Application Guide

How to Apply for IT Data Engineer (f/m/d)

at Freudenberg

🏢 About Freudenberg

Freudenberg is a global technology group that is pioneering tailor-made emission-neutral energy systems for sustainable heavy-duty e-mobility. By joining Freudenberg, you'll be at the forefront of the green energy transition, working on cutting-edge solutions that directly combat climate change. The company values innovation, sustainability, and technical excellence, making it an ideal place for engineers who want their work to have a real environmental impact.

About This Role

As an IT Data Engineer at Freudenberg, you will design and build robust data pipelines integrating multiple sources to support the development of emission-neutral energy systems. Your work will transform raw data into actionable insights that drive product innovation and operational efficiency. This role is critical for ensuring data quality and availability, directly enabling data-driven decisions that accelerate the company's mission in e-mobility.

💡 A Day in the Life

A typical day might start with a stand-up meeting with your data team to discuss pipeline priorities. You'll then spend time developing and testing a new Databricks notebook for ingesting sensor data from electric vehicle batteries, followed by optimizing an existing Azure Data Factory pipeline for better performance. Later, you might collaborate with data scientists to ensure the data they need for model training is clean and accessible.

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Interview Prep

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🎯 Who Freudenberg Is Looking For

  • You have a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field, with proven experience as a Data Engineer.
  • You are highly proficient in Python and SQL, and have deep experience with both relational and non-relational databases.
  • You have hands-on expertise with Databricks, Azure Data Factory, Microsoft Fabric, Terraform, and the Azure cloud platform.
  • You are passionate about sustainability and eager to apply your data engineering skills to solve challenges in heavy-duty e-mobility.

📝 Tips for Applying to Freudenberg

1

Highlight any experience with Databricks, Azure Data Factory, or Microsoft Fabric in your resume and cover letter, as these are key requirements.

2

Showcase projects where you built scalable data pipelines from multiple sources, especially if they relate to energy or IoT data.

3

Mention your familiarity with Terraform and infrastructure-as-code practices, as this is specifically listed.

4

Tailor your application to emphasize how your work can contribute to emission-neutral energy systems, demonstrating alignment with Freudenberg's mission.

5

If you have experience with real-time data processing or streaming, include that as it is highly relevant for e-mobility systems.

✉️ What to Emphasize in Your Cover Letter

['Emphasize your technical expertise in Python, SQL, and Azure cloud technologies, especially Databricks and Azure Data Factory.', 'Explain how your data engineering skills can help Freudenberg design efficient data pipelines for their energy systems.', "Express enthusiasm for sustainability and e-mobility, linking your career goals to the company's mission.", 'Provide a concrete example of a data pipeline you built that improved data quality or enabled better insights.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Research Freudenberg's specific emission-neutral energy systems for e-mobility, such as their fuel cell or battery technologies.
  • → Look into Freudenberg's sustainability goals and recent press releases about their e-mobility initiatives.
  • → Understand the competitive landscape of heavy-duty e-mobility and how Freudenberg differentiates itself.
  • → Check if Freudenberg has any published case studies or technical blogs about data engineering challenges they've solved.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you design a data pipeline for real-time battery performance data from heavy-duty vehicles?
2 Describe your experience with Databricks: how have you used it for ETL or data transformation?
3 Explain how you would use Terraform to manage Azure resources for a data engineering project.
4 Walk us through a complex SQL query you wrote to join multiple datasets and ensure data accuracy.
5 How do you ensure data security and compliance when integrating data from multiple sources?
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⚠️ Common Mistakes to Avoid

  • Don't focus only on generic data engineering; make sure to connect your experience to the energy/e-mobility domain.
  • Avoid lacking specific examples of using Azure services like Data Factory or Databricks; generic cloud experience won't suffice.
  • Don't ignore the importance of data security and quality; these are explicitly mentioned in the job description.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Freudenberg!

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