226 to 250 of 256 Data Engineer Jobs in Central London

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and More ❯

BettingJobs are working with an AI-powered B2B marketing company based in London . They are looking for a Data Engineer to join their team. Responsibilities: Analyse raw and messy data Calibrate, deploy and monitor machine learning models Deploy, monitor and manage data pipelines (daily batch jobs as well as real time streaming data) Visualise … results Communicate technical problems and solutions to non-technical team members Optimise the product by continuously tweaking how automated decisions are being made Requirements: Proven experience in applying data analysis and machine learning to real-world problems Proven experience managing production data pipelines Understanding of predictive modelling, machine-learning, clustering and classification techniques Fluency in Python and SQL More ❯

BettingJobs are working with an AI-powered B2B marketing company based in London . They are looking for a Data Engineer to join their team. Responsibilities: Analyse raw and messy data Calibrate, deploy and monitor machine learning models Deploy, monitor and manage data pipelines (daily batch jobs as well as real time streaming data) Visualise … results Communicate technical problems and solutions to non-technical team members Optimise the product by continuously tweaking how automated decisions are being made Requirements: Proven experience in applying data analysis and machine learning to real-world problems Proven experience managing production data pipelines Understanding of predictive modelling, machine-learning, clustering and classification techniques Fluency in Python and SQL More ❯

ROLE TITLE: Data Engineer LOCATION: London CLEARANCE: The ideal candidate will have active SC Clearance or be eligible to undergo SC Clearance. We are actively looking to secure multiple Data Engineers to join Experis. Experis Consultancy is a Global entity with a well-established team with over 1000 consultants on assignment across 20 clients globally. Our UK More ❯

ROLE TITLE: Data Engineer LOCATION: London CLEARANCE: The ideal candidate will have active SC Clearance or be eligible to undergo SC Clearance. We are actively looking to secure multiple Data Engineers to join Experis. Experis Consultancy is a Global entity with a well-established team with over 1000 consultants on assignment across 20 clients globally. Our UK More ❯

Role Overview: We are looking for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes. Key Responsibilities and Skills: - Integrate and Scale: Extend, scale, monitor, and manage our ever-growing pile of … bringing innovative solutions to the table. Qualifications: - Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential. - Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions - Speak AI language: Understand the fundamentals of ML/AI and communicate effectively … with AI and Data Scientists. - Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus. - Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. - Bonus Points: Experience with Airbyte is a significant advantage. Perks and Benefits: - Hybrid/Remote More ❯

About the Role A leading global trading and investment firm is looking for Data Engineers to join its core data function. The team plays a key role in powering research, modelling, and trading strategies through high-quality, well-managed data systems. This is a hands-on engineering position within a small but growing team. You’ll work … across the full data lifecycle - from design to delivery - helping to shape and scale the firm’s data platform over the next few years. The ideal candidate will bring strong technical ability, curiosity, and a drive to build robust, high-performance systems. Key Responsibilities Partner with quantitative researchers, developers, and portfolio teams to turn business needs into practical … scalable data solutions. Extend and optimise the data warehouse by integrating new data sources and improving system performance, scalability, and reliability. Help define best practices for data quality, governance, and platform architecture. Evaluate and implement modern tools and frameworks for managing, querying, and streaming large datasets. Build and maintain automated processes for data validation, anomaly More ❯

Inside around £500/day Starting ASAP for 6 months - likely to extend About the Role We’re partnering with a financial client that’s undertaking a large-scale data transformation, modernising legacy systems and building a unified analytics platform in the cloud. As part of this initiative, you’ll play a key role in developing and optimising a … Snowflake-based data warehouse and delivering high-quality visualisations and reporting through Power BI. The role offers the chance to work on greenfield architecture, migrate legacy SQL Server solutions and collaborate closely with senior stakeholders on complex, high-impact data initiatives. What You’ll Be Doing Design, develop and maintain data pipelines and models using Snowflake, dbt … and Python. Enhance and support Power BI dashboards and data models, ensuring performance, accuracy and user accessibility. Contribute to the migration of legacy SQL Server (SSIS/SSAS/SSRS) systems into a modern Snowflake/Power BI environment. Work collaboratively with business users to understand requirements, translate them into technical solutions and deliver robust, scalable data products. More ❯

