Teamlead Data Engineering (m/w/d)

PAYBACK; München; Hybrid; EUR 95.000 - 150.000; Vollzeit

Benefits dieser Stelle

30 days vacation

Hybrid work policy (2 days home office

Sabbatical

Free meals and beverages

In-house gym

Health weeks, massages, physiotherapy

Team events & Social Days

Open, inclusive culture

Development opportunities

Germany ticket (Deutschlandticket)

JobRad bike leasing

Zusammenfassung

PAYBACK, Germany’s leading loyalty program, is seeking a Data Engineering lead to steer a team building data-driven products across markets. You will shape the evolution of our data platform and drive the transformation of on-premise solutions to modern cloud-based architectures on Google Cloud Platform (GCP).

You will design, build, and operate scalable data pipelines, lead the team, and collaborate with Data Scientists and Analysts to deliver measurable business impact.

Qualifikationen

• Several years of experience as a Data Engineer or in a similar data-driven role with prior leadership experience.

Aufgaben

• Design, build, and operate scalable data pipelines and ETL processes on Google Cloud Platform (GCP).
• Lead and develop the Data Engineering team, providing disciplinary and functional leadership while supporting growth.
• Coordinate projects, set priorities, and ensure successful delivery of team objectives.
• Optimize data processing workflows for performance, scalability, and efficiency.
• Collaborate with Data Scientists, Analysts, and stakeholders to translate business requirements into technical solutions.
• Own data quality standards and establish best practices for sustainable and reliable data products.
• Define and implement data governance policies to protect sensitive data.
• Drive migration of existing on-premise data products to the cloud.

Jobbeschreibung

Contract type: Permanent, full-time (40 hours/week), starting as soon as possible

What this role is about

In this role, you will lead a Data Engineering team responsible for building data-driven products and platforms across multiple markets. You will combine technical excellence with people leadership, ensuring that data is delivered reliably, efficiently, and at scale to support business, analytics, and data science use cases.

You will play a key role in shaping the evolution of our data platform and driving the transformation of on-premise solutions into modern cloud-based architectures on Google Cloud Platform (GCP).

Your responsibilities

• Design, build, and operate scalable data pipelines and ETL processes on Google Cloud Platform (GCP)
• Lead and develop the Data Engineering team, providing both disciplinary and functional leadership while supporting the growth of individual team members
• Coordinate projects, set priorities, and ensure the successful delivery of team objectives
• Optimize data processing workflows for performance, scalability, and efficiency
• Collaborate closely with Data Scientists, Analysts, and other stakeholders to translate business requirements into technical solutions
• Own data quality standards and establish best practices for sustainable and reliable data products
• Define and implement data governance policies and procedures to protect sensitive data
• Drive the migration of existing on-premise data products to the cloud

This role is a great fit for you if...

• you have several years of experience as a Data Engineer or in a similar data-driven role, with prior leadership experience
• you enjoy combining technical challenges with people leadership and team development
• you bring strong expertise in Python, SQL, and modern cloud platforms, ideally GCP
• you can explain complex technical concepts clearly and effectively align diverse stakeholders
• you have a structured, analytical mindset and enjoy solving complex problems pragmatically
• you thrive in cross-functional environments and enjoy building data products with measurable business impact
• you are passionate about quality and want to take ownership of stable, scalable, and future-proof data solutions
• you are driven by data-powered innovation and motivated to deliver sustainable, high-impact outcomes
• Python, Oracle PL/SQL, Airflow, Git

Conditions & benefits

• Flexibility: 30 days of vacation plus the option to purchase additional vacation days, hybrid working policy (2 days home office/week) and the possibility of taking a sabbatical
• Food & drinks: Mostly free, healthy, and varied meals, fresh fruit and popcorn every day, plus coffee and tea included
• Health & fitness: Free use of our in-house gym, health weeks, massages, and physiotherapy treatments on site
• Culture: Team events, Social Days, an open “come as you are” culture, dogs are welcome,strong engagement in female leadership
• Development: Individual training and development opportunities within the team and across the organization
• Mobility: Coverage of the Deutschlandticket, central location with a subway station right outside the door, and JobRad bike leasing

Why PAYBACK?

PAYBACK is Germany’s leading loyalty program and one of the largest data-driven marketing platforms worldwide. Our solutions reach millions of people every day.

With more than 1,000 employees at our Munich location, we develop all technical solutions in-house and combine data, technology, and marketing to create measurable value. You can look forward to interdisciplinary teams, real opportunities to shape the future, and an open, innovation-driven culture.

The PAYBACK GROUP values diversity – come as you are.