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Döhler

Global supplier of natural food ingredients

Manager Data Products Engineering

Data EngineeringUpdated on Nov 14
Full-timeDarmstadt, GermanyNo salary listedHybrid

About the Job

Requirements

  • A 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 building robust data pipelines, ETL/ELT processes, and batch processing.
  • Strong Python and SQL skills.
  • Experience in data modelling and designing reusable, consumption-oriented data models.
  • Experience with Git, pull requests, code reviews, and CI/CD pipelines.
  • A solid understanding of data quality, observability, monitoring, logging, error handling, and performance optimisation.
  • Knowledge of SAP environments, particularly S/4HANA, and integrating SAP and non-SAP data sources.
  • Understanding data governance topics such as access control, metadata, lineage, data catalogues, and sensitivity classification.
  • A structured, pragmatic, and hands-on way of working, combined with strong communication skills.

Responsibilities

  • 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.

Desired Qualifications

  • Experience with streaming.
  • Experience with PySpark and/or Spark SQL.
  • Familiarity with dbt or comparable frameworks for data transformation, testing, and documentation.
  • Experience with Unity Catalog.
  • Experience coordinating external developers or service providers.

About the Company

Döhler

Global supplier of natural food ingredients

Döhler is a global supplier of natural ingredients for the food and beverage industry. Its products include natural colors, specialty ingredients, flavoring compounds, and fruit preparations that manufacturers use to color, flavor, and shape the texture of foods and drinks. Döhler’s offerings work by providing ready-to-use ingredients and formulations that integrate into food and beverage production, helping brands achieve consistent taste, appearance, and mouthfeel. The company differentiates itself through a long, private family history dating back to 1838, a steady strategy of growth via acquisitions, and a global footprint, reinforced by a 2024 strategic partnership with a major international ingredient supplier. Its goal is to be a leading global provider of natural ingredient solutions for the food and beverage industry, supporting manufacturers from formulation to finished products.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Darmstadt, Germany
Founded
1838

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