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A leading healthcare company is seeking a Data Engineer to join their innovative team in Norderstedt, Germany. In this hybrid role, you'll help drive the digital transformation by building scalable data pipelines for AI/ML projects. This position requires expertise in SQL, Python, and Spark with a minimum of 2 years of relevant experience. Join us to make a significant impact in advancing healthcare solutions with cutting-edge data technology.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com
Data Analytics & Computational Sciences
Data Science
Scientific/Technology
Norderstedt, Schleswig-Holstein, Germany
Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.
Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech
This is a hybrid role available in multiple cities within Germany. While specific cities are listed in the Locations section for reference, please note that they are examples only and do not limit your application. We invite candidates from various locations to apply.
Internal Job Posting 11.12.2025-18.12.2025
We are searching for the best talent for Data Engineer (f/m/d), located in Norderstedt, Germany.
In this role, you will have the unique opportunity to drive excellence in our operations by strengthening our site digital team. You will be a key player in our ambitious team, working collaboratively to compete in the global market and achieve exceptional results. This position is perfect for someone who is passionate about data engineering, determined to implement world-class solutions, and eager to make a significant impact within a proven organization.
We are seeking data engineers with a strong focus on building data pipelines and data quality for our AI/ML projects. In this role you will be responsible for designing, building and maintaining scalable data pipelines and validation frameworks to ensure seamless and sustainable data flow. You will work closely with a team of data analysts, data scientists and stakeholders to develop robust and scalable advanced analytics projects across
Your technical expertise will play a crucial role in driving innovation within J&J. You’ll have unlimited access to continuous growth and digital learnings. We encourage you to be curious learners and accountable for your skills development. If you’re passionate about data, analytics and building high-quality AI/ML products that give an impact, we’d love to hear from you.
The pay grade for this position is E7 – E9
The anticipated base pay range for this position is 51.200 – 80.845 EUR
Johnson & Johnson is committed to equal opportunity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran status, or disability.
For more information on how we support the whole health of our employees throughout their wellness, career, and life journey, please visit www.careers.jnj.com.
At Johnson & Johnson, we want every candidate to feel supported throughout the hiring process. Our goal is to make the experience clear, fair, and respectful of your time.
Finally, at the end of the process, we’ll invite you to share feedback in a short survey — your input helps us continue improving the experience for future candidates. Thank you for considering a career with Johnson & Johnson. We’re excited to learn more about you and wish you the best of luck in the process! #RPOEMEA #LIHybrid
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.