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Freelance Data Engineer - European Union - Darwin Partners

1 day ago
Description
We are looking for a Data Engineer to join the data platform team of a trading company based in London.
You will work in the same team as a Lead Data Engineer already in place and focus mainly on enhancements of the data platform.
The environment is strongly cloud-oriented (AWS), with Python and PySpark at the core of all data pipelines and processing. You will help keep mission-critical trading and risk data reliable, performant, and available to users across the business.
Key Responsibilities
• Monitor and operate existing data pipelines and jobs (Python / PySpark / AWS).
• Perform bug fixes, small evolutions, and refactoring on existing codebases.
• Work closely with the Lead Data Engineer and business stakeholders to understand issues and prioritize fixes.
• Maintain documentation for pipelines, workflows, and operational procedures.
• Contribute to the development of new data ingestion and transformation pipelines in Python / PySpark on AWS.
• Implement new features and small data products on top of the existing data platform.
• Participate in code reviews and help improve engineering best practices (testing, CI/CD, observability).
Required Skills & Experience
• Several years of experience as a Data Engineer (or similar role).
• Strong hands-on skills in Python for data processing (ETL/ELT, APIs, automation).
• Solid experience with PySpark in a production context (batch and/or streaming).
• Professional experience on AWS (data-oriented services such as S3, Glue, EMR, Lambda, ECS, Redshift, etc.).
• Good knowledge of SQL and relational databases.
• Experience operating data pipelines in production: monitoring, alerting, troubleshooting, optimisation.
• Comfortable working in remote, international teams, communicating in English (written and spoken).
Nice to Have
• Experience in trading, financial markets, or commodities environments.
• Knowledge of data orchestration tools (e.g. Airflow, Step Functions) and CI/CD practices.
• Familiarity with microservices / APIs (FastAPI or similar) and containerization (Docker).
• Exposure to data governance, security, and role-based access control in cloud environments.
Soft Skills
• Strong sense of ownership and reliability on production systems.
• Pragmatic and solution-oriented, able to work on both small fixes and incremental improvements.
• Good communication skills with both technical and non-technical stakeholders.
• Team player, comfortable pairing with a more senior engineer and following existing architecture and standards.
Practical Information
• Location: 100% Remote (European time zones).
• Environment: Data platform for trading & risk use cases.
• Start date: ASAP.
• Contract type: Long-term mission / consulting.
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