Senior Data Engineer
Indexed description
We digitize the daily and future trading business for millions of people. Every job is different. And every human anyway. Below you will find the best possible description of your potential future role. If you basically find yourself here, then you’ve come to the right place!
What You Will Do
- Support our operating within the logistics, supply chain management and production domain
- Collaborate with cross-functional teams to define data requirements
- Act as a solution engineer to design, implement, and maintain scalable data architecture
- Ensure data quality, governance, and compliance across data workflows Optimize performance of data systems and pipelines
- Consult other product teams regarding best practices in data engineering
- 6 – 7 years of general experience as a Data Engineer
- Hands-on with Snowflake (including Snowpark, Dynamic Tables, etc.)
- Strong expertise in data transformation tools like DBT (Data Build Tool)
- Experience in Scheduling/orchestration solutions (Control-M, Google Cloud Composer)
- Remarkable SQL knowledge Python for data transformation and automation
- Knowledge in software as a code (optenTofu/ Terraform)
- Experiences in building CI / CD data pipelines
- Proficiency in Git, utilising Gitlab / Github
- SAS (Statistical Analysis System)
- Proficiency in German language
- Personal educational budget
- Regular technical training
- Foreign language classes International training
- Library (physical books and online materials)
- 25 days paid vacation
- Social package (additional health and life insurance, money for transport, sports and other activities)
- Hybrid working model (60/40 office to home)
- Hackathons
- Recreation area, table tennis, football, PS, billiard, chess
- Cozy office building next to a park
- Underground Parking places
- Snacks, fruit, and beverages
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