Senior Data Engineer (m/f/d)

How you'll make an impact:

• you partner with engineering, analytics, and product teams to design and build impactful data solutions
• you modernize our data platform—shaping architecture, challenging the status quo, and balancing innovation with efficiency
• you build and run scalable, high-performance data pipelines for both batch and streaming applications
• you model and optimize terabyte-size datasets to drive insights and enable ML/AI applications
• you mentor junior teammates and foster a culture of technical excellence and collaboration
• you champion best practices in engineering, testing, privacy, and governance

What you'll need:

• you possess deep experience with distributed systems, particularly Apache Spark in production settings
• you write clean code in Python, Scala, or Java, and follow solid engineering principles
• you embrace CI/CD and DevOps workflows for fast, reliable data engineering
• you think analytically and care deeply about data lifecycle and quality assurance
• you understand ML fundamentals and work effectively with data scientists
• you’ve architected and evolved modern data platforms.
• you know your way around platforms like Palantir Foundry, Databricks, Snowflake, or Microsoft Fabric.
• you lead initiatives across teams (without needing formal authority)

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