👉 Senior Analytics Engineer (AWS)

🟣 You will be:

• building and maintaining the canonical business model on Iceberg: governed entities and the relationships needed for project performance reporting, stable across changes in the underlying source storage,

• developing curated data marts,

• modeling the assembly and sub-assembly hierarchy from the Neptune graph, required for BOM and project reporting,

• structuring dbt projects across staging, intermediate, and marts layers using ref(), macros, and packages to eliminate duplication,

• implementing the data quality framework: schema and freshness tests, dbt-expectations assertions, and dbt-elementary observability feeding a single quality gate,

• handling schema evolution to prevent reporting disruptions: versioning tables, applying data contracts, and managing structural changes on a case-by-case basis,

• contributing dbt models to the CI/CD pipeline (slim builds, linting, PR reviews) and supporting scheduled orchestration through Airflow and Cosmo,

• collaborating with Data Analysts on mart design and with Data Engineers on upstream data structures; supporting client knowledge transfer.

🟣 Your profile:

• 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.
  

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

Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies/

🟣 Nice to have:

• previous exposure to graph data (Neptune) and CDC-driven data,

• Snowflake and Sigma experience, given Xebia's partnership and likely future work.

🟣 Recruitment Process:

CV review – HR call – Interview (with Live-coding) – Client Interview (with Live-coding) – Hiring Manager Interview – Decision

🎁 Benefits 🎁

✍ Development:

• development budgets of up to 6,800 PLN,

• we fund certifications e.g.: AWS, Azure,

• access to Udemy, O'Reilly (formerly Safari Books Online) and more,

• events and technology conferences,

• technology Guilds,

• internal training,

• Xebia Upskill.

🩺 We take care of your health:

• private medical healthcare,

• multiSport card - we subsidise a MultiSport card,

• mental Health Support.

🤸‍♂️ We are flexible:

• B2B or employment contract,

• contract for an indefinite period.