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Microsoft Corporation Data Engineering Tech Lead in Tallinn, Estonia

We are building the Intelligent Conversation and Communications Cloud (IC3). We power Microsoft’s first-party real-time conversation products, notably Skype and Teams with many millions of users, by providing reliable and high-quality audio and video calling, meetings, and chat services that work every time, from anywhere, on any device. And we expose our core capabilities to third-party partners, with which they can bring conversations to life in their own products. With IC3, we will enable customers to do more by making conversations on our platform more intelligent, surfacing useful information in real-time and taking actions on the customers’ behalf during the conversation. And, we will learn from each conversation. Every call, meeting, or chat will make the next one better.

Building and running services at scale for Microsoft 365 for hundreds of million consumer and enterprise users is very challenging, but it is a lot of fun and rewarding. We are looking for smart, passionate engineers at many levels to help us do just that to power and deliver on IC3 mission. This opportunity will allow you to make a broad positive impact across many critical IC3 domains such as chat, audio/video calling, meetings, service and data engineering, and service management.

We want you because you have an insatiable passion for technology, your constant intellectual curiosity and willingness to learn, your ability to communicate well in a team environment, your desire to make our team better with your contributions and of course your ability to deliver the right results at the right time.

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.

Responsibilities

  • Design, develop, maintain, and oversee data infrastructure, data warehouse and back-end services for ML experimentation, investigations, reporting, data collection, and related functions.

  • Ensure the quality control of data pipelines and promote the best data engineering practices.

  • Create and manage reports and dashboards to monitor KPIs, the engineering systems ecosystem, and other indicators.

  • Collaborate with the team to address business inquiries using telemetry data. Effectively communicate key insights and results to stakeholders and leadership. Utilize data storytelling and visualization techniques to recommend product decisions.

  • Partner and collaborate with different Data Engineering and Data Science teams in the Org to leverage and share reusable components and/or services, and bring consistency.

  • Embody our  Culture   and Values (https://careers.microsoft.com/us/en/culture) .  

Qualifications

Required Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

  • OR equivalent experience.

  • Experience as tech lead/architect role in data engineering or data science team.

  • Experience in developing tools and data pipelines.

  • Experience in building and optimizing "big data" workflows using modern cloud-based platforms, including ETL, business intelligence pipelines, and data visualization tools like Power BI.

Preferred Qualifications:

  • Experience with one of the major cloud-based data platforms.

  • Familiarity with relational databases and working knowledge of a variety of big data sources in Spark, Scala, and/or other big data systems.

  • Experience in designing/implementing large-scale data infrastructure to support a Data Science team.

  • Demonstrated proficiency in writing complex, highly optimized queries across diverse data sets and implementing data science applications using cloud-based tools.

  • Understands principals of data modeling.

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) .

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