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Senior Data Engineer at Microsoft

Prague, Prague, Czechia -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Modeling, Distributed Systems, Data Processing, Data Pipelines, Azure Data Factory, Synapse, Microsoft Fabric, Spark, SQL, Python, DataOps, Monitoring, Alerting, Root-Cause Analysis, Collaboration, Problem-Solving

Industry

Software Development

Description

As a Senior Data Engineer, you will design and deliver scalable, secure, and high-performance data solutions that power intelligent experiences across our ecosystem. This role sits at the intersection of software engineering and data innovation, requiring deep expertise in distributed systems, data modeling, and modern data processing frameworks. You will own the architecture and implementation of end-to-end data pipelines, ensuring reliability, observability, and compliance at scale. In this role, you will build robust data workflows leveraging technologies such as Azure Data Factory, Synapse, Microsoft Fabric, and Spark. You’ll implement advanced transformation logic using SQL, Python, SCOPE or KQL, optimize for performance and cost, and integrate CI/CD practices for automated testing and deployment across multiple cloud environments. Beyond pipeline development, you will champion DataOps best practices, establish monitoring and alerting systems, and lead root-cause analysis to drive continuous improvement in reliability and efficiency. Success in this position requires strong problem-solving skills, a passion for data-driven decision-making, and the ability to collaborate across engineering, analytics, and compliance teams. You will influence platform strategy, mentor peers, and ensure that our data architecture supports both current and future business needs. This is a high-impact opportunity to shape the foundation of our data ecosystem and enable insights at a global scale. 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 and deliver scalable, secure, and high-performance data solutions. Own the architecture and implementation of end-to-end data pipelines, ensuring reliability, observability, and compliance at scale.