Design, build, and maintain scalable ETL/ELT data pipelines, develop and manage data models, data lakes, and data warehouses, and ensure data reliability, integrity, and performance across systems.
Requirements
- At least 5+ years of experience in data engineering or related roles
- Strong proficiency in programming languages commonly used in data processing and application development including Python and good understanding of Scala or Java
- Hands-on experience with both SQL and NoSQL databases, ensuring efficient data modeling, storage and transformation
- Experience with data warehouses and data lake technologies
- Familiarity with cloud platforms and deploying scalable applications
- Strong problem-solving, communication and leadership skills with the ability to drive technical decisions
- Ability to work independently and collaboratively in an agile, fast-paced, high-impact environment
Benefits
- Become part of our "Winning Culture" and work on award-winning projects in high-end technological setting
- Corporate Social Responsibility and Inclusion standards
- Company own learning platform
- Wellbeing & Employee Assistance Program
- Solid qualification-, performance- & competence-based remuneration model
- Attractive pension scheme and various allowances
- Bonus/referral/incentive/recognition programs
- Extended health insurance coverage also for private usage (premium package)
- Hybrid work model
- Free parking lots and a bike garage for storage