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 ecosystem 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 Data Engineer, you will learn a lot about how our ambient speech healthcare AI product works both from an end user's perspective as well as from a technical perspective (especially the data architecture). You will help us improve our products aiming to reduce healthcare clinician burnout and to improve the patient experience. You will get to know many of the teams involved in developing the project, and improve your data engineering skills alongside other experienced engineers and data scientists in a very fast moving and modern hybrid work environment, where working from home most days of the week is fine.

Microsoft is a company where passionate innovators come to collaborate and envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

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.

Responsibilities

• Develop and maintain scalable data pipelines using Python/Spark/SQL

• Detect, monitor, and resolve data quality issues together with other teams

• Make it easier for consumers downstream to make best use of the available data

• Work with producers upstream to ensure we collect the data we need

Qualifications

Required/Minimum Qualifications

• Bachelor’s or master’s degree in computer science, math, software engineering, computer engineering, or related field (or equivalent experience) AND multi-year experience in business analytics, data science, software development, data modeling or data engineering work

• Strong Python development skills, OR very strong skills in another programming language with demonstratable ability to learn Python very quickly

• Experience with relational databases, query languages and data modelling

Preferred/Additional Qualifications

• Multi-year experience working as a data engineer using PySpark

• Experience with Azure ecosystem

• Experience with data governance and compliance standards such as GDPR or HIPAA

• Experience with data analysis, visualizations, and dashboards (especially in Power BI)

• Good communication, collaboration, and problem-solving skills

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 66,900 euros per annum depending on experience.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .