Data Engineer

Want to be a part of building and improving our data platform ? As a Data Engineer, you will play an important role in taking our Data Platform to the next level. You will design, develop and maintain data solutions that support analytics, reporting and decision-making. We are big fans of experimenting and testing out new approaches technologies, so we hope you are as well!

If you are passionate about data, sports, and working on exciting projects, we’d love to hear from you!

WHAT YOU WILL BE DOING

• Build and maintain our Data Platform together with the team.

• Design and improve how we use data based on business needs.

• Work with modern data processing, integration, and modeling techniques.

• Improve our data infrastructure to make it more reliable and efficient.

• Work with different teams to understand and improve project requirements.

BENEFITS

• Private health insurance

• Sick leave 100% paid

• Canteen with free meals and drinks

• Flexible working hours

• Additional vacation days after two years in the company

We also provide up-to date equipment, entertainment facilities in a modern office right in the city center, company parties, yearly trip out of town, holiday presents and more.

Note: Flexible working hours and occasional work from home options in Better Collective help us achieve proper work-life balance. We strongly believe in the magic of teamwork, though, so we come to the office at least twice a week to keep the team spirits high.

Please submit your CV and cover letter in PDF; only applications submitted in English will be considered.

Expected start date: as soon as possible.

Application deadline

We look forward to hearing from you and accept applications until 21st April.
Please submit your CV and cover letter in PDF; only applications submitted in English will be considered.

Expected start date: as soon as possible

Requirements

Your skills and tools:

• Bachelor’s degree in Computer Science, Mathematics, Software Engineering, or a closely related discipline.

• 3+ years of experience in Data Engineering field;

• Python (Must-have).

• Cloud Data Warehousing: Solid understanding of cloud platforms and best practices.

• Data Modeling: Experience with data modeling concepts.

• ETL: Experience with ETL processes and tools, including building and maintaining data pipelines.

• Data Orchestration: Familiarity with data orchestration tools like Dagster, Airflow etc.

• Additional Skills:

  • SQL

  • Docker (a plus)

  • Apache Spark (a plus)

Your colleagues say you:

• Work in English with ease (it's our company language);

• Have a solution-focused mindset;

• Love to learn and think in a structured way;

• Are a person they would also enjoy having a coffee with (virtual or not).