Build and maintain a reliable data foundation that supports analytics and business decision-making across the organization.
Design and maintain robust data pipelines that collect, transform, and integrate data from various sources.
Develop scalable, well-structured data models to enable fast analysis and efficient reporting.
Improve and automate data integration and transformation workflows using tools such as KNIME.
Identify opportunities to improve data architecture, workflows, and processing performance for scalability and reliability.
Ensure high data quality and monitor data pipelines for inconsistencies.
Collaborate closely with analysts, business stakeholders, and technical teams to translate business needs into scalable data solutions.
Contribute to knowledge sharing, best practices, and the ongoing development of the data engineering setup within the organization.
Document data models, pipelines, and automation processes for transparency and maintainability.
Requirements
A degree in computer science, business informatics, or a related field.
4+ years of professional experience as a Data Engineer or in a comparable data-focused role.
Strong experience working with MSSQL databases and advanced SQL skills.
Hands-on experience with KNIME for building and maintaining data workflows and Data Apps is essential, ideally in a production or business environment.
Experience with Microsoft Power Apps is an advantage.
Experience designing and maintaining ETL/ELT pipelines and data integration processes.
Solid programming skills for data processing and automation (e.g., Python, JavaScript, or similar languages).
Strong understanding of data modeling, data pipeline architecture, and scalable data processing.
Experience in automation and optimization of data workflows.
Ability to translate complex business requirements into robust technical solutions.
Strong collaboration and communication skills to work with both technical and non-technical stakeholders.
Fluent German and good English skills.
Experience in the media or advertising industry is a plus.
Tech Stack
ETL
Java
Python
SQL
Benefits
Stay healthy: For €10 per month you get a full Fitness First membership.
Have fun: Our motivation team organizes memorable events every year.
Grow professionally: We will create an individual development plan with you, provide regular feedback, and offer targeted training. You also have access to our Havas University with over 200 courses and workshops.
Help shape our company: We welcome your ideas and encourage you to actively address topics and help improve processes.