Senior Manager, Data Engineering (m/f/d)

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Requirements:

• 5+ years of experience in data engineering, software development, or related fields, with expertise in large-scale data projects.
• Proven experience in leading small teams, fostering a collaborative and results-driven environment.
• Hands-on knowledge of Azure or other public cloud platforms, Databricks, Data Factory, and Synapse Analytics.
• Strong background in Big Data technologies (e.g., Apache Spark, Kafka, Flink) and SQL.
• Proficiency in at least two programming languages (e.g., Python, Scala, Java) and a passion for cloud-native technologies.

Responsibilities:

• Lead a small team of data engineers, providing mentorship, guidance, and support to drive their growth and success.
• Oversee the design, implementation, and optimization of scalable, high-performing data pipelines.
• Collaborate with AI Engineers, Architects, Analysts, and Data Scientists to understand and meet their data needs.
• Ensure adherence to CI/CD practices and DevOps principles in all data projects.
• Shape and execute the company’s Data & AI Strategy, optimizing performance, scalability, and security.