technologies-expected :

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).

requirements-expected :

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.

offered :

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 :