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A leading health technology firm in Poland is seeking a Data Engineering Expert to design and maintain data pipelines and ensure regulatory compliance in the medical devices area. The ideal candidate should have a Master's degree in a related field and at least 3 years of experience in data engineering, particularly with Azure tools. This role offers a hybrid working model and various benefits including private medical care and professional development opportunities.
Job Title: Data Engineering Expert
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 in the medical devices area. 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.
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.
A Master’s degree in Computer Science, Data Science, or a related field.
A Minimum of 3 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 SQL, with hands-on experience in writing complex SQL queries
Python scripts for data processing.
Experience with Azure cloud services, including Azure Data Factory, Azure SQL Database, Azure Data Lake and Databricks.
Exposure to Palantir is a nice to have.
Hybrid model of working
Annual bonus based on performance achieved
Private medical care with the option to extend it to family members
Benefit System cards
Discount for Philips’ products
Wide variety of trainings & learning opportunities
Promotion of a healthy lifestyle in the office
Employee Assistance Program
We are a health technology company. We built our entire company around the belief that every human matters, and we won’t stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
Learn more about our business. Discover our rich and exciting history. Learn more about our purpose. If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.