Data Platform Engineer

Technologies we use

Your responsibilities

• Build and develop a cloud-based data lakehouse platform.
• Design and maintain ETL/ELT pipelines (batch & real‑time).
• Create Medallion architecture (Bronze/Silver/Gold) and data models for analytics and AI.
• Integrate data from multiple sources and prepare it for dashboards and AI applications.
• Implement data transformations using SQL, Python/Scala, dbt, Databricks.
• Manage pipeline orchestration tools (Airflow, Prefect, Dagster).
• Work with graph databases and graph data models.
• Monitor data quality and pipeline performance.
• Collaborate with Data Science, DevOps and business teams.
• Automate infrastructure with IaC (Terraform).

Our requirements

• 10+ years of experience in Data Engineering; experience with production data platforms.
• 2+ years designing lakehouse architecture.
• Strong SQL and data modeling skills.
• Cloud experience, especially AWS.
• Python or Scala + experience with dbt / Databricks / similar tools.
• Experience with orchestration (Airflow/Prefect/Dagster) and stream processing (Kafka/Flink/Spark).
• Knowledge of graph databases (Neo4j/Neptune, etc.).
• IaC (Terraform/CloudFormation).
• Strong problem‑solving skills in data quality and performance.
• Good communication and teamwork abilities.

This is how we organize our work

This is how we work

This is how we work on a project

What we offer

• A full-time contract with possibility to choose the form of employment (UoP/B2B)
• Stable and long-term cooperation
• A clearly defined career path and the possibility of development in four areas as: Project Manager, Business Manager, Technical Leader and a specialist in their field
• Participation in company conferences, trainings, workshops, integration meetings, etc.
• Certification and training opportunities
• Opportunity to relocate and work in different ALTEN Polska branches

Benefits

• NOTICE: We kindly inform you that we will contact the selected candidates.