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Senior/Lead Data Analytics Engineer (Erlangen, DE)

Senior/Lead Data Analytics Engineer (Erlangen, DE)

We are looking for a motivated (Senior/Lead) Data Analytics Engineer (m/f/d) to help continue sunhill’s success story.

Our company, sunhill technologies, stands for Germany’s leading parking app PayByPhone. Right from the start, we have been developing solutions for digital, mobile payment using the latest technologies. We have been part of Volkswagen Financial Services AG since 2015. We succeeded in combining both the agility and spirit of a start-up with the reach and strength of one of the world’s largest automotive groups. Our employees thus benefit from a variety of positive Group aspects coupled with the charm of a young, dynamic, and international company. To continue this success, we rely on committed talents who dare to take on new paths.

Become part of the sunhill family and develop, distribute, and implement innovative mobile payment solutions for a global market!

Your Responsibilities

  • Construct scalable data models, while you build, maintain and test data pipelines to take data from various data stores through to our data warehouse solution
  • Provide the future design and architecture of our data pipelines to ensure that it can grow and scale elastically
  • Guide other members of the data team to build their expertise, through mentorship, training sessions, code review, etc.
  • Lead the design, implementation, and continued support of a new platform for providing both business and technical stakeholders secure, ad-hoc access to large datasets.
  • Work cross-functionally with other teams (e.g., product managers, engineers, business teams) to support business analytics requirements as well as the data related needs of product and feature launches.

Your Skills

  • 5+ years experience in a data-related/technical field. i.e. software engineering, data engineering, data warehousing, business intelligence, and/or data science.
  • Expert experience with implementing ETL processes, creating data pipelines ideally using Google Cloud Plattform
  • Proven knowledge of relational databases and querying using SQL.
  • Bachelor’s degree or higher in Computer Science, Computer Engineering, Data Science or other technical field is preferred.
  • Proven experience in providing guidance and mentorship to other members of a data / BI team
  • Experience using visualization tools to create dashboards e.g. Tableau

What We Offer You

  • Strong company vision to build the global leader in digital parking
  • Office in an attractive location providing fruit & coffee
  • Strong team spirit and regular team-building events
  • Modern work equipment
  • Trust-based working time (full-time: 40 hours)
  • Competitive salary and additional performance-based rewards
  • Support for further education, training, and professional development
  • Home Office Option from time to time
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