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(Senior) Data Engineer (m/f)

Munich, Germany

Job Type

Flex Time - Project Based

About the Role

We are looking for experienced data engineers to complement our growing Munich team.

The ideal candidate will have relevant experience in building end-to-end ML pipelines, maintaining our data backbone and co-shape the data acquisition strategy to power our growing portfolio of financial applications.

Successful candidates will be highly motivated to work in a dynamic environment that requires self-management of tasks and duties and a high degree of entrepreneurial drive.

The work location is hybrid with on-site options and the ability to work remotely as needed.

Currently, we can only accept applications from the EU economic area and candidates must possess all required documentation and permits to work within the EU.

Applicants undergo five rounds of interviews with the founding team to assess problem-solving skills, technical expertise, motivation for the role, and allow for all open questions to be answered.

Please submit your application via e-mail, containing your CV, Letter of Motivation, relevant transcripts and employer reference


We are looking for the below characteristics in applicants seeking to work as data engineers:

  • University degree in computer science, software or computer engineering, applied math, physics, statistics, or a related field

  • Strong knowledge in building data and ML pipelines

  • Good working knowledge with AWS, Google Cloud or Azure

  • Familiarity with big data techniques, Spark, Hadoop etc.

  • Creative outside the box thinking to solve complex problems

  • Great communicator and team player

  • Fluent in English (written and spoken), German is a plus but not required

About the Company

Deep Alpha Research is a quantitative investment research firm focusing on alpha factor research, trade strategy creation and portfolio optimization for both retail and institutional clients.

Our team shares a passion for investing, with the right mix of curiosity and creativity to solve some of the most complex challenges in finance.

We are a young, dynamic company that aims to challenge the status-quo of the industry and combines deep-rooted expertise in technology, machine learning, data acquisition and curation with trading.

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