Senior Data Engineer

📋 Description

• Designing and optimizing data pipelines and ETL for large-scale ingestion.
• Building and maintaining data platforms and data warehouses for analytics.
• Implementing scalable storage with high availability and performance.
• Improving data processing performance for speed and scalability.
• Collaborating with data scientists and analysts to translate business needs.
• Ensuring data quality, governance, and compliance across systems.

🎯 Requirements

• 6+ years of senior data engineering experience.
• Hands-on SQL, Python, and Spark for large-scale processing.
• Databricks experience.
• Data warehousing with Snowflake, Redshift, or BigQuery.
• Cloud data solutions (AWS/Azure/GCP) and data lake architectures.
• Travel up to 1 week per month onsite in Germany; passport required.

🎁 Benefits

• Annual Company Bonus – Profit-sharing based on performance.
• Work Remotely and Flexibly – Flexible schedule and work-life balance.
• Remote Working Allowance – Up to €1250 every two years.
• Training and Development Allowance – Up to €1000 for upskilling.
• Healthcare – Health insurance under CCNL.
• Pension & Insurances – State + private pension with match.