Dublin - leading trading firm - exceptional comp & bens Our world-renowned client is looking to hire a Quant Data Engineer into a varied role at the intersection of technology, datascience, and quantitative research. Responsibilities As part of the Quant Engineering and Data team, you’ll sit closely with Researchers, Developers … and Traders and collaborate on a range of technology projects including: Research enablement work related to trading activities, using a range of datascience, analysis, and engineering skills. Writing, testing, and deploying Python code that creates new model features, analyses complex datasets, optimizes algorithms/quant code, and defines data orchestration. Partnering with researchers in the research … your technical expertise to drive results. What you'll bring 2+ years professional experience in Python, including use of NumPy and other scientific libraries. A passion for working with data/dataframes and solving data-related challenges. Strong Pandas experience is required. Minimum bachelors degree in a STEM subject at a reputable academic institution. A desire to work More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Vertex Search
Quant Data Engineer - London OR Dublin - leading trading firm - exceptional comp & bens Our world-renowned client is looking to hire a Quant Data Engineer into a varied role at the intersection of technology, datascience, and quantitative research. Responsibilities As part of the Quant Engineering and Data team, you’ll sit closely with Researchers, Developers … and Traders and collaborate on a range of technology projects including: Research enablement work related to trading activities, using a range of datascience, analysis, and engineering skills. Writing, testing, and deploying Python code that creates new model features, analyses complex datasets, optimizes algorithms/quant code, and defines data orchestration. Partnering with researchers in the research … your technical expertise to drive results. What you'll bring 2+ years professional experience in Python, including use of NumPy and other scientific libraries. A passion for working with data/dataframes and solving data-related challenges. Strong Pandas experience is required. Minimum bachelors degree in a STEM subject at a reputable academic institution. A desire to work More ❯
robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for Senior/Staff Data Engineer to join our team based in London, UK. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that … labour needs. Responsibilities Curate, preprocess, and manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best … practices for data management, including versioning, security, and compliance. Expertise Bachelor’s or Master’s degree in DataScience, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning More ❯
london (city of london), south east england, united kingdom
Humanoid
robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for Senior/Staff Data Engineer to join our team based in London, UK. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that … labour needs. Responsibilities Curate, preprocess, and manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best … practices for data management, including versioning, security, and compliance. Expertise Bachelor’s or Master’s degree in DataScience, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Oscar
Job Title: Data & Analytics Consultant Location: London Bridge & Hybrid (3 days a week) Salary: £50,000 - £75,000, flexible dependent on experience We’re partnering with a leading data & analytics consultancy that helps organisations turn data into actionable insights. They combine analytics, technology, and consulting to deliver high-impact solutions across a range of industries. The Role … You’ll join the Delivery team, leading client projects end-to-end—from understanding business needs to designing and implementing data solutions. At the Manager or Senior level, you’ll also mentor team members and manage project delivery to ensure excellence, on time and on budget. What You’ll Do: Lead client engagements and design tailored data and … analytics solutions. Manage project plans, deadlines, and resources effectively. Analyse data to uncover trends, patterns, and actionable insights. Build dashboards and visualisations to clearly communicate insights. Mentor and guide junior team members. Maintain data security and implement best practices. What We’re Looking For: 3 - 4+ years in data and analytics consulting (more for senior roles). More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Oscar
Job Title: Data & Analytics Consultant Location: London Bridge & Hybrid (3 days a week) Salary: £50,000 - £75,000, flexible dependent on experience We’re partnering with a leading data & analytics consultancy that helps organisations turn data into actionable insights. They combine analytics, technology, and consulting to deliver high-impact solutions across a range of industries. The Role … You’ll join the Delivery team, leading client projects end-to-end—from understanding business needs to designing and implementing data solutions. At the Manager or Senior level, you’ll also mentor team members and manage project delivery to ensure excellence, on time and on budget. What You’ll Do: Lead client engagements and design tailored data and … analytics solutions. Manage project plans, deadlines, and resources effectively. Analyse data to uncover trends, patterns, and actionable insights. Build dashboards and visualisations to clearly communicate insights. Mentor and guide junior team members. Maintain data security and implement best practices. What We’re Looking For: 3 - 4+ years in data and analytics consulting (more for senior roles). More ❯
DataScience Manager Up to £85,000 Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation. Responsibilities: Stay hands-on while advising business leaders on data-driven decisions. Drive improvements in client and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics More ❯
london (city of london), south east england, united kingdom
Harnham
DataScience Manager Up to £85,000 Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation. Responsibilities: Stay hands-on while advising business leaders on data-driven decisions. Drive improvements in client and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Datatech Analytics
Job Title Senior Data Scientist - CRM Location London – hybrid working (2/3 days in City offices) Salary To c£75,000 negotiable DoE Job Reference J13015 POSITION OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer … insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how datascience is delivered, working closely with DataScience teams and IT partners to build for the future, not maintain the past. They are looking for a passionate and experienced Senior Data Scientist/… and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED SKILLS & EXPERIENCE Proven experience in machine learning, particularly in recommendation systems More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Datatech Analytics
Job Title Senior Data Scientist - CRM Location London – hybrid working (2/3 days in City offices) Salary To c£75,000 negotiable DoE Job Reference J13015 POSITION OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer … insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how datascience is delivered, working closely with DataScience teams and IT partners to build for the future, not maintain the past. They are looking for a passionate and experienced Senior Data Scientist/… and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED SKILLS & EXPERIENCE Proven experience in machine learning, particularly in recommendation systems More ❯
Senior Data Engineer – HealthTech/AI-Driven Data Platform Paddington, London £75,000 – £100,000 + Equity + Benefits We’re partnered with a fast-growing HealthTech company using data and AI to transform how healthcare organisations manage clinical and operational insights. Their platform integrates complex datasets from multiple health systems, enabling better decision-making, faster diagnosis … and measurable patient impact. As they scale their data capability, they’re hiring a Data Engineer to play a key role in designing and delivering the next generation of their data platform. What you’ll be doing Designing, developing, and optimising scalable data pipelines that power advanced analytics and machine learning. Building and maintaining robust ETL …/ELT workflows using Python, SQL, dbt, and cloud-native tools . Implementing data quality, observability, and governance frameworks to ensure reliability and compliance. Collaborating with data scientists, analysts, and clinicians to enable actionable insights through clean, well-modelled data. Driving technical decisions across Azure Databricks , GCP BigQuery , and other modern data technologies. Working on-site in More ❯
Lead Data Engineer As a Lead Data Engineer, you’ll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements. … Design and implement a scalable, reliable, and cost-efficient modern cloud data platform. Build and maintain robust ETL/ELT pipelines for processing and managing large volumes of structured and unstructured data. Create and manage Power BI dashboards, reports, and data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into … our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ More ❯