Senior Analytics Engineer (AWS)

Xebia is a global tech company with over 1,000 experts delivering cloud, data, and software solutions. Originating from two Polish companies, PGS Software and GetInData, Xebia works with clients across various industries including fintech, e-commerce, aviation, logistics, media, and fashion. Their clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, and others. Xebia is a trusted partner of Databricks, dbt, Snowflake, Azure, GCP, and AWS, being the first AWS Premier Partner in Poland.

• Advanced SQL and strong data modeling skills (dimensional, canonical, medallion-style layering).
• Experience with dbt (dbt-core), including tests, macros, sources, and documentation.
• Experience with Apache Iceberg and Athena in an AWS lakehouse environment.
• Familiarity with analytics engineering practices: version control, code review, and modular design.
• Previous exposure to dbt adapters for AWS (dbt-athena, dbt-glue), dbt-expectations, and dbt-elementary.
• Experience with Airflow orchestration, ideally Astronomer Cosmos.
• Understanding of partitioning and pre-aggregation techniques for SLA-driven performance.
• Python skills for supporting transformations and tooling.

Nice to have:

• Exposure to graph data (Neptune) and CDC-driven data.
• Experience with Snowflake and Sigma.

• Building and maintaining the canonical business model on Iceberg, managing entities and relationships for performance reporting.
• Developing curated data marts.
• Modeling assembly and sub-assembly hierarchy from the Neptune graph for BOM and project reporting.
• Structuring dbt projects across staging, intermediate, and marts layers using ref(), macros, and packages.
• Implementing data quality framework including schema and freshness tests, dbt-expectations assertions, and dbt-elementary observability.
• Handling schema evolution with versioning tables, data contracts, and managing structural changes.
• Contributing dbt models to the CI/CD pipeline (slim builds, linting, PR reviews).
• Supporting scheduled orchestration through Airflow and Cosmos.
• Collaborating with Data Analysts on mart design and Data Engineers on upstream data structures.
• Supporting client knowledge transfer.

Work from the European Union region and a work permit are required.