Data Engineering Expert
Data Engineering Expert
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Job Description
Job Title
Data Engineering ExpertJob 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.
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.
Youre the Right Fit If You Have:
A Masters degree in Computer Science Data Science or a related field.
A Minimum of 6-7 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: Theres a certain energy when everyones 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 isnt 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. Its 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.
#LI-PHILIN
Employment Type
Full-Time
