👉 Senior Data Platform Engineer (AWS)

🟣 You will be:

Designing and provisioning the lakehouse foundation on AWS: S3 lake zones (raw, canonical, curated), Apache Iceberg tables, Glue Data Catalog, Athena, and Lake Formation, delivering all infrastructure as code with Terraform, reproducible from the client's GitHub repositories and CI/CD, across isolated environments (ci, dev, staging, prod),building and enforcing the tenant-isolation security gate: Lake Formation row-level security and physical partitioning by CompanyId, separate IAM roles for customer versus internal access, and fail-closed handling that quarantines and alerts on rows with missing or unresolved CompanyId, implementing the upstream entitlement mapping (principal to allowed CompanyIds) that drives access control, seting up ingestion infrastructure: CDC paths from DynamoDB Streams, AWS DMS extracts from Aurora PostgreSQL, and bulk export to Parquet, supporting the near-real-time (5 min) and batch (4 hr) SLAs, standing up workflow orchestration with Apache Airflow and Astronomer Cosmos, including profile-based connections, model-level retries, and lineage emission, building CI/CD pipelines (GitHub Actions): dbt compile and slim builds, SQL

• Fluff linting, DAG validation, branch protection, environment promotion, and Git-revert rollback, configuring end-to-end governance and observability: catalog and data contracts, Open
• Lineage capture, and org-wide audit through CloudTrail, owning cost governance and monitoring: resource tagging, usage alerting, and right-sizing of compute, collaborating with the Data Platform Architect, Data Engineers, and Analytics Engineer, and support knowledge transfer to the client team.🟣 Your profile:strong experience with AWS data and platform services: S3, Glue (Data Catalog and Jobs), Athena, Lake Formation, IAM, VPC networking, DMS, DynamoDB, Aurora PostgreSQL, experience with infrastructure as Code with Terraform, including modular design and YAML-driven configuration, knowledge about Apache Iceberg and open table formats on S3,experience with security and access control, knowledge about CI/CD engineering with GitHub Actions, trunk-based development, and environment promotion, solid Python and SQL skills, experience with dbt on AWS (dbt-athena, dbt-glue adapters) and analytics-engineering workflows, previous exposure to Airflow orchestration, ideally with Astronomer Cosmos, data lineage and observability (Open
• Lineage, dbt-elementary) and data quality tooling (dbt tests, dbt-expectations) skills, experience with CDC and streaming ingestion patterns.

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:exposure to BI serving layers such as QuickSight or Sigma, snowflake experience.🟣 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.