Data Engineer (M/F/D)

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.

Qualification:

• 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.

Requirements:

Start: 18.10.2026

Duration: 7 months

Capacity: 5 days per week

Location: remote