Manager Data Products Engineering(m/f/d)

Döhler GmbH; Darmstadt; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Work with passion

Ownership culture

Global team

Equal opportunities for all

Job summary

Döhler, a leading global producer of natural ingredients, is seeking a Manager Data Products Engineering to own and operate data products on the Döhler data platform. The role emphasizes Databricks, Azure-based data platforms, and end-to-end data product delivery.

You will collaborate with Architecture, Platform Engineering, and Data Governance teams to ensure high-quality pipelines and scalable solutions, while supporting Domain Leads in design and deployment.

Qualifications

• Degree in Computer Science, Business Informatics, Data Science, Software Engineering, or comparable qualification.
• Several years of experience in data engineering, software engineering, or working with modern data platforms.
• Strong Python and SQL skills; experience with PySpark and/or Spark SQL is a plus.
• Experience in data modelling and designing reusable, consumption-oriented data models.
• Experience with Git, pull requests, code reviews, and CI/CD pipelines.
• Knowledge of SAP environments, particularly S/4HANA, and data integration.
• Understanding of data governance topics such as access control, metadata, lineage, data catalogues, and sensitivity classification.

Responsibilities

• Own the implementation, quality, and operation of data products on the Döhler data platform.
• Develop data products based on the Shared Data Foundation.
• Ensure high engineering standards through testing, code reviews, CI/CD, monitoring, and incident analysis.
• Deliver scalable, high-performance and maintainable solutions in Databricks.
• Collaborate with Architecture, Platform Engineering, and Data Governance teams.
• Provide technical support to Domain Leads in requirements gathering and deployment.
• Own technical documentation and runbooks, and ensure stability of productive data products.

Skills

Databricks

Python

SQL

PySpark

Spark SQL

Data modeling

Data governance

Observability

CI/CD

Git

Azure cloud

ETL/ELT

Streaming (adv)

Communication

Problem solving

Education

Degree in Computer Science or related

Tools

Azure

dbt

Git

CI/CD pipelines

Job description

Manager Data Products Engineering(m/f/d)

• Full-time
• Job Function: Information Technology (IT)
• Entry Level: Professionals

Are you interested in high-quality, natural, and tasty nutrition?

We are! It's our ambition to shape the future of nutrition.

Döhler is a leading global producer of natural ingredients and solutions for the food, beverage, lifestyle and nutrition industries. We use innovative technology to process plant-based raw materials and enrich products such as lifestyle drinks, cereals, dairy, and confectionery goods for almost every well-known brand. Close to 10.000 dedicated employees in more than 70 countries share one common goal - to ensure that millions of people around the world enjoy the products created by us.

We strive to inspire and empower our employees in everything we do, and we invite you to join our team - together WE BRING IDEAS TO LIFE.

Your Role

Take responsibility for the implementation, quality, and operation of data products on the Döhler data platform

Develop data products based on the Shared Data Foundation

Ensure high engineering standards through testing, code reviews, CI/CD, monitoring, and incident analysis

Further develop standards, templates, and components for integration, transformation, orchestration, and documentation

Deliver scalable, high-performance, and maintainable solutions in Databricks

Collaborate closely with Architecture, Platform Engineering, and Data Governance teams

Provide technical support to Domain Leads in requirements gathering, estimation, solution design, and production deployment

Own technical documentation, runbooks, operational handovers, and the stability of productive data products

Your Profile

Degree in Computer Science, Business Informatics, Data Science, Software Engineering, or a comparable qualification

Several years of experience in data engineering, software engineering, or working with modern data platforms

Strong expertise in Databricks and cloud-based data platforms, ideally within the Microsoft Azure ecosystem

Experience in building robust data pipelines, ETL/ELT processes, and batch processing, with additional experience in streaming considered an advantage

Strong Python and SQL skills; experience with PySpark and/or Spark SQL is a plus

Experience in data modelling and designing reusable, consumption-oriented data models

Familiarity with dbt or comparable frameworks for data transformation, testing, and documentation is desirable

Experience with Git, pull requests, code reviews, and CI/CD pipelines

Solid understanding of data quality, observability, monitoring, logging, error handling, and performance optimisation

Knowledge of SAP environments, particularly S/4HANA, as well as the integration of SAP and non-SAP data sources

Understanding of data governance topics such as access control, metadata, lineage, data catalogues, and sensitivity classification; experience with Unity Catalog is a plus

Experience in coordinating external developers or service providers is desirable

Structured, pragmatic, and hands-on way of working, combined with strong communication skills

As an employer, we offer:

Work with passion:

We foster a culture where you can act with heart and mind, take pride in your work and inspire others through positivity and commitment.

Lead with purpose at every level:

For us, leadership is not defined by titles. It is about taking ownership, driving change and bring-ing meaning to what you do.

Grow your way:

With flexible development opportunites across departments and a global team, you can broaden your skills, discover new strenghts and actively shape your own path.

Join an international team bringing together multiple cultures, languages and perspectives to spark new ideas and inspiration.

Shared strength:

We build real connections and grow together. By sharing knowledge and valuing each other’s strengths, we create a culture where trust and team play lead to shared success.

Equal opportunities for all

We welcome applicants, who are just as diverse as we are - regardless of age, ancestry, disability, ethnic origin, gender, nationality, religion, sexual orientation, social background or any other characteristic protected by applicable laws, regulations and ordinances.

What WeOffer:

• Work withpassion:We create an environment where passion meets profession. Meaningful work and positive energy inspire people to give their best and make lasting contribution to our shared success.
• Take ownership:We empower you to take ownership and share your ideas. Whatever your role, you have the opportunity to show initiative and make an impact.
• Grow yourway:With flexibledevelopmentopportunitiesacross departments and a global team, you can broaden your skills, discover newstrengthsand actively shape your career path.
• Thrive in a global environment:Join an international team bringing together multiplecultures,languagesand perspectives to sparknew ideasand inspiration.Through global collaboration, you expand your horizon both professionally and personally.
• The team always wins:We build real connections and grow together. By sharing knowledge and valuing each other’s strengths, we create a culture where trust and team playlead to shared success.

EqualOpportunities for All

We welcome applications from people of all backgrounds regardless of age, ancestry, disability, ethnic origin, gender, gender identity or expression, nationality, religion, sexual orientation, social background or any other characteristic protected by applicable laws, regulations and ordinances.
A good match starts with shared values. Complete our Culture Fit Challenge to find out how well your mindset aligns with the way we work.