Senior Data Engineer

📋 Description

• Design, manage, and continually enhance a scalable data platform (warehouse / lake / lakehouse)

• Create and sustain robust ETL/ELT pipelines to assimilate a diverse range of data sources

• Maintain high standards of data quality, performance, scalability, and cost efficiency

• Establish monitoring, governance, and security protocols (inclusive of GDPR compliance)

• Collaborate closely with analytics, product, and engineering teams

• Automate data workflows and consistently refine existing architectures

• Actively engage in shaping the data strategy and assess new technologies

⛳️ Requirements

• Several years of experience in data engineering or a related field

• Proficient programming skills in Python and SQL with a solid understanding of engineering standards (testing, CI/CD)

• Extensive knowledge of contemporary data architectures and data modeling

• Practical experience with cloud services (AWS, GCP, or Azure) and popular data tools (e.g., Airflow, dbt, Spark, Snowflake)

• Strong quality focus and ownership mentality for production data pipelines

• Capability to clearly articulate technical solutions and translate business needs

• Team-oriented individual with a passion for mentoring and ongoing development

• Fluent in English (mandatory); proficiency in German is an advantage

🏝️ Benefits

• Competitive, attractive compensation package

• Flexible working model: remote-first with optional office attendance

• 30 days of paid annual leave

• Comprehensive onboarding with dedicated support from the recruitment team

• Open communication through weekly 1:1 meetings and regular all-hands sessions

• Access to corporate perks

• Long-term career opportunities within a growing corporate group