Data Engineer

Data Engineer (M/F/D)
Tasks

• Design and implement data pipeline architectures and integration solutions as part of defined data platform initiatives.

• Provide technical expertise for the design, development, and optimization of ETL/ELT processes supporting data ingestion, transformation, and consumption requirements.

• Design and deliver cloud-based data warehouse solutions aligned with specific project objectives and business needs.

• Develop conceptual, logical, and physical data models following industry best practices, including Star Schema and Data Vault methodologies.

• Design and implement workflow orchestration and automation solutions using Apache Airflow and dbt to enhance data platform capabilities.

• Deliver scalable and efficient data engineering solutions leveraging Python and SQL in accordance with agreed project requirements.

• Provide architectural and technical expertise for the implementation and enhancement of Azure-based cloud data platform components.

• Engage with business and technical stakeholders to gather requirements, validate deliverables, and provide recommendations for data solutions.

• Advise on the adoption and effective use of AI-powered engineering tools and data engineering best practices within the scope of the project.

• Minimum 5 years of professional experience as a Data Engineer or in a comparable role.

• Strong hands‑on experience with Python and SQL.

• Proven experience with Apache Airflow and dbt.

• Strong background in designing and implementing ETL/ELT pipelines.

• Experience with modern data warehousing platforms such as Snowflake and/or Databricks.

• Strong understanding of data modeling techniques, including Star Schema and Data Vault.

• Experience working with Microsoft Azure services and cloud‑based data architectures.

• Familiarity with AI‑assisted development tools and concepts such as Claude Code, Codex, MCP, or similar technologies.

• Strong analytical and problem‑solving skills.

• Excellent communication skills and ability to work in cross‑functional teams.

• Fluent English, both written and spoken.

• Nice‑to‑Have

  • Experience with dltHub.

  • Experience working in Agile environments.

  • Knowledge of Data Governance and Data Quality frameworks.

  • Experience building enterprise‑scale cloud data platforms.

Start
: 18.10.2026

Duration
: 7 months

Capacity
: 5 days per week

Location
: remote