(Senior) Data Engineer (f/m/d)

Braun + Partner

Freiburg im Breisgau

Hybrid

EUR 70,000 - 110,000

Full time

7 days ago
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Benefits offered by this job

Hybrid work model
Modern office
Public transportation subsidy

Job summary

At B. Braun, your work truly counts. You will design and build scalable data platforms and pipelines that transform complex device and sensor data into valuable insights, supporting analytics, AI, and product development.

You will ensure data quality, security, and accessibility to accelerate healthcare solutions and improve patient outcomes. Join a team driving innovations in healthTech with a hybrid working model between office and home in Germany, and a brand-new modern office designed for

Qualifications

  • Several years of experience in data engineering, data modeling, and data pipeline development.
  • Experience integrating data from medical devices, automotive systems, or consumer applications.
  • Strong expertise with cloud data platforms such as Azure or AWS and technologies such as Databricks, Apache Spark, and Azure Data Factory.
  • Advanced programming skills in Python and experience with data integration technologies such as ROS 2 or DDS.
  • Knowledge of data architectures supporting analytics, machine learning, and AI applications.
  • Experience in regulated industries such as medical technology, aerospace, or automotive; knowledge of DICOM and FHIR is a plus.
  • Hands-on, solution-oriented mindset with strong communication skills and fluency in English; German is an additional advantage.
  • Flexible and family-oriented working hours and hybrid working between office and home.
  • A brand-new modern office optimized for concentration and collaboration with an integrated high-tech simulation operating room and generous social areas and creativity zones.
  • High quality of life in one of Germany’s most attractive cities.
  • Subsidy for public transportation

Responsibilities

  • Design and build scalable data models for analytical and operational use cases.
  • Develop robust ETL/ELT pipelines for batch and real-time data processing.
  • Integrate and process data from medical devices, sensors, images, videos, and other data sources.
  • Translate analytics, reporting, and machine learning requirements into sustainable data solutions.
  • Implement data quality, validation, and monitoring frameworks to ensure reliable datasets.
  • Collaborate with cross-functional teams to define data collection requirements and identify new data-driven opportunities.
  • Ensure compliance with data privacy requirements and align solutions with the corporate data strategy.

Skills

Data engineering
Data modeling
Data pipelines
Python
Communication skills
English fluent

Tools

Azure
AWS
Databricks
Apache Spark
Azure Data Factory
ROS 2
DDS
DICOM

Job description

At B. Braun, your work truly counts. Alongside more than 60,000 colleagues around the world you will drive advancements in health care. Join a leading medical technology company where you share expertise, push for progress and grow in an environment marked by trust, accountability and diverse perspectives.

We drive advancements in health care. Drive advancements with us.

Functional Area: Research and Development

Working Model: Hybrid

Requisition ID: 14785

Your Impact in This Role

As a Data Engineer, you will play a key role in enabling data-driven innovation for next‑generation medical products. You will design and build scalable data platforms and pipelines that transform complex device and sensor data into valuable insights, supporting analytics, artificial intelligence, operational excellence, and product development. By ensuring high-quality, secure, and accessible data, you will help accelerate the development of innovative healthcare solutions that improve patient outcomes and clinical workflows.

Your Key Responsibilities
  • Design and maintain scalable data models for analytical and operational use cases
  • Develop robust ETL/ELT pipelines for batch and real‑time data processing
  • Integrate and process data from medical devices, sensors, images, videos, and other data sources
  • Translate analytics, reporting, and machine learning requirements into sustainable data solutions
  • Implement data quality, validation, and monitoring frameworks to ensure reliable datasets
  • Collaborate with cross‑functional teams to define data collection requirements and identify new data‑driven opportunities
  • Ensure compliance with data privacy requirements and align solutions with the corporate data strategy.
Your Qualifications and Skills
  • Several years of experience in data engineering, data modeling, and data pipeline development
  • Experience integrating data from complex systems such as medical devices, automotive systems, or consumer applications
  • Strong expertise with cloud data platforms such as Azure or AWS and technologies such as Databricks, Apache Spark, and Azure Data Factory
  • Advanced programming skills in Python and experience with data integration technologies such as ROS 2 or DDS
  • Knowledge of data architectures supporting analytics, machine learning, and AI applications.Experience in regulated industries such as medical technology, aerospace, or automotive; knowledge of DICOM and FHIR is a plus
  • Hands‑on, solution‑oriented mindset with strong communication skills and fluency in English; German is an additional advantage
  • Flexible and family‑oriented working hours and hybrid working between office and home
  • A brand‑new modern office optimized for concentration and collaboration with an integrated high‑tech simulation operating room and generous social areas and creativity zones
  • High quality of life in one of Germany’s most attractive cities
  • Subsidy for public transportation

At B. Braun, "Sharing Expertise" means achieving success together. We believe that diversity is one of our greatest strengths. Therefore, we foster an inclusive work environment where all employees feel respected, valued, and empowered to make a meaningful and sustainable contribution. We welcome applications from people of all identities, backgrounds, and perspectives.

Join us and let’s drive advancements in health care!
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