Your job at DKV Mobility? 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. True to our claim: You drive, we care. Become part of our diverse, dedicated and unique team!

What you can expect

• You will work in an innovative and fast-growing environment, leveraging your strong communication skills to turn data into tangible business value for the company.
• You will collaborate closely with your team and business partners in an agile setup to develop data-driven products that solve business challenges – including building data pipelines as well as working on product, reporting, and analytics topics.
• You will design and maintain a scalable, cloud-based data landscape that establishes a new foundation for working with data at DKV.
• You will prepare your results in a clear and understandable way and present them effectively to business stakeholders.
• You will stay open to new approaches and continuously optimize your solutions to achieve better results in terms of performance, quality, and cost.

What makes you stand out

• You hold a degree in (business) mathematics, computer science, economics, or a comparable field.
• You bring relevant professional experience in the data space, for example as a Data Engineer or Analytics Engineer.
• You have solid knowledge of SQL and Python, as well as proven experience in building cloud-based data pipelines using tools such as Snowflake, Azure Data Factory, DBT, and Azure Data Lake.
• You have a strong interest in business contexts. You question requirements and aim to understand the context of the data and how it is ultimately used.
• You stand out through strong analytical skills, a proactive mindset, and excellent problem-solving abilities.
• You are proficient in English at a business fluent level and have very good German language skills, both written and spoken.

Your job at DKV Mobility? 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. True to our claim: You drive, we care. Become part of our diverse, dedicated and unique team!

What you can expect

• You will work in an innovative and fast-growing environment, leveraging your strong communication skills to turn data into tangible business value for the company.
• You will collaborate closely with your team and business partners in an agile setup to develop data-driven products that solve business challenges – including building data pipelines as well as working on product, reporting, and analytics topics.
• You will design and maintain a scalable, cloud-based data landscape that establishes a new foundation for working with data at DKV.
• You will prepare your results in a clear and understandable way and present them effectively to business stakeholders.
• You will stay open to new approaches and continuously optimize your solutions to achieve better results in terms of performance, quality, and cost.

What makes you stand out

• You hold a degree in (business) mathematics, computer science, economics, or a comparable field.
• You bring relevant professional experience in the data space, for example as a Data Engineer or Analytics Engineer.
• You have solid knowledge of SQL and Python, as well as proven experience in building cloud-based data pipelines using tools such as Snowflake, Azure Data Factory, DBT, and Azure Data Lake.
• You have a strong interest in business contexts. You question requirements and aim to understand the context of the data and how it is ultimately used.
• You stand out through strong analytical skills, a proactive mindset, and excellent problem-solving abilities.
• You are proficient in English at a business fluent level and have very good German language skills, both written and spoken.