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Lead Data Engineer | Cloud Data Platform & Team Mentor
Lead a data engineering team to design and build scalable cloud data pipelines and platforms, mentoring engineers while delivering secure, business-aligned solutions.
Senior Data Engineer, Platforms & Tooling (Cloud MI)
Senior Data Engineer builds and maintains cloud-based MI platforms using Azure and Power BI, automating workflows and resolving data incidents for a UK government body.
Data Engineer, Industrials L/S Equities - London
Build and own the data pipeline for a hedge-fund’s Industrials portfolio, cleaning and transforming market data, automating ETL/ELT, and enabling analysts with Python, SQL, and AWS.
Senior Data Engineer – Real-Time Trading Data & APIs
Build and maintain scalable data pipelines and APIs to support real-time trading systems, ensuring high availability and data quality for traders and researchers.
Data Platform Engineer for Grid AI & Pipelines
Build and maintain the data infrastructure for a grid-focused AI platform, handling ingestion, transformation, validation, and serving of large datasets for grid operators.
DevOps & IoT Platform Engineer
Build and maintain cloud and IoT platforms that connect industrial devices to Azure, automate deployments, and lay groundwork for MLOps and ML model lifecycle management.
Staff Data Engineer London Contract Inside IR35
Staff Data Engineer modernizes enterprise-scale data pipelines using PySpark, AWS Glue, and Airflow, while setting engineering standards and coaching teams on cloud-native architectures.
Senior Python Data Engineer – SC Clearance Preferred
Build secure, scalable Python data pipelines and APIs for a UK government program, integrating digital services with the Electronic Monitoring Data Store.
Data Engineer (Research Fellow/Senior Research Fellow)
Build and manage linked healthcare datasets to support mental health service research, extracting and linking NHS data while collaborating with clinicians and researchers.
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
Designs and builds data models and PowerBI dashboards in Databricks (SQL/Python) to track nuclear plant design stability and compliance for Hinkley Point C.
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.
Lead Data Engineer — Public Sector Data & Digital
Lead a team to design and implement data integration pipelines using SQL, Python, and Azure Data Factory for a government digital transformation initiative.
Azure Data Engineer Consultant - Lead & Mentor
Design and deliver enterprise-grade analytics solutions using Azure and Databricks, mentor junior team members, and work with high-profile clients.
Remote Databricks Data Engineer | Spark, PySpark & ETL
Designs and builds scalable data pipelines using Databricks, PySpark, Python, and SQL to deliver enterprise-grade data solutions in a remote team.
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.