Data Engineer (m/w/d)

As a Data Engineer (m/w/d) at Audi Interaction GmbH, your primary responsibilities include planning, implementing, and optimizing the Business Intelligence (BI) infrastructure. You'll work on designing ETL processes for data integration and ensuring data quality across BI systems. Collaboration with BI Analysts to develop data-driven solutions is also a key part of your role, enabling you to influence business decisions through effective data management.

To be a successful candidate for the Data Engineer (m/w/d) position at Audi Interaction GmbH, you should have a degree in Computer Science or Business Informatics, along with 3-5 years of experience in data engineering or business intelligence. Proficiency in SQL, NoSQL, and knowledge of BI tools such as Microsoft Power BI or Tableau are essential, along with strong analytical skills and a proactive approach to problem-solving.

Audi Interaction GmbH is committed to the professional growth of its employees, especially Data Engineers (m/w/d). This includes opportunities for individual training and development, as well as a structured onboarding process that eases you into your role. Employees have access to a wealth of resources to enhance their skills and stay updated with industry trends.

Essential skills for the Data Engineer (m/w/d) role at Audi Interaction GmbH include proficiency in database management systems (both SQL and NoSQL), strong ETL knowledge, and experience with BI tools like Microsoft Power BI and Tableau. Familiarity with programming languages such as Python, as well as cloud technologies and agile methodologies, are also highly beneficial for success in this position.

At Audi Interaction GmbH, the work environment is collaborative and innovative, fostering teamwork and creativity among Data Engineers (m/w/d). With a commitment to inclusion and individual growth, you'll find team members who are enthusiastic and supportive, making it a great place to advance your career while contributing to meaningful projects.

When answering this question, highlight specific ETL projects you've worked on, the tools you used, and the challenges you overcame. Discuss how these experiences have prepared you for the ETL responsibilities at Audi Interaction GmbH, emphasizing your ability to design efficient data workflows.

Share your experience with various BI tools, detailing how you have utilized them in past projects. Explain your preference for specific tools like Microsoft Power BI or Tableau and how they enabled you to create effective data visualizations, enhancing decision-making processes.

Discuss the strategies you employ to maintain data quality, such as regular validation checks, user feedback loops, and leveraging automated testing tools. Emphasize your understanding of data integrity principles and how they relate to the responsibilities of a Data Engineer at Audi Interaction GmbH.

Share a specific instance where you identified and resolved a complex data architecture issue. Focus on the steps you took to diagnose the problem, implement a solution, and the impact of your resolution, which will illustrate your analytical skills relevant to the Data Engineer role.

Be prepared to discuss your expertise in programming languages like Python or any other relevant languages you might have used in data processing and automation. Provide examples of projects where these skills were crucial, especially where you developed scripts or applications that improved data workflows.

Discuss your approach to continuous learning, such as following industry blogs, participating in forums, attending workshops, or pursuing certifications. Indicating your eagerness to stay current with developments in data technologies shows that you are proactive, aligning well with Audi Interaction GmbH's values.

Explain how you have utilized cloud platforms such as AWS or Azure in your previous roles. Discuss the specific services you have used within these platforms to enhance data storage, processing, and scalability, making sure to connect your experience to the expectations of the Data Engineer position at Audi Interaction GmbH.

Discuss your ideas on maintaining open communication and fostering a collaborative environment where BI Analysts feel valued. Provide an example of a successful past collaboration that led to innovative solutions, showcasing your teamwork skills vital for the Data Engineer role.

List the project management tools you've used, like Jira or Trello, explaining how these tools helped you manage tasks and improve team collaboration. Share a brief example of how you successfully used these tools to coordinate with teams efficiently, aligning with the workflow culture at Audi Interaction GmbH.

Provide insights into upcoming trends in data engineering, such as the growing importance of real-time analytics, the impact of AI and machine learning, and the shift toward serverless architectures. Your perspective shows foresight and aligns well with Audi Interaction GmbH's commitment to innovation.