Data Engineer (gn) full-time/part-time (hybrid)

Data Engineer (gn) full-time/part-time (hybrid)

As part of a leading European B2B platform for on‑the‑road payment solutions, you will work in an exciting environment. Our tasks are defined by our Purpose: to drive the transition towards an efficient and sustainable future of mobility. We offer you numerous opportunities to help shape the mobility of tomorrow in a dynamic and agile environment. Our approximately 2,700 employees throughout Europe are united by a common passion: to give their best every day for our customers in more than 50 countries.

Responsibilities

• You develop and maintain cloud‑based data pipelines and data products for the Energy & Vehicle Services area, based on our Snowflake database.
• You support colleagues in developing and consulting on the new, Azure‑based Data & Analytics framework to enable further business growth.
• You support the steering and management of our stakeholders’ business by providing fact‑ and data‑based insights.
• You create data‑driven analyses and insights and ensure the performance and stability of defined company KPIs.
• You are responsible for designing and implementing relational and dimensional data models in a cloud‑based Azure environment.
• You take on technical sub‑project leadership as the Energy & Vehicle Services representative in cross‑functional projects.
• You design and implement innovative optimizations within the cloud data platform environment (operations, performance, monitoring, alerting, data security).

Qualifications

• You hold a completed degree in (Business) Mathematics, Computer Science, Economics, or a comparable qualification.
• You bring several years of experience with a strong focus on designing cloud‑based architectures and products using Microsoft Azure.
• You also have experience working with Snowflake. Knowledge of Python and strong SQL skills gained across multiple roles or projects complete your profile.
• IT security is a fundamental aspect of your design decisions. Experience with machine learning and model lifecycle management is a plus (e.g. TensorFlow, PyTorch, scikit‑learn).
• You possess very strong analytical skills as well as solid project management capabilities.
• You are able to translate your results into clear, self‑explanatory presentations for business stakeholders.
• You are a strong communicator in both English and German.

We are looking forward to your application and to applicants who enrich our diverse culture! Regardless of age, gender, origin and sexual identity and orientation. Severely disabled applicants will be given preference if equally qualified. This position can be full‑time or part‑time (min. 30h/week). DKV Mobility is looking for the best talents and knows that these are not always available on a full‑time basis. Many of our employees work part‑time or in flexible working models. Please talk to us about the flexibility you need during the application process.

Have we made you curious? Then we are looking forward to your application! If you still have open questions then please contact Cristina Moraru via