Inside around £500/day Starting ASAP for 6 months - likely to extend About the Role We’re partnering with a financial client that’s undertaking a large-scale data transformation, modernising legacy systems and building a unified analytics platform in the cloud. As part of this initiative, you’ll play a key role in developing and optimising a … Snowflake-based data warehouse and delivering high-quality visualisations and reporting through Power BI. The role offers the chance to work on greenfield architecture, migrate legacy SQL Server solutions and collaborate closely with senior stakeholders on complex, high-impact data initiatives. What You’ll Be Doing Design, develop and maintain data pipelines and models using Snowflake, dbt … and Python. Enhance and support Power BI dashboards and data models, ensuring performance, accuracy and user accessibility. Contribute to the migration of legacy SQL Server (SSIS/SSAS/SSRS) systems into a modern Snowflake/Power BI environment. Work collaboratively with business users to understand requirements, translate them into technical solutions and deliver robust, scalable data products. More ❯

Data Engineer | AI-Powered SaaS Scale-Up | London (Hybrid) Salary - up to £45,000 PA Depending on Experience London (Hybrid: Monday–Wednesday in office) JOB REF : J13027 We’re working with a fast growing tech company that’s helping some of the best known brands in the UK turn first-party data into real business advantage. To … maintenance role It’s about building, learning, and being part of something that’s scaling fast. You’ll work alongside talented AI Engineers and Analysts, learning how to productionise data and machine learning at scale, and seeing how clean engineering directly shapes how businesses make decisions. You’ll be hands on with Python, SQL, and cloud (Azure, AWS, or … GCP), building structured pipelines, integrating ML outputs, and automating processes that keep data flowing securely and reliably. This is an amazing opportunity for someone early in their data engineering career who craves exposure to AI, automation, and cloud-based delivery - Not just theory, but the real thing. If that sounds like your kind of challenge, let’s have More ❯

Data Engineer | AI-Powered SaaS Scale-Up | London (Hybrid) Salary - up to £45,000 PA Depending on Experience London (Hybrid: Monday–Wednesday in office) JOB REF : J13027 We’re working with a fast growing tech company that’s helping some of the best known brands in the UK turn first-party data into real business advantage. To … maintenance role It’s about building, learning, and being part of something that’s scaling fast. You’ll work alongside talented AI Engineers and Analysts, learning how to productionise data and machine learning at scale, and seeing how clean engineering directly shapes how businesses make decisions. You’ll be hands on with Python, SQL, and cloud (Azure, AWS, or … GCP), building structured pipelines, integrating ML outputs, and automating processes that keep data flowing securely and reliably. This is an amazing opportunity for someone early in their data engineering career who craves exposure to AI, automation, and cloud-based delivery - Not just theory, but the real thing. If that sounds like your kind of challenge, let’s have More ❯

so exposure to Azure, ADF and Azure DevOps would also be highly beneficial.Principal Responsibilities: Perform the day to day running of the ETL processes that feed into the central data repository. Work with key stakeholders and other teams to gather requirements, identify where the data is located and to then implement the required changes. Continue to improve the … existing processes, including optimisation and maintenance improvements. Diagnose any issues with the data, the processing of that data and any associated code. Work with other teams as a subject matter expert for the data model and associated lineage. To ensure that robust data quality checks are embedded in the code to reflect established business processes. To … support the Data Analytics team with data reconciliation issues. Working with the overall team to assist in migrating to the cloud. More ❯

chains, creating a technology that will eliminate supply chain unknowns to drive down costs, achieve carbon targets, and strengthen supply chain resilience. We're helping them hire a Lead Data and AI Engineer. This ambitious company was incorporated in early 2025 and has since built strong momentum. Backed by leading climate-tech investors, alongside a long list of angel … of the world’s largest manufacturing companies, they’re now building the founding technical team that will power the next stage of growth. Job Description As Atmospheric’s Lead Data and AI Engineer, you will join the founding team as its technical leader. This is a zero-to-one opportunity for you to architect and build the company … s core data and AI systems from the ground up, shaping both the technical roadmap and the foundations of a category-defining platform. You won’t just execute — you’ll define the technical roadmap, establish best practices, and shape the foundation of Atmospheric AI’s intelligence layer. The role offers immense autonomy and the opportunity to have a deep More ❯

