176 to 200 of 256 Data Engineer Jobs in Central London

A leading global investment firm is seeking a Market Data Engineer to join its London-based team and help build robust, scalable tick data infrastructure that powers systematic trading strategies across asset classes. This is a high-impact engineering role focused on designing and optimizing real-time and historical market data pipelines in a cloud-native … environment. You'll work closely with trading and quant teams to ensure data is clean, fast, and accessible - enabling research, signal generation, and execution at scale. What You'll Do Build and maintain high-performance tick data pipelines for ingesting, processing, and storing large volumes of market data. Work with time-series databases (e.g., KDB, OneTick) and Parquet … based file storage to optimize data access and retrieval. Design scalable cloud-native solutions (AWS preferred) for market data ingestion and distribution. (Bonus) Integrate Apache Iceberg for large-scale data lake management and versioned data workflows. Collaborate with trading and engineering teams to define data requirements and deliver production-grade solutions. Implement robust data More ❯

Do you come from either a Comp Sci or mathematical/algorithmic background, but feel like you haven't fully utilised that in your current data engineer role? If so, this is probably for you. This unique and culture drive hedge fund are looking for quantitative data engineers to join their world class data engineering team … that sits right next to the best algorithmic traders in the world. Some of the problems and data sets you'll work with will be incredibly complex, which is why the team is known for being wolrd class and heavily engineering focussed. You'll also be given the opportunity to use quantitative techniques to dig deep into these data sets, and contribute to this research platform by building ETLs and coding your way towards a solution. So, who do you need to be? You're either: A Data Engineer within the Hedge Fund/Trading space Coming from an outstanding educational background, and work with complex data sets If this is you - get in touch. More ❯

Do you come from either a Comp Sci or mathematical/algorithmic background, but feel like you haven't fully utilised that in your current data engineer role? If so, this is probably for you. This unique and culture drive hedge fund are looking for quantitative data engineers to join their world class data engineering team … that sits right next to the best algorithmic traders in the world. Some of the problems and data sets you'll work with will be incredibly complex, which is why the team is known for being wolrd class and heavily engineering focussed. You'll also be given the opportunity to use quantitative techniques to dig deep into these data sets, and contribute to this research platform by building ETLs and coding your way towards a solution. So, who do you need to be? You're either: A Data Engineer within the Hedge Fund/Trading space Coming from an outstanding educational background, and work with complex data sets If this is you - get in touch. More ❯

AI/Data Engineer (AI) 📍 Location: London (Hybrid – 1 every other week) 💼 up to £600 a day (Inside IR35) The Role As a Data Engineer , you’ll join our cross-functional Product team of software engineers, ML specialists, domain experts, and product leads. You’ll design, build, and deploy AI capabilities that empower intelligence analysts to More ❯

AI/Data Engineer (AI) 📍 Location: London (Hybrid – 1 every other week) 💼 up to £600 a day (Inside IR35) The Role As a Data Engineer , you’ll join our cross-functional Product team of software engineers, ML specialists, domain experts, and product leads. You’ll design, build, and deploy AI capabilities that empower intelligence analysts to More ❯

Our client is a leading hedge fund in London, leveraging cutting-edge technology and data to drive investment decisions across diverse asset classes. They're looking for a skilled Data Engineer to play a crucial role in building and optimizing the firm's data infrastructure. Responsibilities: Design, develop, and maintain robust data pipelines and ETL … processes. Collaborate with data scientists and analysts to support data-driven strategies. Ensure data accuracy, consistency, and security across various data sources. Drive innovation by exploring new technologies and best practices in data engineering. Requirements: Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 1+ years of experience in data engineering. Proficiency in SQL, Python, and big data tools like Spark. Excellent problem-solving skills and a collaborative mindset. More ❯

Our client is a leading hedge fund in London, leveraging cutting-edge technology and data to drive investment decisions across diverse asset classes. They're looking for a skilled Data Engineer to play a crucial role in building and optimizing the firm's data infrastructure. Responsibilities: Design, develop, and maintain robust data pipelines and ETL … processes. Collaborate with data scientists and analysts to support data-driven strategies. Ensure data accuracy, consistency, and security across various data sources. Drive innovation by exploring new technologies and best practices in data engineering. Requirements: Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 1+ years of experience in data engineering. Proficiency in SQL, Python, and big data tools like Spark. Excellent problem-solving skills and a collaborative mindset. More ❯

