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Hybrid Data Engineer: Azure, Databricks & MS Stack
Designs and builds data pipelines on Azure and Databricks to deliver business insights for clients, using SQL and data modelling.
Forward Deployed Data Engineer (12 month FTC)
Build and deploy data pipelines and AI-driven solutions on Azure and Databricks to solve real business problems across Manchester United’s teams.
Software / Data Engineer - Build powerful analytics platforms
Build and maintain data pipelines and analytics platforms for a hedge fund, using Python, SQL, and database systems to support risk management and business-critical applications.
National Security Data Engineer — Hybrid, DV Cleared
Design and build secure, cloud-native data platforms for national security programs, using AWS/Azure, Spark, Databricks, Kafka, and ETL/ELT pipelines to support AI and ML workloads.
Senior .NET Engineer: Data AI Backend & Pipelines
Build scalable .NET backend services and data pipelines that transform transaction data into AI-driven insights for a high-growth UK tech firm.
Data & Software Engineer - Build ETL Pipelines & Databases
Build and maintain ETL pipelines, databases, and data models to support risk management and business solutions for a hedge fund.
Principal Data Engineer: Enterprise Platform Lead (Hybrid)
Lead the design and delivery of a company-wide data platform, setting engineering standards and modernizing cloud infrastructure to support scalable data solutions.
Hybrid Data Platform Engineer — Azure ETL Pipelines
Designs and maintains Azure-based data pipelines, integrating sources and ensuring quality and security to support analytics and insights for government audits.
Data Engineer — Hybrid London, GCP & BigQuery
Designs and maintains scalable data pipelines and automates workflows using GCP and BigQuery to support analytics and data modeling for a digital media group.
Mid-Level Data Engineer (Python/ AWS)
Build and maintain cloud-based data pipelines and APIs in Python and AWS, enabling reliable data access and integration for teams.
Data Engineer (financial data) - Up to £130,000 + Bonus
Build and optimize cloud-based SQL databases and data pipelines in Azure, then collaborate with data scientists to develop Python-based ML models for analytics across fintech and healthcare.
Data Engineer - Azure, DataBricks, PySpark
Build and maintain cloud data pipelines on Azure and Databricks using Python, PySpark and SQL to power analytics and decision-making for a London insurer.
Scientific Data Engineer - Product Safety
Build and maintain scalable data pipelines and Databricks solutions to transform scientific datasets for regulatory compliance and product safety in agriculture.
System Design Stability Data Engineer
Design and maintain data models for configuration control in a major UK energy-sector infrastructure project, build Power BI dashboards from Databricks, and enable data-driven decisions using SQL and Python.
System Design Stability Data Engineer
Designs and maintains data models and Power BI dashboards for a UK energy-sector infrastructure project, using Databricks, SQL, and Python.
Data Engineer (Azure | Databricks | MS Stack)
Designs and builds scalable data pipelines on Azure and Databricks, using the Microsoft stack to deliver analytics solutions for clients.
Snowflake / Python Data Engineer (Contract) – London
Build and own a Snowflake-based Data Lakehouse: design Snowflake architecture, write Python/SQL pipelines, and set up CI/CD for reliable, scalable data ingestion and analytics.
Azure Data Engineer — Scalable, Collaborative Data
Designs and builds scalable data pipelines on Azure for ASOS, enabling analytics and insights across teams while optimizing performance and CI/CD workflows.
Senior Data Engineer - Full Stack
Senior Data Engineer builds scalable cloud data pipelines and AI-ready datasets for esports and gaming ecosystems using Python, SQL, BigQuery, and dbt.
Data Engineer- Public Sector & Defence
Design and maintain scalable data pipelines for public-sector and defence clients, ensuring data accuracy and performance for analytics and decision-making using tools like Snowflake, SQL, Python, and cloud platforms.