(Senior) Data/Analytics Engineer (m/w/d)

What you bring to the table

• You bring several years of experience in analytics and data engineering and have a strong understanding of modern data platform architectures
• You have extensive expertise in designing scalable data models, developing high-performance transformations, and applying semantic modeling principles
• You are highly proficient in SQL and have hands-on experience working with cloud-based data warehouse technologies such as Google BigQuery
• You are familiar with modern orchestration frameworks, data quality concepts, and automated validation processes to ensure reliable and trustworthy data products
• You work confidently with Git-based development workflows, CI/CD pipelines, and collaborative software engineering practices to deliver high-quality data solutions
• Nice to have: You have hands-on experience with dbt for developing and managing version-controlled data transformations and bring valuable domain knowledge from eCommerce, retail tech, or ad tech, including web analytics, conversion funnels, and performance metrics

What matters to our partner company

Our partner company has an international focus and is characterized by continuous development. Employees benefit from a steep learning curve and plenty of opportunities for personal and professional growth, actively shaping the company’s future along the way.

Each individual has the chance to contribute in different areas of responsibility according to their interests – and successes are celebrated together as a team.

What you can look forward to

• Exciting projects and plenty of room for professional growth
• State-of-the-art technology and knowledge exchange with experienced sparring partners
• Professional training programs, language courses, and free access to tech conferences/meetups
• HVV ProfiTicket & JobRad, Company pension plan
• Unforgettable company parties and after-work events

What happens next

• Get in touch, and we’ll find out together if this position is right for you
• end us an email, or reach out via Xing, LinkedIn, or any other channel – we look forward to connecting with you!

We show an excerpt and a link, and the full text when the source allows it. Brands and logos shown belong to their owners.

Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation