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.

Senior Cloud Data Engineer

Workplace: Warszawa

Join our 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.

As part of the Data Foundation, you will join the Vehicle Data API Team (VDA) , responsible for a central API platform that provides vehicle data across the entire Volkswagen Financial Services Group. You will work on modern cloud-based solutions, helping to ensure reliable, scalable, and high-quality access to vehicle information used by multiple business units and products.

Responsibilities:

Develop, operate, and continuously improve cloud-native APIs and microservices powering the Vehicle Data platform
Design, build, and maintain reliable data ingestion and processing pipelines
Implement and optimize automated data quality controls across multiple vehicle data sources
Ensure high availability, stability, and performance of production services
Troubleshoot incidents, resolve technical issues, and support operational processes such as Incident, Problem, and Service Request Management
Collaborate closely with business stakeholders and technical teams to design efficient data-driven solutions
Contribute to the evolution of the platform architecture, engineering standards, and best practices
Support CI/CD automation, monitoring, and observability of the platform
Drive continuous improvements in agile ways of working and engineering processes
Participate in an on-call rotation when required (up to 12 days per year)

You are a perfect candidate if you:

Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field
At least 5 years of professional experience in software engineering, data engineering, or backend development
Strong hands-on experience with Python
Experience designing and developing APIs and microservices architectures
Experience building and maintaining ETL/ELT or data processing pipelines
Good understanding of relational databases, data modeling, and schema design (MySQL is a plus)
Experience working with AWS cloud services
Knowledge of Infrastructure as Code (IaC) and cloud automation practices (preferably Terraform)
Experience with containerization and orchestration technologies such as Docker, ECS, or EKS
Familiarity with CI/CD pipelines, automated testing, version control, and modern software delivery practices
Experience with monitoring and observability tools, preferably Datadog
Ability to work with structured, semi-structured, and unstructured data formats (e.g., JSON, Parquet)
Strong analytical and problem-solving skills with a proactive approach to troubleshooting
Experience working in Agile environments and using tools such as Jira
Strong communication, documentation, and knowledge-sharing skills
Customer-oriented mindset and ability to collaborate effectively with diverse stakeholders
Professional English and Polish language skills (C1 level)

Nice to have:

Experience in the automotive, mobility, connected vehicle, or telematics domain
Understanding of vehicle data ecosystems and related business processes
Experience working in large international organizations
Familiarity with SAFe or scaled Agile frameworks

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)

Senior Cloud Data Engineer

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