Senior Analytics Engineer (Databricks)

TL;DR

Senior Analytics Engineer (Databricks): Building and maintaining robust data models and automated pipelines with an accent on data quality, integrity, and scalability. Focus on implementing CI/CD practices for data products, defining KPIs, and translating complex business requirements into efficient data transformations.

What you will do

• Design, build, and monitor automated ETL/ELT data pipelines.
• Develop and maintain scalable data models for reporting and analytics.
• Implement CI/CD practices to ensure reliable data pipeline deployments.
• Collaborate with data producers and consumers to define and track key performance indicators.
• Ensure high standards of data integrity, security, and quality across all data products.
• Support ad-hoc analyses and document technical data solutions.

Requirements

• Proven experience in data engineering and analytics engineering roles.
• Strong proficiency in SQL and Python for data transformation and automation.
• Hands-on experience with dbt and Databricks.
• Experience implementing CI/CD and DevOps practices within data workflows.
• Solid understanding of data modeling, data warehousing, and data lakehouse architectures.
• Ability to translate business requirements into technical data solutions.

Culture & Benefits

• Hybrid work system offering flexibility.
• Comprehensive health insurance coverage.
• Continuous professional development and training opportunities.
• Access to canteen and public transport.
• Discounts on various partnerships and sports activities.