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