Senior Data Engineer

Microsoft’s Health and Life Sciences team is dedicated to empowering healthcare organizations to achieve
their goals and improve patient care. We aim to create an efficient and connected healthcare systems by
bringing the healthcare ecosystem together which empowers everyone across the healthcare journey to
collaborate, communicate, and innovate together to provide better experiences for their workforces and
patients or members alike.

As a Senior Data Engineer, you will learn a lot about how our ambient speech healthcare AI product works. You will join our dedicated Data Engineering team to securely deliver, curate and manage high quality data that enables Healthcare research projects, whilst also meeting high standards for security and data governance.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our ideas are better, our products are better, and our customers are better served.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Minimum Requirements

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND multi-year experience in business analytics, data science, software development,
  data modeling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or
  related field AND multi-year experience in business analytics, data science, software development,or data engineering work OR equivalent experience.
• Multi-year technical engineering experience with coding in languages including, but not limited to Python
• Multi-year technical experience developing big data management solutions as a data engineer

Preferred/Additional Qualifications (Optional, at HM discretion)

• Multi-year technical experience working with relational databases and query languages
• Previous experience managing software DevOps (especially ADO pipelines) 
• Experience with Azure ecosystem including cross tenants and highly restricted environments, as well as developing scalable processing using Spark in Python especially in Azure will be considered strong assets
• Experience complying with data governance and compliance standards such as GDPR or HIPAA within restricted environments
• Experience developing and deploying dashboards (especially in Power BI)
• Good communication, problem solving and collaboration skills - particularly, previous experience in working closely with ML researchers will be seen as an advantage.

Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud
Background Check:

• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two
  years thereafter.

The salary for this role is starting from 75,400 euros per annum depending on experience.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Responsibilities include:

• Develop, deploy and monitor scalable data pipelines that ingest and process data from
multi-tenant production environments to research environments using Python/Spark .
• Develop, deploy and monitor data enrichment workflows including dataset creation,
cataloging and reporting.
• Develop and deploy tooling that ensures compliance with data governance and life cycle
management requirements and best practices.
• Detect, monitor, and resolve data quality issues in collaboration with other teams.
• Implement tools and data architecture improvements that increase data usability and quality.