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SC-Cleared Cloud Data Engineer for ETL & DataOps
Design and optimize cloud-based ETL/ELT pipelines, integrate data sources, and build analytics-ready data models for a large-scale government programme.
Senior Data Engineer (Microsoft Fabric & Azure Data Platform)
Build and optimize cloud-native data pipelines using Microsoft Fabric, Azure Databricks, and PySpark to deliver scalable data solutions for enterprise clients.
Data Engineer - 12 month fixed term contract
Build and maintain scalable ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory, and Python to transform enterprise data into clean, analytics-ready datasets.
Data Engineer - Python - Quant Finance
Builds and maintains mission-critical ETL/ELT pipelines for trading/research data in Python, collaborating with traders to align datasets with macro/commodity strategies.
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.
Senior BI Developer — Data Warehousing & Automation Lead
Designs and enhances data warehousing solutions using SQL and ETL to improve reporting accuracy and scalability for a legal-sector product company.
Hybrid BI Data Engineer — Azure & Analytics
Designs and maintains data pipelines, optimizes ETL processes, and collaborates with stakeholders to enable BI and analytics using SQL, Python, and Azure data services (ADF/Synapse/Fabric).
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.
Frontier AI Data Engineer & Model Evaluator
Build and evaluate data infrastructure for AI coding agents, focusing on ETL pipelines and realistic data engineering workflows.
Data Engineer - Commodities Quant Trading Infrastructure
Builds and maintains data infrastructure for a European Gas trading desk using Python, AWS, ETL, and Airflow to support systematic trading and market data pipelines.
Senior Data Platform Engineer - Pipelines & Architecture
Designs and maintains scalable data pipelines and architecture to support analytics for ecological restoration initiatives.
Data Engineer - Quant Hedge Fund
Build and maintain data pipelines and systems that feed quantitative trading models at a top hedge fund, working closely with researchers and traders.
Data Engineer: Salesforce Integrations & APIs
Designs and maintains Salesforce data integrations and ETL/ELT pipelines to keep systems synchronized and data accurate.
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.
Data Engineer (Microsoft Fabric / Azure)
Builds and maintains scalable data pipelines and analytics solutions using Microsoft Fabric, Azure Synapse, and Power BI to deliver business insights.
Data Engineer - Commodities - Quant Trading
Build research infrastructure and data platforms for a European Gas trading desk using Python, AWS, ETL, and Airflow.
Data Platform Engineer II - ETL Pipelines - Remote
Build and maintain scalable ETL/ELT pipelines and data models in Snowflake, BigQuery, and Hive using Java and Python to power Tripadvisor’s travel platform.
Data Engineer – Identity & Security (IAM)
Build and maintain data pipelines and SQL models for identity and access management in a banking environment, automating ETL workflows in Azure.