Senior Software Engineer of Data Platform and Services

📋 Description

• Data pipeline migration: Move Hadoop/Spark/Impala to Databricks; port SQL and ETL.
• Vibe coding: Guide AI models (Claude, Codex) to port SQL and legacy code.
• Develop and modernize: Build Airflow DAGs and Databricks jobs; ensure scalable, resilient pipelines.
• Ensure data integrity: Validate parity and quality across legacy and modern systems.
• Drive operational excellence: Contribute to SLOs/SLAs, observability, and on-call rotation.
• Data experience: Knowledge of contact center analytics and related data.

🎯 Requirements

• 6–8 years in software engineering with distributed systems and large-scale data platforms.
• Platform migrations: lead or contribute to Hadoop/Impala to Databricks migrations.
• Databricks ecosystem: Jobs, Delta Lake, clusters; port SQL from Impala/Hive to Spark SQL.
• Orchestration & scripting: Python for ETL; deep Databricks DAG design.
• Cloud infrastructure: Google Cloud Storage and Kubernetes (GKE) microservices.
• Data experience: strong knowledge of contact center analytics and related data.

🎁 Benefits

• Remote-First Model: work from anywhere; offices in Mannheim and Berlin.
• Additional Pension, ESPP, and annual bonus depending on achievements.
• Equipment: Internet and mobile reimbursement.
• Development: access to internal professional development resources.
• Flexible PTO: 33 personal days, 28 vacation days, 5 care days.
• Volunteering days to support community initiatives.