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(Senior) Data Engineer (m/f/d) - Azure

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Berlin
Vollzeit

Veröffentlicht am 21.01.2026

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(Senior) Data Engineer (m/f/d) - Azure

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Erstellt mit künstlicher Intelligenz

p /pp /pp style=text-align:justify /pp style=text-align:justifystrongspan style=font-family:arial, helvetica, sans-serifWe are looking for a/span/strong/pp style=text-align:justifystrongspan style=font-family:arial, helvetica, sans-serif(Senior) Data Engineer (m/f/d)/span/strong/pp style=text-align:justifystrongspan style=font-family:arial, helvetica, sans-serif(unlimited, full-time) Join our team at our location in Berlin – hybrid working conditions available/span/strong/pp style=text-align:justify /pp style=text-align:justifystrongspan style=font-family:arial, helvetica, sans-serifYour Mission:/span/strong/pp style=text-align:justifyspan style=font-family:arial, helvetica, sans-serifAs part of our Data Engineering team, you’ll design, build, and maintain robust data pipelines using Azure Data Factory, Databricks, Airflow, and other cloud-native tools. Youll shape how we ingest, transform, and serve data across our organization—powering analytics, reporting, and decision-making at scale./spanbrspan style=font-family:arial, helvetica, sans-serifThis is a hands-on, impact-driven role for someone who enjoys working across big data, cloud platforms, and data infrastructure. You’ll collaborate with product, analytics, and engineering teams across countries and functions./span/pp style=text-align:justify /pp style=text-align:justifystrongspan style=font-family:arial, helvetica, sans-serifWhat you are expected to do:/span/strong/pulli style=text-align:justifyspan style=font-family:arial, helvetica, sans-serifDesign and implement scalable ETL/ELT pipelines in a lakehouse architecture using Databricks, Azure Data Factory, Azure Data Lake, and other modern tools./span/lili style=text-align:justifyspan style=font-family:arial, helvetica, sans-serifCreate analytical data models and structures optimized for performance and usability./span/lili style=text-align:justifyspan style=font-family:arial, helvetica, sans-serifDrive best practices in data engineering, including CI/CD with Azure DevOps, Git workflows, testing, and monitoring./span/lili style=text-align:justifyspan style=font-family:arial, helvetica, sans-serifIntegrate workflows and orchestration using Airflow and other tools as needed./span/lili style=text-align:justifyspan style=font-family:arial, helvetica, sans-serifTroubleshoot, monitor, and improve data quality, pipeline reliability, and job performance across distributed systems./span/lili style=text-align:justifyspan style=font-family:arial, helvetica, sans-serifWork with stakeholders to understand data requirements and deliver scalable, maintainable solutions./span/lili style=text-align:justifyspan style=font-family:arial, helvetica, sans-serifStay on top of trends in cloud data platforms, open-source frameworks, and engineering practices./spanbrspan style=font-family:arial, helvetica, sans-serif /span/li/ulp style=text-align:justifystrongspan style=font-family:arial, helvetica, sans-serifWhat you should bring:/span/strong/pulli style=text-align:justifyspan style=font-family:arial, helvetica, sans-serifBachelor’s or Master’s degree in Computer Science, Engineering, or a related field./span/lili style=text-align:justifyspan style=font-family:arial, helvetica, sans-serif5+ years of experience in data engineering, with a focus on cloud-native platforms./span/lili style=text-align:justifyspan style=font-family:arial, helvetica, sans-serifHands-on expertise with Azure Data Factory, Databricks, Azure Data Lake, SQL, and Python./span/lili style=text-align:justifyspan style=font-family:arial, helvetica, sans-serifFamiliarity with DevOps workflows (e.g., Git, Azure DevOps) and orchestration tools like Airflow./span/lili style=text-align:justifyspan style=font-family:arial, helvetica, sans-serifSolid understanding of data warehousing, data modeling, and modern data architecture./span/lili style=text-align:justifyspan style=font-family:arial, helvetica, sans-serifStrong communication skills and the ability to work cross-functionally with business and technical stakeholders./span/lili style=text-align:justifyspan style=font-family:arial, helvetica, sans-serifA proactive mindset, capable of owning outcomes and navigating ambiguity./span/li/ulp /pp /p

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