Senior Data Engineer - Analytics

📋 Description

• Join the Self Service Analytics team within our Data department.
• Collaborate with analysts to translate business requirements into scalable data models.
• Model data as a product and shape our data lake in medallion architecture.
• Build and maintain the data analytics platform: ingestion, validation, production data.
• Contribute to data governance: catalogue, quality and compliance.
• Design ETL pipelines, batch processing, and data warehousing.

🎯 Requirements

• Proven Data Engineer experience in analytics or similar roles.
• Translate business needs into robust, scalable data models.
• Familiar with data lake concepts and medallion architecture.
• Experience building ETL pipelines, batch processing, data warehousing.
• Knowledge of data governance, data quality, and cataloging.
• Collaborative, cross-team approach with data analysts and engineers.

🎁 Benefits

• 25 vacation days paid by Pennylane
• Competitive compensation package
• Company shares
• Home workspace budget and coworking allowance
• Gymlib wellness access across Europe
• Apple equipment provided