5 HRS GmbH Jobs

Role & responsibilities

• You own our "data lake", a state-of-the-art data platform acting as the single-source of truth company-wide
• You own the product vision, strategy, and roadmap of our data platform.
• You work in close coordination with various stakeholders across all the company, understanding their requirements and forming an understanding of potential solutions
• By combining a strong understanding of data engineering and of various aspects of the business value chain, you collaborate with both parties to drive the team with a clear purpose and in the right direction.
• You own the backlog for the data platform and give clear indications for prioritization
• You create user stories for the team, and you steer the backlog refinement sessions
• You keep up to date with what latest technology developments and you can also make suggestions to the team on what can be done to improve the technical offering
• You think about agile beyond the frameworks, how you can help create a truly agile environment and how to have engineering and analytics teams fully empowered and autonomous in their jobs.
• You have worked in technical organizations and can make a case for buy versus build when necessary.
• You can help maintain and publish our documentation, write meaningful changelogs, blogposts, and keep our roadmap up to date

Preferred candidate profile

• University degree in Computer Science, Mathematics, Physics, or a related area
• A strong data engineering background with at least 3 years working as a Software Engineer, Data Engineer and/or Architect
• A deep interest in Product Management, ideally with at least 1 year experience working as a Technical Product Manager and/or Product Owner
• Excellent communication skills, with the ability to understand stakeholder requirements clearly and translate this to the tech counterparts with ease
• A great team player, a techy at heart with a passion for data, business travel and working with different people from different departments
• Business/Native fluency in English
• Knowledge of SQL, Python
• Ideally, experience working with AWS Services and big data frameworks/tools such as Apache Spark, Presto, dbt, etc.
• A solid understanding of how to build a modern and scalable big data system