drjobs Senior Data Engineer / Scientist (m/f/d)

Senior Data Engineer / Scientist (m/f/d)

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1 Vacancy
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Job Location drjobs

München - Germany

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Introduction:
We are looking for a strategic and impact-driven Senior Data Engineer to join our growing data organization at Peter Park. In this role you will be instrumental in designing and building robust scalable data infrastructure that powers our analytics data science and product development efforts.

You will work closely with our CTO and Head of Product (Ph.D. in Data Science) as well as stakeholders from engineering analytics sales and CRM to ensure data is accessible reliable and actionable across the company. Your work will enable data-driven decision-making and innovation by developing and maintaining high-quality data pipelines real-time processing systems and data platform architecture that support our business growth and product roadmap. If you are ready to shape the future of Peter Park through Data come be a part of our team!
Our Objectives and your Role:
  • You build and maintain scalable ETL/ELT pipelines that support analytics BI and machine learning across the company.
  • You develop and manage a clean data layer that powers BI tools and enables and streamlines self-service reporting.
  • You analyze large datasets to uncover trends and anomalies developing hypotheses to drive revenue growth and identify new opportunities.
  • You work with data scientists analysts and business teams to ensure the right data is modelled and accessible.
  • You architect and optimise our data infrastructure (e.g. data warehouse orchestration tools) to support both real-time and batch processing at scale.
  • You ensure data quality lineage and access control through monitoring and governance practices.
  • You stay current with data engineering advancements incorporating cutting-edge techniques into analytics and products.
  • You collaborate across teams lead in data engineering best practices and mentor team members for continuous improvement.
Your Expertise Skills & Mindset:
  • You show real seniority in data engineering with real-world data. This seniority is not defined by years of experience but by striving for continuous improvement direct impact on the business and ownership.
  • You have a degree in a relevant field such as computer science statistics mathematics physics engineering or a related quantitative discipline.
  • You strive for a deep understanding of data and underlying processes. You have strong problem-solving skills and a keen analytical mindset.
  • You have proven experience in designing and building scalable data pipelines data models and platform components to support analytics and reporting.
  • You are highly skilled in Python and SQL have a strong grasp of data engineering libraries and frameworks (e.g. PySpark SQLAlchemy) and understand how to optimize data systems for reliability performance and usability.
  • You have hands-on experience with cloud platforms modern data warehouses and NoSQL databases. Experience with Amazon Redshift is a plus.
  • You are familiar with orchestration and transformation tools (e.g. Airflow dbt) and are comfortable working with BI platforms like Tableau.
  • You work effectively in a collaborative cross-functional team environment.
  • You have excellent written and spoken English skills (level C1).
Work Setup:
  • 40 hours per week (trust-based)
  • Home Office Policy: 3 days in the office / 2 days remote
  • Unlimited (permanent) employment contract
  • MacBook Pro and curved monitor in the office
  • Partner with our CTO & Head of Product (Ph.D. Data Science) for maximum revenue impact
  • Location: Munich
What We Offer:
  • Startup atmosphere with flat hierarchies and agile team structures
  • Flexible working hours and the option to work from home or our state-of-the-art office in Munich equipped with standing desks
  • Competitive salary
  • Company pension plan
  • Daily meal allowance free team lunch once a week cereal bar and free drinks
  • Job bike and access to sports and fitness facilities through EGYM Wellpass or Urban Sports Club membership across Germany
  • Professional development opportunities
  • German language course
  • Discounts on various branded products through our partner Corporate Benefits
Our Recruiting Process:
1. Initial contact within 48h
2. Interview with you and a member of our team
3. Live Assessment
4. Interview with our Head of Product
5. In person meeting in Munich


Are you interested and would you like to become part of our team Please send us your application with all relevant documents to
About us
Peter Park revolutionizes parking lots by digitizing them. Our mission is to replace physical barriers with cutting-edge computer vision technology paper-based receipts with interactive touch screen terminals and traditional payment methods with smartphone integration and cloud microservices. We aim to integrate every parking lot into the digital mobility ecosystem offering a range of secondary services to optimize parking capacity utilization.
As of now Peter Park operates over 500 edge devices across Europe facilitating thousands of parking and payment transactions per hour. Our physical infrastructure relies on distributed Python and NestJS-based backend services hosted on AWS.

Required Experience:

Senior IC

Employment Type

Full-Time

Company Industry

About Company

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