Senior Data Engineer

B. Braun Group

Nowy Tomyśl

On-site

PLN 223,000 - 257,000

Full time

45 hours ago
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Benefits offered by this job

Social benefits
Multisport card
Private medical care
Group life insurance
Training and conferences
Professional development
Language courses

Job summary

B. Braun Group in Nowy Tomyśl, Poland, seeks a Senior Data Engineer to build and optimize data pipelines for the Sustainability Data Foundation, integrating SAP and sustainability systems with Azure, Databricks, and Data Factory.

You will design scalable data models, ensure data quality and traceability, and collaborate with analysts and stakeholders to deliver reliable enterprise data solutions.

Qualifications

  • Extensive experience with Azure Data Platform technologies (Databricks, Data Factory).
  • Experience with Microsoft Fabric Data Engineering.
  • Efficient SQL and Python skills for data processing, transformation, and automation.

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 (FI-CO, BW), Net Zero Cloud, SuccessFactors, EHS and related sources.
  • Ensure data quality, consistency and traceability for reporting and analytics.
  • Develop and maintain automated testing, monitoring and data quality controls.
  • Develop transformations and orchestration pipelines using Azure technologies.
  • Support deployment, testing, root cause analysis and incident resolution.
  • Collaborate with Data Analysts, Business Analysts, Product Owners and Sustainability stakeholders.
  • Contribute to documentation, development standards and continuous improvement.

Skills

Azure Databricks
Data Factory
SQL
Python
CI/CD
Azure DevOps
ETL/ELT

Tools

Microsoft Fabric Data Engineering
SAP integrations

Job description

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 range: 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.

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