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Design, build, and optimize scalable AWS data pipelines using Python, SQL, Airflow, Glue, and Redshift to deliver actionable insights across national operations.
Data Engineer building and maintaining data pipelines that power research, analytics, and trading workflows for a London-based investment firm, using Python and cloud environments (ideally AWS).
Designs and evolves data structures for a digital publisher, ensuring robust data systems and accurate reporting for a media company with 100M+ books sold globally.
Data Engineer at Arab Bank Europe in London, building and maintaining SSIS/SSRS data pipelines, regulatory reports, and C# web applications on a 1-year fixed-term contract.
Builds and optimizes cloud-based data pipelines (Databricks, Azure) for client projects, focusing on PySpark, SQL, and API ingestion while collaborating with stakeholders and maintaining infrastructure-as-code.
Designs and maintains data pipelines/ELT processes in Microsoft Fabric to ingest, transform, and deliver data for reporting, optimizing performance and ensuring data quality for a UK fintech pension provider.
Builds AI-driven, full-stack enterprise software for regulated workflows, designing agentic workflows and LLM integrations while collaborating closely with founders to deliver scalable, user-focused features.
Senior Full-Stack Developer on a financial services legacy modernisation programme, building responsive Angular/TypeScript UIs and Java Spring Boot backend services end to end.
Builds and maintains data pipelines using Azure Data Factory, Databricks, Python, and T-SQL to support debt resolution tech in fintech. Focuses on automation, metadata-driven engineering, and data quality in regulated environments.
Builds and maintains a hedge fund’s data platform, designing distributed systems, optimizing pipelines, and ensuring reliability in C#/Python while collaborating on DevOps and infrastructure improvements.
Build and maintain Azure-based data pipelines and integrations for a finance-focused data platform, standardizing and transforming data for analytics and AI use cases.
Data Engineer role at a UK energy-sector company, responsible for designing scalable data pipelines, building ETL/ELT processes, and developing data models using SQL, Python, and open-source frameworks like Spark, Kafka, Airflow, or Dagster.
Data Engineer building scalable data solutions on AWS (PySpark, EMR, Lambda, EC2) to power reporting and analytics for DWP Digital's Management Information team in Sheffield.
Builds and maintains full-stack applications (frontend with React, backend with .NET) for an insurance client, with testing, deployment, and documentation duties. Uses Azure/PostgreSQL and applies AI-assisted dev practices.
Data Engineer in the BI/Data Engineering team in Liverpool, responsible for designing data infrastructure, building datasets and pipelines, and maintaining data models using SQL, Snowflake, Azure Data Warehouse, and Power BI.
Senior Full Stack Developer building a UK SaaS platform using React, TypeScript, C#, .NET, and AWS/Azure across the full development lifecycle.
Designs and delivers scalable Power BI solutions, builds dashboards, and manages Microsoft Fabric components (Lakehouse, Data Warehouse, Pipelines) in an enterprise environment.
Data Engineer at a Manchester-based market research company, building and supporting data products for analytics and machine learning using SQL and Python, with hybrid working (2 days onsite).
Building scalable .NET Core applications and REST APIs on Azure for a loyalty and rewards platform used by millions, while exploring AI-assisted development and agentic workflows to improve engineering productivity.
Full-stack developer building and maintaining .NET/C# web applications, CMS products (BlueCMS, BluePortal), APIs, and client project solutions across the full development lifecycle including deployments, QA/UAT, and support.
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