Data Engineer (m/f/d) at Flix
Berlin, , Germany -
Full Time


Start Date

Immediate

Expiry Date

14 Nov, 25

Salary

0.0

Posted On

14 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

At Flix, we offer a tech-driven environment where innovation meets real-world impact, with competitive pay, strong growth opportunities, and a culture of collaboration and ownership.
We are trailblazers in data-driven marketing. We firmly believe that successful marketing is rooted in high-quality data, and our commitment to support marketing teams with reliable data solutions is what sets us apart. You will work in a talented team of data engineers, data scientists & a product owner, delivering data products and models that empower marketing teams to take optimal budget steering decisions.

WHY JOIN FLIX?

At Flix, we empower our teams to push boundaries and shape the future of mobility. As we continue to scale globally, we harness cutting-edge technology to make mobility smarter, more sustainable, and more affordable.
If you’re looking for a place where you can drive change and redefine how millions of people travel, Flix is the place where you can lead your journey!

Responsibilities
  • Use Python, SQL, and Airflow to design and maintain robust, scalable data pipelines that deliver timely, actionable insights to marketing stakeholders.
  • Apply analytical thinking to understand complex data requirements and translate them into efficient data pipelines.
  • Ensure data quality through validation, monitoring, and clear documentation.
  • Proactively debug and refactor data pipelines to enhance performance, accuracy, and maintainability, based on a solid understanding of the underlying business logic.
  • Participate in code reviews and contribute to engineering best practices within the team.
  • Collaborate with the Product Owner and cross-functional teams to understand marketing stakeholders’ data needs and translate them into technical solutions.
  • Assist with ad hoc requests and help resolve data-related issues by applying both technical and analytical problem-solving skills.
  • Participate in the continuous improvement of data infrastructure by optimizing pipeline performance, enhancing data models, and integrating scalable, future-proof solutions.
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