Data Operations Manager (m/f/d)
At a glance
Manager-level Data Architecture & Governance role at Gebr. Heinemann. Hamburg.
Pay not stated Data Architecture & Governance salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and run scalable data solutions, replacing manual work with automated pipelines and reliable data products
- Move large data volumes through complex pipelines and connect satellite systems using import and export processes
- Turn business needs into technical designs for new work and improvements with modelling, analytics, IT and business teams
- Improve data provisioning methods and systems, then investigate failures, add monitoring and refine operations
- Keep production data services dependable and cost-conscious while advising teams and explaining complex topics
What you bring
- A degree in informatics, data science, mathematics or a comparable area, or an equivalent qualification
- Several years handling high-volume data across complex pipelines and systems
- Strong Python skills for building, automating and improving data pipelines
- Very good German and good English for written and spoken communication
Who this fits
You’ll suit work that combines hands-on pipeline engineering with operational reliability and collaboration across technical and business teams. The role is based at the Hamburg HafenCity headquarters, is full-time at 38.5 hours per week, and asks for very good German plus good English. The posting also asks applicants to provide salary expectations and their earliest possible start date.
From the employer
Introduction Sentence
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 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
Preferred Profile
- 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.
Closure
Are you interested? Good! Apply 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.
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