At Johnson & Johnson,u202fwe believe health is everything. Our strength in healthcare innovation empowers us to build au202fworld where complex diseases are prevented, treated, and cured,u202fwhere treatments are smarter and less invasive, andu202fsolutions are personal.u202fThrough 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.u202fLearn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Norderstedt, Schleswig-Holstein, Germany Job Description: About MedTech Fueled by innovation at the intersection of biology and technology, weu2019re 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 18.11.2025-05.12.2025 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 You will be responsible for: Designing, developing and maintaining high-quality data pipelines that transform data from diverse sources into sustainable data products. Implementing technical excellence of software development lifecycle by building CI/CD workflows, job makers and unit tests. Designing and building scheduled jobs in a workflow that runs notebook for ETL and ML workflows. Collaborating with other technical team members in a production development environment using formal version control, Git Maintaining industries best practice of clean code quality, testing and documentation Proficiently working in SQL, Python and Spark Working as a part of the team, mentoring teammates, sharing knowledge, best practices and learning by doing. Qualifications / Requirements: Minimum 2 years working experience as data engineer or software engineer with focus on building data pipeline workflows Bacheloru2019s or Master Degree in Computer Science, Data Engineering or related field Strong proficiency in English Intermediate proficiency in German We would also appreaciate: Experience with data versioning, metadata management and data drift detection Experience working with real time machines and IoT data Experience with developing Power BI dashboard Exposure to agile development methodologies and software development life cycle Stay UpToDate with emerging AI technologies Analytical thinking. Proven ability to analyze complex datasets to deliver meaningful insights. Why join us? Your technical expertise will play a crucial role in driving innovation within J&J. Youu2019ll have unlimited access to continuous growth and digital learnings. We encourage you to be curious learners and accountable for your skills development. If youu2019re passionate about data, analytics and building high-quality AI/ML products that give an impact, weu2019d love to hear from you. The pay grade for this position is E7 u2013 E9 The anticipated base pay range for this position is 52.200 u2013 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. Hereu2019s what you can expect: Application review: Weu2019ll carefully review your CV to see how your skills and experience align with the role. Getting to know you: If thereu2019s a good match, youu2019ll be invited to a short call with one of our recruitment team to understand more about you and answer any questions that you might have. Staying informed: We know waiting can be hard and processes can evolve; our recruitment team will keep you updated and make sure you know what to expect at each step. Final steps: For successful candidates, you will need to complete country-specific checks before starting your new role. We will help guide you through these. Finally, at the end of the process, weu2019ll invite you to share feedback in a short survey u2014 your input helps us continue improving the experience for future candidates. Thank you for considering a career with Johnson & Johnson. Weu2019re excited to learn more about you and wish you the best of luck in the process! RPOEMEA LIHybrid Required Skills: Preferred Skills: Advanced Analytics, Analytical Reasoning, Business Intelligence (BI), Business Writing, Collaborating, Communication, Data Analysis, Data Compilation, Data Privacy Standards, Data Savvy, Data Science, Data Visualization, Econometric Models, Execution Focus, Mathematical Software, Statistics, Technologically Savvy