Инженер данных

Moonfare delivers private market funds and alternative investments for institutional-quality portfolios, operating from eight offices across Europe, the US, and Asia.

• Build and maintain data pipelines from ingestion through to storage;
• Take end-to-end ownership of pipeline components;
• Model data using data lake and warehouse concepts, and contribute to performance improvements (partitioning, file formats, tuning);
• Apply data governance and security practices in your work (least-privilege IAM, encryption, PII handling);
• Support the team with data quality, coding consistency and data availability;
• Collaborate with analysts and stakeholders to translate requirements into working data solutions;
• Identify, formulate, and propose improvements to your own and your team’s practices.

• 2–4 Years of hands-on experience building and maintaining data pipelines in production;
• Strong Python and advanced SQL;
• Basic Scala experience, or a willingness to pick it up;
• Familiarity with DBT (models, tests, documentation);
• Solid working knowledge of AWS or another major cloud provider;
• Experience with relational databases and data warehouses;
• Confident in Git, CI/CD, and modern deployment practices;
• Practical experience with Docker;
• Solution-oriented, strong attention to detail, and open to feedback and mentorship;
• Nice to have: Experience with Apache Spark or a similar distributed processing framework, Working knowledge of K8, Bash scripting, Flyway or similar SQL migration tools.

• No conditions specified