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Senior Data Engineer

B. Braun Melsungen bbraun.com Open · verified Oct 24, 2026
Nowy Tomysl Senior Data Engineering

At a glance

Senior Data Engineering role at B. Braun Melsungen. Nowy Tomysl.

Pay not stated Data Engineer salary

RoleData Engineering
SenioritySenior
LocationNowy Tomysl
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and tune pipelines for the Sustainability Data Foundation, then keep them running reliably
  • Create data models across Bronze, Silver and Gold layers for enterprise reporting and analytics
  • Bring together SAP, sustainability systems, APIs and external feeds, transforming data for use
  • Add automated checks, monitoring and quality controls, and investigate deployment issues or incidents
  • Work with analysts, product owners and sustainability teams to turn business needs into technical designs

What you bring

  • Hands-on experience with Azure data services such as Databricks or Data Factory, plus Microsoft Fabric
  • Strong SQL and Python skills for data transformation, processing and automation
  • Experience developing enterprise data pipelines, integrating APIs and working with cloud architectures
  • Knowledge of data modeling, lineage, metadata and validation, with CI/CD and automated deployment practices

Who this fits

This senior engineering role suits someone who can shape end-to-end data solutions and support other engineers through guidance and design decisions. You’ll collaborate across technical, product and sustainability teams, and work in Agile/Scrum settings. The role is based in Nowy Tomysl, Poland.

From the employer

We are looking for a Senior Data Engineer to develop, maintain, and optimize data pipelines within the Sustainability Data Foundation. In this role, you will design scalable data models, integrate data from SAP and sustainability-related systems, and ensure high standards of data quality, consistency, and traceability. You will work with Azure technologies, Microsoft Fabric, Databricks, SQL, Python, and CI/CD practices to build reliable enterprise data solutions. The role also involves close collaboration with Data Analysts, Business Analysts, Product Owners, and Sustainability stakeholders to translate business needs into scalable technical solutions.

Duties & Responsibilities:

  • Develop, maintain and optimize data pipelines within the Sustainability Data Foundation
  • Design and implement scalable data models (Bronze, Silver, Gold layers)
  • Integrate and transform data from SAP (e.g. FI-CO, BW), Net Zero Cloud, SuccessFactors, EHS and sustainability-related source systems, APIs and external data providers
  • Ensure data quality, consistency and traceability for reporting and analytical use cases
  • Develop and maintain automated testing, monitoring and data quality controls
  • Develop transformations, calculations and orchestration pipelines using Azure technologies
  • Support deployment, testing, root cause analysis and incident resolution
  • Collaborate closely with Data Analysts, Business Analysts, Product Owners and Sustainability stakeholders
  • Contribute to documentation, development standards and continuous improvement activities

Professional Competencies:

  • Experience with Azure Data Platform technologies, e.g. Databricks, Data Factory
  • Experience with Microsoft Fabric Data Engineering
  • Efficient SQL and Python skills for data processing, transformation, and automation
  • Experience with building and maintaining enterprise data pipelines
  • Understanding of API integrations and cloud-based architecture
  • Knowledge of CI/CD and automated deployment concepts (e.g. Azure DevOps, Git, deployment pipelines, pull requests, environment promotion)

Data & Modeling Skills:

  • Experience with data modelling concepts (One Big Table, normalization and denormalization techniques, Data Vault approach, Medallion Architecture)
  • Understanding of data lineage and metadata management concepts
  • Experience implementing data quality controls and validation rules
  • Ability to design end-to-end solutions

Business & Collaboration Skills:

  • Translate business requirements into technical solutions
  • Apply knowledge of sustainability, finance, or regulatory reporting data – this is considered a plus
  • Mentor and guide other engineers by sharing best practices and supporting technical decision-making

Ways of Working:

  • Work effectively in Agile/Scrum environments
  • Review solution designs and code to ensure quality and maintainability
  • Apply a structured and solution-oriented approach to problem solving
  • Drive continuous improvement in development practices, processes, and data solutions
  • Communicate fluently in English

Benefits:

  • Additional social funds for summer holidays and Christmas
  • Co-funding of a Multisport card and private medical care
  • Opportunity to join group life insurance
  • Fundings for trainings and conferences
  • Co-funding of professional development
  • Free language lessons and access to an e-learning platform
  • Team-building and sports events

Salary ranges: 20.000 - 23.000 PLN gross monthly.

The controller of the personal data contained in your CV and provided when you create an account in our application is B. Braun Business Services Poland Sp. z o.o. in Nowy Tomysl, 14 Tysiąclecia St. We process this data on the basis of Article 22 of the Labour Code, and if you provide us with more data than required by the Labour Code, we process it on the basis of your consent. The purpose of this processing is to consider your application in the recruitment process. To find out more, such as how long we will keep your personal data, you can read the full information clause here: Klauzula Informacyjna dla Kandydatów - Kariera w Naszej Firmie - B. Braun You can contact our Data Protection Officer at any time regarding your personal data: iod_bbbspl@bbraun.com.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.