Senior Data Engineer

B. Braun Group; Poznań; On-site; PLN 223,000 - 257,000; Full time

Benefits offered by this job

Additional social funds for holidays

Private medical care

Group life insurance

Training and conferences funding

Language lessons and e-learning access

Team-building and sports events

Job summary

B. Braun Group is seeking a Senior Data Engineer to design, build and optimize data pipelines in the Sustainability Data Foundation.

You will model data across Bronze, Silver, and Gold layers and integrate SAP, Net Zero Cloud and related systems to enable reporting and analytics. You will use Azure Data Platform tools, Databricks, Data Factory and Microsoft Fabric, writing efficient SQL and Python while applying CI/CD practices.

Qualifications

• Experience with Azure Data Platform technologies (Databricks, Data Factory).
• Strong SQL and Python skills for data processing and automation.
• Experience building and maintaining enterprise data pipelines.
• Understanding of API integrations and cloud-based architecture.
• Knowledge of CI/CD and deployment concepts (Azure DevOps).

Responsibilities

• Develop, maintain and optimize data pipelines within the Sustainability Data Foundation.
• Design scalable data models (Bronze, Silver, Gold layers).
• Integrate data from SAP and sustainability source systems and APIs.
• Ensure data quality, consistency and traceability for reporting and analytics.
• Develop tests, monitoring and data quality controls.
• Build transformations and orchestration using Azure technologies.
• Support deployment, testing, and incident resolution.
• Collaborate with Analysts, Product Owners and stakeholders.
• Contribute to standards and continuous improvement.

Skills

SQL

Python

Data pipelines

Data modeling

Data quality

Agile / Scrum

Tools

Azure Databricks

Data Factory

Microsoft Fabric

Azure DevOps

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 ranges: 20.000 - 23.000 PLN gross monthly.

Administratorem danych osobowych wskazanych w CV oraz przekazanych przy zakładaniu konta w naszej aplikacji, jest B. Braun Business Services Poland Sp. z o.o. w Nowym Tomyślu przy ul. Tysiąclecia 14. Przetwarzamy te dane na podstawie art. 22 Kodeksu Pracy, a jeśli przekazujesz nam więcej danych, niż wymaga tego Kodeks Pracy, to będziemy je przetwarzać na podstawie Twojej zgody. Celem tego przetwarzania jest rozpatrzenie Twojej kandydatury w procesie rekrutacji. Aby dowiedzieć się więcej, na przykład jak długo będziemy przechowywać dane, możesz zapoznać się z pełną klauzulą informacyjną tutaj: Klauzula Informacyjna dla Kandydatów - Kariera w Naszej Firmie - B. Braun. Zawsze możesz skontaktować się w sprawie Twoich danych osobowych z naszym Inspektorem Ochrony Danych Osobowych: [e-mail].