Senior Data Engineer (On-site, Aarhus or Gdansk)

Job summary

The role involves developing and maintaining data-driven solutions to enhance insights and decision-making within the Commercial IT Product team, focusing on Innovation and Consumer Intelligence. The position requires collaboration with business stakeholders to translate requirements into scalable technical solutions.

Qualifications

• Degree in information systems, computer science, engineering, or a related field.
• 3-5 years of experience as a Data Warehouse Developer, BI Developer, SQL Developer, or Data Engineer.
• Ability to translate business needs into practical technical solutions.

Responsibilities

• Collaborate with business stakeholders to gather requirements and develop technical solutions.
• Maintain data pipelines, data models, and digital solutions to support business needs.
• Build scalable ETL/ELT processes and ensure high-quality data engineering practices.
• Support continuous improvement of existing solutions and development processes.
• Work with developers, architects, and IT specialists to deliver reliable solutions.
• Contribute to the development of modern cloud-based data platforms and applications.

Skills

• Proficient in SQL and PySpark.
• Experience with Spark in Databricks.
• Knowledge of ETL/ELT tools (e.g., Azure Data Factory, Logic Apps).
• Familiarity with data engineering best practices and scalable solution design in a lakehouse environment.
• Proficient in vector databases, embeddings, LLMs, data agents, and generative AI.

Education

• Degree in information systems, computer science, engineering, or similar.

Tools

• Azure Databricks, Power BI, Microsoft Foundry, Terraform, Azure DevOps, GitHub.