HH
Data Engineer (m/w/d)
Hamburger Hochbahn AG
flexible Full-time €60k – €80k/yr 3w ago
About the role
About Us
We – the HOCHBAHN, bring over a million people to their destination every day in our buses and trains. In our IT team, you will work on projects that move Hamburg – from modern passenger information systems to IT security in public transport.
What We Offer
We offer a permanent full-time position in Hamburg with flexible working models, the latest technologies, and a working atmosphere where your know-how counts. Our benefits include a 38-hour week, flexible working time models, flexitime, a long-term account for extended breaks, 31 vacation days, and an annual subsidy for health and fitness.
Technologies Used
- Azure
- Databricks
- DevOps
- ETL
- Qlik
- Talend
- Cloud
- Data
Requirements and Your Profile
- Completed degree in Computer Science or Business Informatics or a comparable qualification.
- Experience with data modeling, ETL tools (ideally Talend Data Integration), Data Integration Tools (preferably Qlik Talend, Azure Data Factory, Databricks), and cloud-based data management platforms.
- Know-how in DevOps, databases, storage technologies, and job orchestration.
- Ideally, initial practical experience in conception and data integration as well as knowledge of data migration.
- Willingness to help, team orientation, and an independent way of working.
Your Responsibilities
- You are responsible for the operation of data management applications - including installation, configuration, maintenance, and licensing.
- You contribute your expertise to the conception of the technological basis and then implement it.
- You identify optimization and consolidation potential in introduced applications and systems, implement technical adjustments, and are responsible for further lifecycle management.
- By continuously implementing security measures – including identity management – you ensure the seamless adherence to security standards.
Skills
AzureAzure Data FactoryCloudDatabricksDataDatenbankenDatenintegrationDatenmodellierungDevOpsETLQlikSpeichertechnologienTalend
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