Join our newly created European Data & Analytics HUB! - we are growing!
This strategic initiative is created to enable the change of Volkswagen Financial Services (VWFS) to a data-driven company. Our goal is to empower all VWFS business units to use data effectively, efficiently and compliantly in their business decisions.
D&A originally has been set up as central HQ function located in Germany. To strengthen D&A’s international profile and to cope with the increasing demand for D&A’s services, the European D&A Hub has recently been established in Warsaw, Poland. The teams in both locations work closely aligned to deliver outstanding data products and services for international data use cases at VWFS group.
Data Foundation — About:
The Data Foundation team makes the company’s data available, and thus builds the groundwork for the efficient use of data by all business units at VWFS. We want to make accessing data feel like shopping at a market: everything in one place, easy to find, and in reliable quality. We cover the entire process from initial data requirements to reliable integrated data provisioning for analytical, administrative, and operational purposes.
Data Engineering is the main activity at Data Foundation. Each Data Engineer ensures that data requirements have been properly defined and efficient and effective data products have been created to fulfill these requirements reliably on a day-to-day basis. One of the teams working in the Data Foundation is the Vehicle Data API Team (VDA). Its works concentrate on a common VWFS interface used to make vehicle information accessible to the entire VWFS group.
Responsibilities:
- Development and Operation of productive microservices based API system
- Management of standard support processes (Incident, Service Request, Problem Management, Bug Handling, etc.) using DWS and ITSM
- Developing and executing automated data quality processes across all vehicle data sources
- Continuous improvement of data upload pipelines
- Advise our internal customers on the design of efficient data-driven processes
- Ensure that your data products run reliably and efficiently in production
- Advance the agile way of working at Data Foundation with your ideas for process improvements
- Perform on-call duties where required (on up to 12 days per year)
You are a perfect candidate if you:
- Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field
- Min 5 years of work experience in areas like:
- Strong proficiency in Python and AWS services
- Development of APIs and microservices
- Building and maintaining ETL/ELT pipelines
- Database technologies, Data modeling and schema design (ideally MySQL)
- Experience with continuous delivery toolchains, automated testing, build tools, and CI/CD workflows (e.g., Git, Concourse)
- Experience with monitoring solutions (e.g., Datadog)
- Handling structured, semi-structured (e.g., JSON, Parquet), and unstructured data
- Experience with Infrastructure as Code (IaC)
- Experience with Containerization and Orchestration (Docker, ECS/EKS)
- Experience and strong interest in the automotive market and vehicle technology
- Knowledge transfer and documentation skills
- Team player
- Strong problem-solving skills and the ability to prioritize tasks effectively under pressure
- Practical experience in agile work environments (preferably based on SAFe) using tools such as Jira
- Excellent English and Polish language skills (C1 level)
- High level of customer focus, demonstrated on several occasions
We offer:
- Employment contract
- Hybrid work model and a very good office location (Rondo ONZ 1)
- Medical package (full specialist package with dentistry)
- Health Academy
- Multicafeteria - everyone will find something for themselves ☺
- Lunch card
- Life insurance
- Employee Pension Program
- Company products and services at a special price
- Interesting trainings
- Study funding
- Online language classes (English/German)