Insight Global’s client is looking for a Senior Data Engineer to join their Finance and Operations team, responsible for designing and maintaining Azure-based data pipelines and APIs, building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL … experience with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving to mitigate blockers and deliver scalable solutions. Candidates with experience in tools like Snowflake, Airflow, or Terraform, familiarity with infrastructure as code, and exposure to financial … and operational data domains will stand out. This is a full-time onsite position in our London office, working closely with global teams to ensure data quality, automation, and continuous improvement. Please note, this is a 6 month contract-to-hire position and would require you to be on-site 5 days a week out of the London More ❯

Insight Global’s client is looking for a Senior Data Engineer to join their Finance and Operations team, responsible for designing and maintaining Azure-based data pipelines and APIs, building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL … experience with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving to mitigate blockers and deliver scalable solutions. Candidates with experience in tools like Snowflake, Airflow, or Terraform, familiarity with infrastructure as code, and exposure to financial … and operational data domains will stand out. This is a full-time onsite position in our London office, working closely with global teams to ensure data quality, automation, and continuous improvement. Please note, this is a 6 month contract-to-hire position and would require you to be on-site 5 days a week out of the London More ❯

My leading financial services client are looking for a Senior Data Engineer to help develop and expand their global analytics platform, supporting their Commodities front office trading business. You'll work with business stakeholders to understand requirements, design and build robust data pipelines and deliver end-to-end analytics and ML/AI capabilities. This is a … long-term contract role. The following skills/experience is essential: Strong expertise in Python, PySpark, and SQL Extensive hands-on experience with Databricks Familiarity with Data Science and Machine Learning frameworks Previously worked in Financial Services Trading environment Background in DevOps and Infrastructure as Code (IaC) Commodities industry experience is highly desirable Rate: Up to £700/day … Duration: 12 months + Location: London (good work from home options available) If you are interested in this Senior Data Engineer position and meet the above requirements please apply immediately. More ❯

My leading financial services client are looking for a Senior Data Engineer to help develop and expand their global analytics platform, supporting their Commodities front office trading business. You'll work with business stakeholders to understand requirements, design and build robust data pipelines and deliver end-to-end analytics and ML/AI capabilities. This is a … long-term contract role. The following skills/experience is essential: Strong expertise in Python, PySpark, and SQL Extensive hands-on experience with Databricks Familiarity with Data Science and Machine Learning frameworks Previously worked in Financial Services Trading environment Background in DevOps and Infrastructure as Code (IaC) Commodities industry experience is highly desirable Rate: Up to £700/day … Duration: 12 months + Location: London (good work from home options available) If you are interested in this Senior Data Engineer position and meet the above requirements please apply immediately. More ❯

We’re hiring an AI Data Engineer to turn 3D assets and visuals into high-quality datasets for next-gen AI in digital play. Own the full data pipeline and help build scalable, creative systems at the crossroads of AI, data, and fun RESPONSIBILITIES Design and operate data ingestion pipelines for 3D assets, geometry, images … annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP and user privacy. Collaborate with AI infrastructure engineers to optimize data storage and … compute performance for large-scale processing. Work with AI engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with More ❯

We’re hiring an AI Data Engineer to turn 3D assets and visuals into high-quality datasets for next-gen AI in digital play. Own the full data pipeline and help build scalable, creative systems at the crossroads of AI, data, and fun RESPONSIBILITIES Design and operate data ingestion pipelines for 3D assets, geometry, images … annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP and user privacy. Collaborate with AI infrastructure engineers to optimize data storage and … compute performance for large-scale processing. Work with AI engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with More ❯

