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Front-Office Data Engineer for Global Hedge Fund
Builds and maintains scalable data pipelines for trading and analytics in a hedge fund’s front-office tech stack, collaborating with traders and researchers to ensure data quality and system reliability.
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 Engineer - Private Equity Data Start-Up - up to £120,000
Build and scale data pipelines and analytics infrastructure for a Private Equity-focused platform, using modern architectures and ClickHouse to deliver institutional-grade insights.
Senior Azure Data Engineer – Managed Services Leader
Senior Azure Data Engineer builds and maintains scalable data pipelines using Fabric, Data Factory, SSIS, and SQL Server, mentoring junior engineers and ensuring platform reliability.
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.
Hybrid Bristol: Biological Structures Data Engineer
Build and maintain data pipelines to process protein–ligand structures and affinity data for training AI models that predict molecular interactions.
IAM Data Engineer — Azure, ETL & Security
Build and maintain secure cloud data pipelines for a London bank using SQL, PowerShell, and ETL tools while collaborating with Agile teams.
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.
Principal Data Engineer - Greenfield Microsoft Fabric
Design and build greenfield data pipelines with Microsoft Fabric and analytics models for Power BI to establish a modern data foundation.
Cloud Data Engineer: Azure/AWS Data Platform & Migrations
Designs and migrates cloud data platforms on Azure/AWS, builds SQL Server data models, and maintains data pipelines for a financial institution.
On-Site AI Full-Stack Engineer — London (Visa Sponsorship)
Build and deploy end-to-end AI systems and scalable infrastructure using TypeScript, React, and Next.js in a high-impact London-based startup.
AI Platform Full-Stack Engineer (Scale ML Systems)
Build and scale AI-driven full-stack systems using React/TypeScript for frontend and Python (FastAPI/Flask/Django-like) for backend, integrating ML services and APIs in a hybrid London setup.
Senior Data Engineer - Python, Databricks & AWS
Build and maintain data pipelines for regulatory reporting using Python, PySpark, and AWS services in a large financial firm.
Senior Data Platform Engineer - Cloud Pipelines Lead
Design and build scalable cloud data pipelines and platforms for enterprise clients, leading technical projects and collaborating with stakeholders.
Senior Azure Data Engineer — Shape UK Data Strategy
Senior Azure Data Engineer builds and optimizes a central Azure data warehouse and pipelines to power UK healthcare BI reporting and analytics while ensuring GDPR compliance and data security.
Senior Data Engineer: Azure Fabric & Data Platform Expert
Designs and builds scalable data pipelines using PySpark and SQL on Microsoft Azure Fabric, Databricks, and Synapse to enable data-driven insights.
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.
Senior Microsoft Fabric Data Engineer — Analytics & Data Platform
Design and implement Microsoft Fabric-based data platforms and analytics solutions for public and private sector clients using Power BI, OneLake, and Synapse.
Data Platform Engineer - ETL/AI Pipelines
Designs and optimizes ETL/ELT pipelines, ingests data from multiple sources, and applies schema versions to build scalable data solutions for AI/ML workloads.
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.