chains, creating a technology that will eliminate supply chain unknowns to drive down costs, achieve carbon targets, and strengthen supply chain resilience. We're helping them hire a Lead Data and AI Engineer. This ambitious company was incorporated in early 2025 and has since built strong momentum. Backed by leading climate-tech investors, alongside a long list of angel … of the world’s largest manufacturing companies, they’re now building the founding technical team that will power the next stage of growth. Job Description As Atmospheric’s Lead Data and AI Engineer, you will join the founding team as its technical leader. This is a zero-to-one opportunity for you to architect and build the company … s core data and AI systems from the ground up, shaping both the technical roadmap and the foundations of a category-defining platform. You won’t just execute — you’ll define the technical roadmap, establish best practices, and shape the foundation of Atmospheric AI’s intelligence layer. The role offers immense autonomy and the opportunity to have a deep More ❯

as of 12 months ending December 2024 totaled $13.8 billion. Experience : Minimum 10+ Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance Good Understanding of Airflow,Data Fusion and Data Flow Strong … Background and experience in Data Ingestions,Transformation,Modeling and Performance tuning. One migration Experience from Cornerstone to GCP will be added advantage Suppport the design and development of BigData echosystem Experience in building complex SQL Queries Strong Communication Skills More ❯

Market Data Support Engineer – Global Proprietary Trading Firm - WFH - London We’re partnered with a global proprietary trading firm that combines advanced technology, data-driven research, and world-class engineering to operate across all major financial markets. With a reputation built on innovation and autonomy, the firm empowers its technologists to design and deliver systems that keep … trading operations running with precision and speed. This is a high-impact opportunity to join a tight-knit Market Data Support team, working at the intersection of development, infrastructure, and production support for mission-critical trading systems. The Opportunity You’ll join a small, collaborative team of engineers who’ve transitioned from development into a hands-on support and … automation role. The group oversees the market data systems that power real-time decision-making across asset classes — ensuring performance, stability, and reliability in one of the most demanding trading environments in the world. This is not a traditional support role. You’ll be deep in the code, scripting, debugging, and automating complex workflows while working closely with development More ❯

Market Data Support Engineer – Global Proprietary Trading Firm - WFH - London We’re partnered with a global proprietary trading firm that combines advanced technology, data-driven research, and world-class engineering to operate across all major financial markets. With a reputation built on innovation and autonomy, the firm empowers its technologists to design and deliver systems that keep … trading operations running with precision and speed. This is a high-impact opportunity to join a tight-knit Market Data Support team, working at the intersection of development, infrastructure, and production support for mission-critical trading systems. The Opportunity You’ll join a small, collaborative team of engineers who’ve transitioned from development into a hands-on support and … automation role. The group oversees the market data systems that power real-time decision-making across asset classes — ensuring performance, stability, and reliability in one of the most demanding trading environments in the world. This is not a traditional support role. You’ll be deep in the code, scripting, debugging, and automating complex workflows while working closely with development More ❯

A fast-growing macro hedge fund is seeking a technically sharp and curious individual to join a high-impact team at the intersection of technology, data, and investment operations. Operating in a fast-paced, high-performance environment, the fund values autonomy, initiative, and smart problem-solving. This is a unique opportunity to work across all areas of the business … firm's technology infrastructure as it scales. About the Role This is a broad, hands-on position where you'll work directly with investment and operational teams to streamline data flows, automate processes, and enhance system efficiency. From day one, you'll be given real ownership of projects that span infrastructure, reporting, and tooling-making a tangible impact on … the fund's performance and scalability. Key Responsibilities Build and maintain robust data pipelines and automations using Python, SQL, and Excel/VBA Integrate external data feeds and APIs into internal systems and databases Develop dashboards and reporting tools to support trading, risk, and operations Manage infrastructure hosted on Microsoft Azure, including VMs and storage Use Git for More ❯

