For our partner company based in Braunschweig , we are looking for a Data Engineer (m / f / d) as part of a direct placement (permanent position with our client).
In this position, you will shape the technological basis for data-driven decisions by co-developing a modern data warehouse architecture based on Data Vault from scratch. You will implement highly automated ETL / ELT pipelines with Python and dbt and transfer complex data streams into a high-performance, future-proof infrastructure. You will act at the interface between innovation and stability in order to provide business-critical insights for the entire company.
You can start immediately or at a later date.
Are you eager to play a key role in shaping modern data architectures and orchestrating innovative pipelines? Then send us your application!
Here's what our clients offer
- Secure and permanent position directly with our partner
- Possibility of mobile working on individual days of the week
- Company vacations between Christmas and New Year
- Flexible working hours and flexitime
- Vacation and Christmas bonus payments
- Job bike leasing offers
- Individual advice on your application process from our Randstad consultants
Your tasks
Establishment and continuous further development of a central data vault-based data warehouse systemDesign, implementation and automation of complex data pipelines using ETL and ELT processesEnsuring data quality and performance within the entire data landscapeUse of modern technologies such as Python, Apache NiFi and dbt for process optimizationDeveloping robust infrastructures to provide business-critical insightsClose collaboration with related departments to identify technical requirementsDesigning innovative solutions within a future-oriented IT architectureYour profile
Experience in the field of data engineering, ETL processes or data warehousingConfident use of the Python programming language in the context of data processingKnowledge of modeling according to the data vault principleIdeally initial contact with orchestration and transformation tools such as Apache NiFi or dbtAnalytical mindset for solving complex problems in data structuresHigh degree of personal responsibility in the implementation of technical concepts