Volkswagen Financial Services (VWFS) dostarcza rozwiązania finansowe dla wszystkich marek samochodowych Grupy Volkswagen.

Bank, Leasing oraz Ubezpieczenia to kluczowe obszary działania VWFS, który pod jednym parasolem oferuje usługi finansowe związane z zakupem i eksploatacją samochodów marek takich jak: Audi, Seat, Skoda, Volkswagen, Volkswagen Samochody Dostawcze, czy Porsche.

Celem naszych działań jest mobilność klientów, czyli możliwość używania, ale i posiadania auta za niewielkie pieniądze. Pod marką Volkswagen Financial Services działają trzy spółki:

Volkswagen Bank GmbH Oddział w Polsce
Volkswagen Financial Services Polska Sp. z o.o.
Volkswagen Serwis Ubezpieczeniowy Sp. z o.o.

Zatrudniamy ponad 500 pracowników, z którymi wspólnie realizujemy naszą misję.

Data Foundation Engineer (w/ IT focus) - Senior Data Engineer

Workplace: Warszawa

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)

Data Foundation Engineer (w/ IT focus) - Senior Data Engineer

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