Tech jobs
Job listings
Hybrid Data Engineer: PySpark & AWS for Scalable Analytics
Data Engineer building PySpark ETL pipelines on AWS (EMR, Lambda, EC2) to power reporting and analytics for DWP Digital, utilizing a hybrid work model.
Data Engineer - AWS, Spark & AI
Build scalable data pipelines using Python, SQL, Spark, and AWS at a fast-growing startup, leveraging AI-assisted tools for large-scale data processing.
SL Transformation-Senior Data Engineer
Design, develop, and maintain scalable data pipelines and platforms (ETL/ELT, data warehouses) using cloud tech and Python/Spark to support analytics and business transformation initiatives.
Civil Construction Data Engineer - Dashboards & Analytics
Manages and coordinates construction data for secondary steelworks installation on the HPC Nuclear Island, using dashboards to support delivery and decision making; requires digital engineering, construction delivery, and data analytics experience.
Hybrid Data Engineer – PySpark on AWS
Develop scalable AWS data solutions and design PySpark ETL pipelines using EMR, Lambda, and EC2 to power reporting, analytics, and strategic decision-making in Manchester.
Data Engineer: PySpark on AWS for Scalable Analytics
Data Engineer building scalable PySpark ETL pipelines on AWS (EMR, Lambda, EC2) in a hybrid cloud/legacy environment to support reporting and analytics for DWP Digital's MI team.
Data Engineer - Azure Medallion & Power BI
Builds robust ETL pipelines, transforms data, and designs analytics-friendly data models using SQL, Python, Power BI, and Azure technologies for an 8-month fixed-term contract in London.
Real-Time Treasury Data Engineer
Data Engineer at QRT building real-time Treasury data pipelines, datasets, and APIs to power financing insights for traders and desk leadership in London.
Senior Data Engineer (Databricks)
Senior Data Engineer with Databricks expertise to design, build and maintain data pipelines for marketing analytics, working with marketing stakeholders to develop data models supporting dashboards and attribution modeling.
Staff Data Engineer
Owns the technical strategy for Beamery’s data platform, defining architecture and standards, using technologies like BigQuery, dbt, Kafka, and Python.
Fullstack Engineer (Frontend focus)
Build and evolve CoreWeave’s AI platform’s frontend, focusing on React/TypeScript UIs for complex, data-heavy workflows while occasionally contributing to Python backend services.
Data Engineer: Databricks & Fabric Lakehouse Pipelines
Data Engineer building and optimizing ETL/ELT data pipelines using Microsoft Fabric and Databricks Lakehouse to deliver clean, production-ready data for enterprise analytics and Power BI reporting.
Full Stack Engineer
Full-stack engineer owning feature lifecycles for an EdTech/Health SaaS product using React, TypeScript, Node.js, AWS, and MongoDB.
Lead Data Engineer
Lead Data Engineer designing and maintaining cloud-based data platforms and pipelines (SQL, Python, Databricks, Snowflake) that support underwriting, pricing, and risk analytics for a motor insurer, while mentoring a data engineering team.
Data Engineer - Telford
Data Engineer on a 6-month hybrid contract in Telford, building and maintaining ETL/data integration pipelines using SQL, tools like Pentaho/Talend/Denodo, and SAS for a major HMRC public sector data platform.
Senior Data Engineer
Senior Data Engineer builds and optimizes scalable GCP-based data pipelines and models to power real-time AI/ML workloads for a global sports media and betting platform.
Treasury Data Engineer
Data Engineer building and maintaining data pipelines, APIs, and analytical tools that power real-time treasury analytics (margin, collateral, cash) for a quantitative investment manager. Core tech: SQL, Python, Airflow, cloud platforms.
Generative AI Architect
The Generative AI Architect will design and implement large language model capabilities, including RAG, fine-tuning, and agentic frameworks, within a cloud-based analytics environment.
Data Engineer
Build and optimise data pipelines using Microsoft Fabric and Databricks Lakehouse, creating ETL workflows with PySpark and SQL for enterprise analytics.