Senior Data Engineer

B. Braun Melsungen AG; Nowy Tomyśl, Poznań; On-site; PLN 223,000 - 257,000; Full time

Benefits offered by this job

Private medical care

Multisport card

Group life insurance

Training & conferences

Language courses

Team events

Job summary

B. Braun Melsungen AG in Poland invites a Senior Data Engineer to develop, maintain and optimize data pipelines for the Sustainability Data Foundation. You will design scalable models, integrate SAP and sustainability data, and ensure data quality with Azure, Databricks, SQL and Python.

Hybrid work model with collaboration across Data Analysts, Product Owners and Sustainability stakeholders. You will apply CI/CD practices and contribute to documentation, testing and continuous improvement while

Qualifications

• Experience building and maintaining scalable data pipelines.
• Strong knowledge of Azure Data Platform and Databricks.
• Proficiency in SQL and Python for data processing.
• Understanding of data modelling and data quality controls.

Responsibilities

• Develop, maintain and optimize data pipelines within the Sustainability Data Foundation.
• Design scalable data models (Bronze/Silver/Gold).
• Integrate data from SAP, Net Zero Cloud and other sources.
• Ensure data quality and traceability for reporting and analytics.

Skills

Data pipelines

Azure

Databricks

SQL

Python

CI/CD

Agile/Scrum

English

Tools

SAP

Net Zero Cloud

SuccessFactors

EHS

Job description

You’re an important part of our future. Hopefully, we're also a part of your future! At B. Braun, we protect and improve the health of people worldwide. You support this vision, bringing expertise and sharing innovation, efficiency and sustainability as values. That’s why we would like to keep developing our company with you. Keeping your future in mind, we’re making a joint contribution to health care worldwide, with trust, transparency and appreciation. That's Sharing Expertise.

Functional Area: Information Technology

Working Model: Hybrid

Requisition ID: 13911

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
• 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
• 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:[e-mail] .