Senior Data Engineer (m/f/d)

Peter Park System GmbH; München; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A technology-driven company in Munich seeks a Senior Data Engineer to design and build robust data infrastructure. The ideal candidate will work with the CTO and Heads of Product, developing scalable ETL pipelines and ensuring data accessibility for analytics and product development. A degree in a relevant field and strong Python and SQL skills are required. The role offers a dynamic startup environment, competitive salary, and flexible working conditions including remote options.

Leistungen

Flexible working hours

Daily meal allowance

Competitive salary

Health and wellness programs

Professional development opportunities

Qualifikationen

• Real-world data engineering experience with impact on business.
• Strong analytical mindset with problem-solving skills.
• Hands-on experience with cloud platforms and modern data warehouses.

Aufgaben

• Build and maintain scalable ETL/ELT pipelines.
• Develop and manage a clean data layer for BI tools.
• Collaborate with data scientists and analysts for data accessibility.

Kenntnisse

Data engineering

Python

SQL

Problem-solving

Collaboration

Data analysis

ETL/ELT pipelines

Ausbildung

Degree in computer science, statistics, mathematics, physics, or engineering

Tools

PySpark

SQLAlchemy

Airflow

Tableau

Amazon Redshift

Jobbeschreibung

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 optimise 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:

• Your Ideal Setup: MacBook (M4 Pro, 48GB Ram) and a 37‑inch curved screen.
• Dynamic Culture: Enjoy a true startup atmosphere with flat hierarchies, agile teams, and a diverse, international group of colleagues.
• Flexibility: Benefit from flexible working hours and the option to work from home or our state‑of‑the‑art Munich office with standing desks.
• Competitive Compensation: A strong competitive salary that recognizes your expertise.
• Future Planning: A solid company pension plan.
• Foodie Perks: Daily meal allowance, weekly free team lunch, a well‑stocked cereal bar, and complimentary drinks.
• Health & Wellness: Job bike program and access to premium sports and fitness facilities via EGYM Wellpass or Urban Sports Club membership across Germany.
• Continuous Growth: Ample professional development opportunities to sharpen your skills.
• Language Support: German language learning opportunities.
• Exclusive Discounts: Enjoy special discounts on various branded products through 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

Interested in joining our team? Apply now and be part of something great!