Senior Data Engineer (Azure)

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

Senior Data Engineer

This position requires a strong ability to work end-to-end - from designing pipelines to delivering clean, reliable datasets that enable analytics, BI, and decision-making.

Responsibilities

• Design, build, and maintain scalable data solutions using Azure and SQL
• Work confidently both independently and within a team, depending on the project
• Engage directly with clients and communicate technical concepts clearly
• Support roadmap planning, architecture decisions, and governance processes
• Translate business requirements into data models and pipelines
• Work across ingestion, transformation, warehousing, and optimization
• Ensure security, performance, and reliability of data systems
• Deliver measurable improvements to client data platforms
• Apply best practices in Azure cloud data engineering

Requirements

• 5+ years of experience in data engineering
• Azure - 5+ years Hands-on experience building, deploying, and operating production-grade data solutions using Azure services such as Azure Data Factory, Azure SQL, Azure Storage, Azure Synapse, or similar.
• SQL - 5+ years Deep expertise in writing complex queries, optimizing performance, handling large datasets, and working with relational data models.
• Databricks - 1+ year Practical experience using Databricks notebooks, Spark jobs, Delta Lake, or distributed data processing workflows.
• Data Lakes - 1+ year Experience designing, implementing, or maintaining lakehouse architectures, including structured and unstructured data ingestion.
• Minimum of 5 delivered data projects, including at least one where you acted as project lead (technical or delivery).
• Strong communication skills - able to work directly with business stakeholders and present technical topics clearly.
• Ability to translate business requirements into scalable data solutions.
• Comfortable working independently when needed - confident owning technical delivery end-to-end.

Nice to Have

• Python for data workflows - Experience using Python for ETL, data transformation, automation scripts, and integration with Azure data services or Databricks.
• Azure DevOps Pipelines - Familiarity with CI/CD pipelines for data engineering workflows, including deployment automation, version control, and environment management.
• Data Warehouse design experience - Understanding of dimensional modeling, star schemas, fact/dimension tables, and best practices for analytical data architecture.
• DP-203 Certification - Microsoft Certified: Azure Data Engineer Associate.
• Experience across multiple client projects or consulting environments - Ability to adapt to different industries, data maturity levels, and stakeholder expectations, bringing best practices into new contexts.

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

At Smart Working, you'll never be just another remote hire.

Be a Smart Worker: valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.

If that sounds like your kind of place, we'd love to hear your story.