Data Engineer – Hedge Fund | AWS | SQL | Python | Power BI Location: London Contract: Full-time Salary: £150,000 + Bonus + Benefits A leading hedge fund is seeking a skilled Data Engineer to join its front-office technology team. This is a high-impact role where you’ll work directly with portfolio managers, quants, and analysts to design and deliver … scalable, cloud-based data solutions that power trading and investment strategies. Key Responsibilities Design, build, and optimise data pipelines and ETL workflows using AWS, Python, and SQL. Develop and maintain data models, ensuring accuracy and reliability of trading and market data. Deliver Power BI dashboards and reports to provide real-time insights for investment teams. Partner with stakeholders across … to support research, trading, and risk workflows. What you’ll bring Proven experience as a Data Engineer within financial services, ideally hedge funds or buy-side. Strong expertise in AWS (S3, Glue, Lambda, Redshift, Kinesis, etc.). Advanced skills in Python and SQL for building pipelines and optimising performance. Hands-on experience with Power BI for data visualisation More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Fynity
design solutions using the most appropriate technologies, deploying final implementations on AWS. You’ll bring hands-on depth and knowledge in: Languages: Python, PySpark, SQL Technologies: Spark, Airflow Cloud: AWS (API Gateway, Lambda, Redshift, Glue, CloudWatch, etc.) Data Pipelines: Designing and building modern, cloud-native pipelines using AWS services In addition, you will require strong leadership skills More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Arrows
technical teams to gather requirements and translate them into compelling data stories. Cleanse, profile, and model data using SQL, DBT, and Snowflake. Contribute to projects involving cloud data infrastructure (AWS preferred, especially S3; experience with other platforms also valued). Support the evolution of data processes - potential to get involved in broader SQL, DBT, and AWS financial data … Tableau Public profile. Advanced SQL skills; hands-on experience with Snowflake and DBT is a plus. Experience working with large datasets and performing data profiling and cleansing. Familiarity with AWS (especially S3; Lambda less important), or similar cloud platforms. Experience with IT asset management is a bonus. Excellent communication skills - able to engage confidently with stakeholders at all More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Arrows
technical teams to gather requirements and translate them into compelling data stories. Cleanse, profile, and model data using SQL, DBT, and Snowflake. Contribute to projects involving cloud data infrastructure (AWS preferred, especially S3; experience with other platforms also valued). Support the evolution of data processes - potential to get involved in broader SQL, DBT, and AWS financial data … Tableau Public profile. Advanced SQL skills; hands-on experience with Snowflake and DBT is a plus. Experience working with large datasets and performing data profiling and cleansing. Familiarity with AWS (especially S3; Lambda less important), or similar cloud platforms. Experience with IT asset management is a bonus. Excellent communication skills - able to engage confidently with stakeholders at all More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harrington Starr
into actionable intelligence, working closely with data scientists, quants, and business stakeholders to shape cutting-edge betting products. Key Responsibilities Build and optimise data pipelines and ETL workflows in AWS using Python and SQL. Partner with analysts and quants to deliver reliable datasets for predictive modelling and pricing. Design and maintain data models supporting trading, risk, and customer behaviour … experience as a Data Engineer in sports betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting … growing sports betting business shaping the future of data-driven gaming. Direct exposure to modelling projects that influence trading, pricing, and customer engagement. Opportunity to work with a modern AWS cloud stack and cutting-edge data tools. Competitive salary, strong bonus potential, and career progression. A collaborative, high-performance culture at the intersection of data and sports. If you More ❯
identify, assess, manage, and mitigate risks effectively. Their platform offers software solutions that support enterprise risk management, compliance management, health and safety, and incident reporting. Stack: React, Node, Nextjs, AWS Responsibilites: Develop and maintain responsive web applications using React and Next.js for frontend development. Write scalable, reusable, and efficient TypeScript code for both frontend and backend. Build and manage … APIs with Node.js to handle server-side logic and integrate with databases and external services. Design, implement, and deploy cloud-based applications on AWS, including services like EC2, Lambda, and S3. Collaborate with design and product teams to translate user needs into functional, high-performance features. Please get in touch to know more. More ❯
