Data Engineer (m/w/d) at twomynds
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

24 Nov, 26

Salary

0.0

Posted On

26 Aug, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

About Us

Do you want to build robust data infrastructure and see how your work creates added value in real use cases – at companies you know from everyday life? Welcome to twomynds.

We are a dedicated data and AI consultancy and service provider offering end-to-end implementation, supporting companies from strategic goal setting to operational realization – strategically, with strong implementation capabilities, and with a results-oriented approach. Our mission: To empower ambitious companies to transform data and AI into business-critical added value – with strategic clarity, technical excellence, and entrepreneurial execution.

From data strategy and AI and use case implementation in interdisciplinary teams to scalable platforms – we support our clients along the entire value chain. We are industry-agnostic – with extensive experience in customer-centric digital business models, particularly in media and sports.

What sets us apart

  • End-to-end approach : From business strategy to ongoing operations.
  • Clear values : Perform. Grow. Communicate. Dedicate. Balance.
  • Growth & Development : Further training budget, mentoring & individual career paths.
  • Flexibility : Modern work models with remote options (1 fixed office day per week).
  • Team culture : Diverse, ambitious team with offsites, urban sports & workations.

Your role – Data Engineer

Do you want to do more than just work with data? Do you want to build the foundation on which everything else runs? In your role as a Data Engineer, you will design, build, and operate the data pipelines and platforms that supply our analyses, dashboards, and AI use cases with reliable data. You will ensure that data from diverse sources arrives cleanly, efficiently, and scalably where it's needed, working closely with data scientists, analysts, and our clients.

Responsibilities
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