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Data Operations Manager (m/w/x)
Automating data pipelines and delivering high-quality data products. Several years of experience with large data volumes and complex pipelines required. Work with Databricks, Snowflake, or BigQuery.
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Anforderungen
- Degree in informatics, data science, mathematics, or comparable field/qualification
- Several years professional experience with large data volumes and complex pipelines
- Strong proficiency in Python for data processes and pipelines
- Good SQL skills
- Experience with modern data platforms (Databricks, Snowflake, BigQuery)
- Continuous optimization of data processes and systems
- Ability to present complex topics understandably
- Effective communication for different target groups
- High quality standards for data quality, performance, availability, stability
- Very good German skills
- Good English skills
- Willingness to get in touch if not ticking all boxes
Aufgaben
- Design and own stable, scalable data solutions
- Transform manual processes into automated data pipelines
- Deliver high-quality data products
- Ensure data quality, performance, and availability
- Translate business requirements into technical designs
- Collaborate closely with IT, BI, and adjacent teams
- Drive the evolution of the engineering landscape with new technologies
- Process large volumes of data across complex data pipelines
- Ensure provisioning of heterogeneous satellite systems 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 optimize existing processes and systems
- Contribute 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
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
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