Data Engineer $$$

We are looking for an experienced Data Engineer to design and implement scalable data pipelines, own core storage layers, and help build the foundations of a modern DataOps lifecycle.
 

Job requirements

• 3+ years of professional experience in Data Engineering / DWH development.
• Strong SQL expertise and solid Python skills (pandas, pyarrow).
• Production experience with Apache Airflow (production DAGs, scheduling, operators).
• Hands‑on work with PostgreSQL (schema design, migrations, partitioning) and ClickHouse (MergeTree engines, materialized views, performance tuning). 
• Experience with Data warehouse design — layered architecture, data modelling, denormalisation.
• Experience integrating REST APIs and third-party data sources
• Experience with Docker / Docker Compose — containerised services and multi-service environments
• Fluency in English.

Nice to Have:

• Experience with Apache Superset (RLS, dashboard layer).
• Familiarity with AI/LLM tooling for data (NL-to-SQL, vector databases). 
• Experience in the Fintech field: FX, brokerage, CRM/BO systems.
• Experience with multi-tenant data architectures.

Job responsibilities

• Design, build, and maintain ETL/ELT pipelines rom multiple product datasources.
• Model and optimise data structures in ClickHouse (views, engines, schema evolution).
• Orchestrate workflows using Apache AirflowCollaborate with BI teams (Superset) and backend teams (FastAPI/Python) to build reliable data products.
• Contribute to architectural decisions.
• Collaborate closely with product managers, BI developers, and DevOps to deliver data products end‑to‑end.

Job benefits

● Competitive and Attractive Pay.
● Flexible hours for a better work-life balance.
● Work your way: Hybrid flexibility to fit your life.
● 21 vacation + 7 no-questions-asked sick days per year.
● Career growth: Continuous Development & Performance Reviews.