Data Engineer with C# Dot Net asp.net with SQL Server SSIS SSRS Our Client is a bank based in Central London who are looking to recruit at least 7 years plus experience as a Data Engineer with the ability to work with C# Dot net and SQL Server with SSIS. You must have solid expertise of … in-house systems, i.e. CORE, SharePoint interface, Equation, Kondor, Eximbills, end of day cycle. Support Supporting budgeting and financial planning processes for Finance department, including loading and refreshing of data based on requirements. Understand and conduct the front-end functionality to amend and change hierarchical structures within the environment. Build data flows within the SQL environment in SSIS … processes thereby eliminating the need for duplicate entry. Utilise web services to integrate from cutting edge technology into legacy systems such as Equation. Integrate with all the systems using data abstraction and connectivity layers, i.e. ODBC, ADO.net. ?Duties Maintain knowledge of all applicable regulatory requirements including the Banks Risk and Compliance policies and procedures and adhere to these to More ❯

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to … develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and outputs Set up monitoring and ensure data health for outputs What we … are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary of £50,000-£60,000 £5000 a year professional development budget Wellness program 25 days annual leave Hybrid working arrangements More ❯

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to … develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and outputs Set up monitoring and ensure data health for outputs What we … are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary of £50,000-£60,000 £5000 a year professional development budget Wellness program 25 days annual leave Hybrid working arrangements More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and … collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads … and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and … collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads … and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version More ❯

What you’ll be doing • Managing data into and out of our data warehouse and reporting platforms to ensure accuracy and efficiency. • Definition and quality of KPIs that support effective contact centre operations. • Delivering data development roadmaps aligned to either our Consumer or Enterprise business strategies. • Empowering end users with access to reliable, well-governed data sets in a secure environment. • Troubleshooting complex data issues across multiple source systems and ensuring smooth data operations. • Leading strategic, cross-functional projects to deliver impactful, data-driven solutions, while documenting processes for team-wide support. What skills you’ll need • Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition … modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR, Call Routing). • Proven ability to lead technical teams and deliver end-to-end technology More ❯

What you’ll be doing • Managing data into and out of our data warehouse and reporting platforms to ensure accuracy and efficiency. • Definition and quality of KPIs that support effective contact centre operations. • Delivering data development roadmaps aligned to either our Consumer or Enterprise business strategies. • Empowering end users with access to reliable, well-governed data sets in a secure environment. • Troubleshooting complex data issues across multiple source systems and ensuring smooth data operations. • Leading strategic, cross-functional projects to deliver impactful, data-driven solutions, while documenting processes for team-wide support. What skills you’ll need • Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition … modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR, Call Routing). • Proven ability to lead technical teams and deliver end-to-end technology More ❯

Dunbar Brown Group are delighted to be working with a market leading business in London to find a Senior Data Engineer with a real specialism in Databricks. This role will be working with some amazing customers to deliver data solutions that provide real value. They operate across multiple industries from financial services to pharmaceuticals. The right person … will have at least 5 years experience as a Data Engineer within a cloud environment. Expertise in Databricks and advanced python and SQL skills. In addition, experience with CI/CD and automated testing. This will be a hybrid role with 2-3 days per week in their central London office. *Must have full right to work in More ❯

Dunbar Brown Group are delighted to be working with a market leading business in London to find a Senior Data Engineer with a real specialism in Databricks. This role will be working with some amazing customers to deliver data solutions that provide real value. They operate across multiple industries from financial services to pharmaceuticals. The right person … will have at least 5 years experience as a Data Engineer within a cloud environment. Expertise in Databricks and advanced python and SQL skills. In addition, experience with CI/CD and automated testing. This will be a hybrid role with 2-3 days per week in their central London office. *Must have full right to work in More ❯

JD as below: What you’ll be doing • Managing data into and out of our data warehouse and reporting platforms to ensure accuracy and efficiency. • Definition and quality of KPIs that support effective contact centre operations. • Delivering data development roadmaps aligned to either our Consumer or Enterprise business strategies. • Empowering end users with access to reliable, well … governed data sets in a secure environment. • Troubleshooting complex data issues across multiple source systems and ensuring smooth data operations. • Leading strategic, cross-functional projects to deliver impactful, data-driven solutions, while documenting processes for team-wide support. What skills you’ll need • Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR, Call Routing). • Proven ability to lead technical teams and deliver end-to More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and … collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads … and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and … collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads … and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version More ❯