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.