Data Engineer (m/f/d)

Your job: opening the gates to the world

With 140 years of retail expertise and more than 10,000 dedicated employees around the world, we offer travelers extraordinary shopping experiences. Our extensive product range fulfills the wishes of global travelers everywhere – whether in airport duty‑free shops, above the clouds or on a cruise. And yet, we realise that our continued success also depends on our people, who give their best each day in our shared effort to keep our customers inspired. Join our team and discover what we can achieve together.

We are looking for you to join our headquarters in Hamburg's HafenCity in full-time (38.5 h/week)!

Your new job includes

As a Data Engineer, you design and own stable and scalable data solutions, transform manual processes into automated data pipelines, and deliver high‑quality data products. You ensure data quality, performance, and availability, translate business requirements into technical designs, and work closely with IT, BI, and adjacent teams. At the same time, you actively drive the evolution of the engineering landscape through the use of new technologies.

In particular, you will

• process large volumes of data across complex data pipelines and ensure the provisioning of heterogeneous satellite systems (e.g. via import and export processes across different engines and platforms)

• capture, evaluate, and translate business requirements into technical solutions for new developments and enhancements in collaboration with modelling, analytics, IT, and business teams

• continuously develop and professionalize methods and systems for strategic and operational data provisioning across cross‑system tools and products

• conduct root cause analyses, establish monitoring, and continuously optimise existing processes and systems

• contribute your expertise to integrative projects, prepare complex topics for different target audiences, and advise cross‑functional teams on process‑related topics

• ensure data quality, performance, availability, reliability, and cost‑efficiency in productive operations

What you should bring along

• A completed degree in (business) informatics, data science, mathematics, or a comparable field, or an equivalent qualification

• Several years of professional experience working with large data volumes, as well as processing data across complex pipelines and systems

• Strong proficiency in Python for developing, automating, and optimising data processes, particularly in building and operating data pipelines; good SQL skills are an advantage

• Relevant experience with modern data platforms such as Databricks, Snowflake, or BigQuery, as well as in the continuous optimisation of data processes and systems

• Ability to present complex topics in an understandable way and communicate them effectively for different target groups

• High quality standards with regard to data quality, performance, availability, and stability

• Very good German skills and good English skills, both written and spoken

What you can be excited about

• Attractive employee discounts

• Subsidised public transport

• Extensive training and development opportunities

• Employer‑funded pension

If you do not tick all boxes, but still believe you are a match to this role, we are happy to get in touch.

Are you interested? Good! Apply via the "Apply now" button stating your salary expectations and your earliest possible starting date. If you have any questions, please do not hesitate to contact Jacqueline Husen at career@gebr-heinemann.de. We welcome all people, regardless of age, ethnicity, nationality, gender identity, religion, ideology, sexual orientation, social background or disability.