Engineering Manager - Data Engineering (m/f/x)

Your mission

As Engineering Manager – Data Platform (m/f/x) , you will play a pivotal role in leading and growing our data platform team. Your mission will be to:

• Spearhead the team in conceiving, implementing, testing, and launching ETL pipelines, data models, and data architectures for data analysts, scientists and Databricks Power User, ensuring the delivery of high-quality solutions.
• As a key member of our Data Leadership Team (analytics, product), you will collaborate seamlessly with the analytics, product engineering and devops team. Together you collaborate to drive alignment between business priorities and technical execution.
• Lead the agile data engineering team with visionary guidance and inspiration, acting as The Leader to not only drive collaborative and efficient development but also to provide disciplinary leadership for the team. Foster a close relationship with stakeholders, shaping the team structure, overseeing individual development of engineers, and extending the team as needed.
• Cultivate a culture of continuous improvement and agile best practices within the team, promoting an atmosphere of innovation and adaptability.
• Guarantee the stability, security, and high-performance operation of our data platform for batch, streaming and analytics-workloads. Act as a technical leader, contributing to architecture design, code reviews, and occasionally implementation of critical pipelines and infrastructure.
• Proactively monitor and optimize our services and infrastructure, emphasizing scalability and cost efficiency for enhanced performance.
• Take ownership of developing solutions and communication with the development team by working closely with our talented data engineers to build new data products.
• Drive teamwork and shared expertise to achieve project milestones.

Your profile

We’re looking for a proactive, technically-strong leader with a passion for growing people and systems. The ideal candidate brings:

• A Bachelor's degree in a STEM subject, demonstrating a strong foundation in technical knowledge and problem-solving skills.
• A minimum of:
  • 3 years in a leadership role managing data and/or ML engineering teams, with a proven ability to coach and inspire.
  • 5 years of hands-on experience as a data or ML engineer, showcasing proficiency in developing and launching innovative products and features. Familiarity with MLOps practices is a plus (feature stores, experiment tracking, model monitoring, CI/CD for ML workflows)
• Experience in developing, scaling and maintaining cloud data platform, ensuring scalability and reliability while optimising costs and performance. Strong competence in data governance, lineage, access policies, and data quality assurance.
• Proficiency in languages such as SQL, Python, Spark with a passion for learning and applying new technologies.
• Excellent communication skills and a collaborative mindset, enabling effective interaction with team members, stakeholders, and clients.
• Strong methodical competence in project management, including the ability to prioritize tasks, allocate resources effectively, and drive projects to successful completion.
• Adaptable to fast-changing work environments, demonstrating resilience and flexibility in navigating dynamic challenges.

Why us?

• Work-Life Balance: 30 days of paid vacation.
• Commuter Benefits: Public transportation tickets provided.
• Professional Development: Annual education budget of €1,500.
• Workation Opportunities: Combine work and vacation annually.
• Wellness: Access to over 7,000 gyms and spas in Germany through Wellpass.
• Catering: Monthly team lunches, daily fruits, vegetables, and a variety of beverages.
• Flexibility: Flexible working hours and hybrid work model.
• Corporate Benefits: Exclusive discounts for major brands and platforms.
• Diversity: Join an international team with diverse cultural backgrounds.
• Fun and Games: Socializing area for relaxing activities during the workday. This is not a remote-only position; we offer a flexible hybrid model in Hamburg, Germany — working from home on Mondays and Fridays, and in the office on Tuesday, Wednesday and Thursday.

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