london (city of london), south east england, united kingdom
Explore Group
identify, assess, manage, and mitigate risks effectively. Their platform offers software solutions that support enterprise risk management, compliance management, health and safety, and incident reporting. Stack: React, Node, Nextjs, AWS Responsibilites: Develop and maintain responsive web applications using React and Next.js for frontend development. Write scalable, reusable, and efficient TypeScript code for both frontend and backend. Build and manage … APIs with Node.js to handle server-side logic and integrate with databases and external services. Design, implement, and deploy cloud-based applications on AWS, including services like EC2, Lambda, and S3. Collaborate with design and product teams to translate user needs into functional, high-performance features. Please get in touch to know more. More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
Ada Meher
the market leader in Digital Telecommunication & Broadcasting technology solutions as they recruit for a Senior Data Engineer to join them on their migration project from on-prem to an AWS based Enterprise Data Platform. The successful candidate will be working hands on with batch and streaming pipelines, designing systems from scratch and taking a more strategic view of the … and experience working on large-scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering platforms from scratch Alongside their commitment to work-life balance the business also has More ❯
Role : Mid level Full Stack Engineer Salary range: 60-70k Location : Central London (x1 day per week onsite - flex on day) Tech stack includes : React, Typescript, NodeJS, AWS serverless (DynamoDB, Lambda, AppSync GraphQL, ElasticSearch). Current team size : x3 Engineers We're working with a B2B SaaS startup company based in London building an R&D tax More ❯
london (city of london), south east england, united kingdom
Gravitas Recruitment Group (Global) Ltd
Role : Mid level Full Stack Engineer Salary range: 60-70k Location : Central London (x1 day per week onsite - flex on day) Tech stack includes : React, Typescript, NodeJS, AWS serverless (DynamoDB, Lambda, AppSync GraphQL, ElasticSearch). Current team size : x3 Engineers We're working with a B2B SaaS startup company based in London building an R&D tax More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
Ada Meher
the market leader in Digital Telecommunication & Broadcasting technology solutions as they recruit for a Principal Data Engineer to join them on their migration project from on-prem to an AWS based Enterprise Data Platform. The successful candidate will be working hands on with batch and streaming pipelines, designing systems from scratch and taking a more strategic view of the … and experience working on large-scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering platforms from scratch Alongside their commitment to work-life balance the business also has More ❯
helping shape and deliver scalable, cloud-native data solutions for household-name clients. What you’ll be doing Designing, building and maintaining robust data pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams … experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A consultancy mindset – adaptable, collaborative, and delivery-focused Apply now or contact Bright Purple to find out more about this opportunity with one of the UK More ❯
london (city of london), south east england, united kingdom
BRIGHT PURPLE RESOURCING LTD
helping shape and deliver scalable, cloud-native data solutions for household-name clients. What you’ll be doing Designing, building and maintaining robust data pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams … experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A consultancy mindset – adaptable, collaborative, and delivery-focused Apply now or contact Bright Purple to find out more about this opportunity with one of the UK More ❯
solutions. What You’ll Bring Proven background as a Data Architect or similar data-led engineering role. Strong technical capability across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate More ❯
london (city of london), south east england, united kingdom
Opensourced® Agency
solutions. What You’ll Bring Proven background as a Data Architect or similar data-led engineering role. Strong technical capability across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate More ❯
preferred). 5+ years’ experience developing and deploying ML models in production environments. Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face. Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.). Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning, generative AI, or computer vision. Solid More ❯
unsupervised learning, and the judgement to apply the right approach Previous experience developing real-world ML products in areas like demand forecasting, optimisation, or computer vision Comfortable working with AWS services (e.g. SageMaker, Lambda) Strong grasp of statistics and modelling, with the ability to turn raw data into actionable insight Willingness to learn the basics of backend development More ❯
