Apprenticeship – Junior Data Engineer / Data Tools Developer (Quant Research)

Apprenticeship – Junior Data Engineer / Data Tools Developer (Quant Research)

About the role

Join our Quantitative Research team as a Junior Data Engineer apprentice (1+ year).

This role is focused on building and improving data tools, pipelines, and workflows used by researchers.

It is not a quantitative research position — we are looking for someone with a strong development mindset who enjoys working on data systems.

You will contribute to making data clean, reliable, and easily usable for quantitative analysis.

Key responsibilities

• Design, build, and maintain data pipelines (ETL/ELT) for financial and market data
• Structure, store and optimize time-series datasets for research usage
• Develop Python and SQL tools for data ingestion, cleaning, and transformation
• Implement automated data quality checks and monitoring processes
• Contribute to internal data services, APIs, and tooling
• Improve pipeline reliability, performance, and versioning practices
• Work closely with researchers to support their data needs

Required skills

• Good Python skills (Pandas, Numpy)
• Understanding of data pipelines and databases and relational databases
• Ability to write high clean, maintainable and testable code
• Interest in working with structured data

Nice to have

• Experience with SQL (PostgreSQL or equivalent)
• Familiarity with workflow orchestration tools (Airflow, Prefect)
• Exposure to distributed storage (Hadoop, Hive, Spark)
• Knowledge of version control and DevOps practices (Git, CI/CD)
• Interest in financial data

Profile

• Student in engineering school or Master’s (M1/M2) in Computer Science, Data, or related field
• Strong builder mindset: you like creating tools and making systems work
• Curious, autonomous, and detail-oriented
• Interested in a technical role within a quantitative environment (not a researcher role)