Data Engineer (Power BI, Azure Databricks, Python)

Description

At Mercedes-Benz, we don’t just build cars, we create great software. We develop tomorrow’s mobility together in our product lines, pushing the digitization of the Mercedes-Benz Group AG forward. As a tech company, we are agile, innovative, and always keep our finger on the pulse of change. This is why inner source, FOSS, secure code, DevOps, infrastructure as code (IaC), data analytics, artificial intelligence, and many more are core components of our daily work.

IT is our passion, and we move toward a bright future, sometimes quickly, sometimes creatively but always together.

We believe in integrity, trust, and transparency as part of our flexible work culture, with a strong emphasis on teamwork and the learning process, making mistakes, and achieving continuous progress together in all products we create and develop within the Mercedes-Benz Group.

Our workplace is anywhere* with a fast connection whether remotely at home, at your favorite café, or at our integrated office at Wisma Mercedes-Benz, which comes with an LRT station at its doorstep, an al fresco cafeteria, ample greenspaces, and free parking.

Job Description

1. Requirements analysis and customer consulting for analytics topics.
2. Identification, extraction, transformation and loading of data.
3. Storing data in relational, multidimensional, and NoSQL databases or data lakes both on-premises and in the cloud.
4. Modelling of data according to common methods for further processing.
5. Testing and quality assurance of data.
6. Use of source control and CI/CD processes.
7. Analyse linking of data using SQL, statistics, and data science to generate new insights.
8. Visualize data taking into account best practices such as information design with popular reporting and dashboarding systems.
9. Provide data through file sharing or REST APIs.
10. Creation of data architectures based on public cloud services.
11. Collaboration in agile projects.

Qualifications

1. Bachelor’s degree in computer science, Applied Mathematics, Engineering, or any other technology related field.
2. Experience with Agile methodologies.
3. Experience with Enterprise technologies.
4. Experience with Product Oriented Teams.
5. Programming or Data Architecture related certification.

Specific Knowledge/Skill

1. Excellent communication skills.
2. Good customer service orientation.
3. Analytical, passionate and drives technology and product quality.
4. Result-oriented thinking and action.
5. Has expertise in data modelling, data architectures for complex analytics architectures and requirements analysis.
6. Independently educates oneself further and derives necessary changes for the team and the project.
7. Has expert knowledge in the implementation and definition of reports and dashboards.

Responsibility and Scope for Decision-Making

1. Independently advises clients on analytics systems and supports the development of data-driven decisions.
2. Independently acquires new projects and products.
3. Builds project and product teams.
4. Supports the further development of team members.
5. Controls large or complex analytics projects.
6. Connects and shares his/her knowledge within the company.