Data Operations Manager (m/f/d)

Heinemann Asia Pacific Pte Ltd; Hamburg; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Employee discounts

Subsidised public transport

Training and development opportunities

Employer-funded pension

Zusammenfassung

Heinemann Asia Pacific Pte Ltd in Hamburg's HafenCity is seeking a Data Operations Manager to design and own scalable data solutions. You will transform manual processes into automated pipelines and ensure data quality, performance, and availability across cross-functional teams.

The role requires several years of experience with large data volumes, expertise in Python and SQL, and familiarity with Databricks/Snowflake/BigQuery. German and English skills are essential for this on-site position.

Qualifikationen

• Degree in informatics, data science, mathematics, or equivalent.
• Several years of experience with large data volumes and complex pipelines.
• Proficiency in Python for data processes and pipelines; SQL knowledge advantageous.
• Strong ability to present complex topics to diverse audiences.
• Excellent data quality, performance, availability, and stability standards.

Aufgaben

• Design and own stable, scalable data solutions.
• Transform manual processes into automated data pipelines.
• Ensure data quality, performance, availability, and cost efficiency.
• Translate business requirements into technical designs.
• Collaborate with IT, BI, analytics and cross-functional teams.
• Advance engineering practices with new technologies.

Kenntnisse

Python

Data quality

Communication

German language

English language

SQL

Ausbildung

Degree in informatics, data science or mathematics

Tools

Databricks

Snowflake

BigQuery

SQL

Jobbeschreibung

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)!

Data Operations Manager (m/f/d)

Your new job includes

As a Data Operations Manager, 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 optimize 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 optimizing 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 optimization 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

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

What you can be excited about

Attractive employeediscounts

Subsidised publictransport

Extensive training and development opportunities

Employer-funded pension

Are you interested? Good!

If you have any questions, please do not hesitate to contact Jacqueline Husen at [e-mail].

We welcome all people, regardless of age, ethnicity, nationality, gender identity, religion, ideology, sexual orientation, social background or disability.