A fast-growing macro hedge fund is seeking a technically sharp and curious individual to join a high-impact team at the intersection of technology, data, and investment operations. Operating in a fast-paced, high-performance environment, the fund values autonomy, initiative, and smart problem-solving. This is a unique opportunity to work across all areas of the business … firm's technology infrastructure as it scales. About the Role This is a broad, hands-on position where you'll work directly with investment and operational teams to streamline data flows, automate processes, and enhance system efficiency. From day one, you'll be given real ownership of projects that span infrastructure, reporting, and tooling-making a tangible impact on … the fund's performance and scalability. Key Responsibilities Build and maintain robust data pipelines and automations using Python, SQL, and Excel/VBA Integrate external data feeds and APIs into internal systems and databases Develop dashboards and reporting tools to support trading, risk, and operations Manage infrastructure hosted on Microsoft Azure, including VMs and storage Use Git for More ❯

A rapidly growing company in the B2B Software as a Service (SaaS) space are looking for a Deployed Engineer to join their expanding team in London (hybrid working - 2-3 days a week in their modern office space). Their product is a platform that acts as a "digital twin" of a their customers businesses - integrating internal and external … data from a variety of sources to act as a "single source of truth", powering actionable insights at scale. When combined with AI algorithms, the platform drives strategic decision-making, and enables planning and effective execution, allowing businesses to achieve their targeted state. They are a true pioneer in their field! They believe the future of B2B SaaS is … just in the codebase, but in the implementation layer - making this role ideal for someone who thrives in dynamic, customer-facing environments. The role: Adapt and deploy a powerful data platform to solve complex business problems Design scalable generative AI workflows using modern platforms like Palantir AIP Execute advanced data integration using PySpark and distributed technologies Collaborate directly More ❯

A rapidly growing company in the B2B Software as a Service (SaaS) space are looking for a Deployed Engineer to join their expanding team in London (hybrid working - 2-3 days a week in their modern office space). Their product is a platform that acts as a digital twin of a business - integrating internal and external data … just in the codebase, but in the implementation layer - making this role ideal for someone who thrives in dynamic, customer-facing environments. The role: Adapt and deploy a powerful data platform to solve complex business problems Design scalable generative AI workflows using modern platforms like Palantir AIP Execute advanced data integration using PySpark and distributed technologies Collaborate directly … business leaders Be part of a mission-driven company with a strong social impact ethos If you're excited by the idea of working at the intersection of AI, data, and enterprise transformation - and want to be part of a fast-scaling, values-led team - we'd love to hear from you. Please Note: This is a role for More ❯

shape the future of real estate technology. Role Responsibilities Architect, build, and optimise scalable ETL pipelines for diverse datasets. Onboard, document, and curate external datasets for internal use. Perform data validation, forensic analysis, and troubleshooting. Deliver high-quality, maintainable Python code and participate in peer reviews. Collaborate with stakeholders and researchers to support analytics and product development. Integrate data from APIs, S3 buckets, and structured/unstructured sources (JSON, CSV, Excel, PDF, Parquet). Join geospatial datasets with external data sources and apply complex transformations. Define validated data schemas and create clear documentation for partners and teams. Explore and evaluate new data engineering tools and technologies. Role Requirements 5+ years' experience in data engineering … analytics, or related roles. Strong proficiency in Python, with demonstrated experience on large-scale projects. Solid understanding of algorithms, data structures, and relational databases. Experience with test-driven development and Git version control. Portfolio of past work (GitHub contributions, open-source, blogs, or demos). Knowledge of data cleansing, validation, and basic statistics. Background in working with Agile More ❯

an exciting opportunity to specialise in one of the fastest-growing technology markets and collaborate with some of the most experienced leaders in the field. Responsibilities: Develop and maintain data pipelines and ETL processes Analyse client challenges and design tailored solutions Collaborate on implementing AI and machine learning models Serve as a point of contact, providing consultative guidance and More ❯

an exciting opportunity to specialise in one of the fastest-growing technology markets and collaborate with some of the most experienced leaders in the field. Responsibilities: Develop and maintain data pipelines and ETL processes Analyse client challenges and design tailored solutions Collaborate on implementing AI and machine learning models Serve as a point of contact, providing consultative guidance and More ❯