Data Engineering Expert

Job Description

Job Title Data Engineering Expert Job Description Job title: Data Engineering Expert Your Role As a Data Engineer Expert, you will be instrumental in designing, developing and maintaining robust data pipelines and systems to support patient safety and quality activities. You will work primarily with product and post market surveillance data, utilizing Azure and Databricks to ensure that we can monitor the performance of devices while meeting regulatory requirements. Your Role Design, Build, and Maintain Data Pipelines: Develop and maintain scalable, reliable, and efficient ETL (Extract, Transform, Load) pipelines using Azure tools and Databricks to handle large datasets from medical devices in the field. Data Integration: Integrate data from various sources (e.g., medical devices, regulatory systems, clinical databases) into centralized data lakes or data warehouses using Azure Data Factory, Databricks, and other relevant tools. Collaborate and work with Cross-Functional Teams: Work closely with clinical, regulatory, and quality assurance teams to ensure that data collected meets regulatory requirements (e.g., FDA, ISO 13485, MDR) and supports post-market surveillance activities. Data Security and Compliance: Ensure all data systems comply with industry regulations and data privacy standards. Continuous Improvement: Stay up-to-date with the latest advancements in data engineering, cloud technologies (specifically Azure), and medical device industry trends, and proactively suggest improvements to existing systems. You're The Right Fit If You Have A Master?s degree in Computer Science, Data Science, or a related field. A Minimum of 4-5 years of experience as a Data Engineer or in a related role, with a focus on data integration, ETL processes, and database management. Strong proficiency in Python and SQL, with hands-on experience in writing complex SQL queries and Python scripts for data processing.- MANDATORY Experience with Azure cloud services, including Azure Data Factory, Azure SQL Database, Azure Data lake and Databricks. How We Work At Philips Our newly-adopted hybrid work concept fuses flexibility with collaboration to deliver great outcomes for our people and our customers. We are embracing an approach wherein we spend more time together than apart ? which for full-time employees translates to an average of at least 3 days working from the office and up to 2 days from home ? for our hybrid roles. Hybrid work flexibility means people can meet the changing demands of work and home in the most balanced, productive, and healthy way. Our Hybrid Working Model Is Defined In 3 Ways We believe in the importance of impactful collaboration: There's a certain energy when everyone?s in the same room that can heighten idea generation and creative friction needed for problem-solving. We embrace flexibility: Choosing where, when and how to work can vary according to task and team schedules. Flexibility isn?t office or online, it means choosing the space that works best for you, your teams and our customers on a case-by-case basis. We want to be at our best: The way we work and our workspaces are designed to support our well-being, offer career advancement opportunities, and enable us to be at our best. Why should you join Philips? Working at Philips is more than a job. It?s a calling to create a healthier society through meaningful work, focused on innovative, customer-first health technology solutions. Help us improve the health and well-being of billions of people, every year. Ultimately creating a career that no one could have planned for. Even you.