About Smart Working
At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.
Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.
Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.
About the Role
We’re looking for a Fabric Engineer to play a key role in building and shaping a modern data platform powered by Microsoft Fabric.
In this role, you’ll work on high-impact initiatives that directly improve how data is used across the business, from operational reporting to advanced analytics. You’ll design scalable data pipelines, improve data quality and visibility, and help establish a more mature, DevOps-driven approach to data delivery.
You’ll collaborate closely with teams across Data, Product, Engineering, and operations, giving you strong exposure to both technical and business challenges. This is an ideal role for someone who enjoys solving real-world data problems, working with modern tools, and taking ownership in a collaborative, fast-moving environment.
Responsibilities
Design, build, and evolve data solutions using Microsoft Fabric, including pipelines, dataflows, lakehouses, and warehouses
Develop scalable and reusable data ingestion processes across multiple data sources, including APIs, databases, and third-party systems
Build and optimise data models that improve data quality, consistency, and accessibility across the organisation
Work closely with stakeholders to understand business needs and translate them into effective data solutions
Implement monitoring, validation, and alerting to ensure data reliability and trust
Deliver high-quality, analytics-ready datasets for reporting tools such as Power BI
Introduce and promote DevOps best practices, including version control, CI/CD, and structured release processes
Collaborate with engineering teams to align data solutions with wider system architecture and integrations
Troubleshoot and resolve data issues, ensuring high availability and accuracy of data assets
Contribute to best practices, documentation, and standards across the data platform
Identify opportunities to automate processes and improve efficiency through better use of data
Stay current with Microsoft Fabric and cloud data technologies, bringing new ideas and improvements
Requirements
Proven experience in a Data Engineering, Analytics Engineering, or similar role
Strong experience building and maintaining data pipelines across multiple data sources
Hands-on experience with Microsoft Fabric and/or Azure data technologies
Strong SQL skills for transforming, validating, and analysing data
Experience using Python (or similar) for automation and data processing
Experience working with Git and version control in team environments
Experience supporting reporting and business intelligence through well-structured datasets
Strong understanding of modern cloud data engineering practices
Ability to build reliable, scalable, and maintainable data pipelines
Strong problem-solving skills with a proactive and analytical mindset
Ability to work closely with stakeholders and translate business needs into technical solutions
Strong communication skills and ability to explain technical concepts clearly
Highly organised with the ability to manage multiple priorities
Collaborative mindset and ability to work across cross-functional teams
Continuous improvement mindset with a focus on efficiency and quality
Strong sense of ownership and accountability
Nice to Have
Degree in Computer Science, Data, or a related field
Microsoft, Azure, or data-related certifications
Experience with data quality frameworks, validation, and monitoring
Experience with CI/CD and DevOps practices for data platforms
Experience with Power BI or similar BI tools
Familiarity with medallion architecture or metadata-driven pipeline design
Experience with real-time or near real-time data processing
Understanding of data governance and data platform best practices
Comfortable working in fast-paced, evolving environments
Passion for learning and staying up to date with modern data technologies
Benefits
Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
No Weekend Work: Real work-life balance, not just words
Day 1 Benefits: Laptop and full medical insurance provided
Support That Matters: Mentorship, community, and forums where ideas are shared
True Belonging: A long-term career where your contributions are valued