Job Description

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

Senior Data Engineer (Snowflake & Azure)

to join a leading organisation in wealth management, dedicated to putting the power of good financial advice into more hands.
In this role, you'll design, build, and optimise data pipelines and schemas in Snowflake, ensuring a seamless migration from SQL and full integration with Azure infrastructure.
You'll play a pivotal role in shaping the company's data ecosystem -- enabling faster insights, scalable analytics, and better decision-making across financial planning and investment operations.
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Responsibilities

Lead the migration of data pipelines and schemas from SQL to Snowflake, ensuring reliability, scalability, and optimal performance. Design and implement data warehouse architecture in Snowflake, including schema design, performance tuning, and SnowSQL scripting. Build and maintain ETL/ELT pipelines using orchestration tools such as DBT, Astronomer, or Airflow. Integrate and optimise data flow within Azure services, ensuring smooth operation across cloud environments. Develop and maintain Python-based automation scripts for data transformation and workflow management. Collaborate closely with analytics, product, and engineering teams to ensure data quality, accessibility, and consistency. Support ongoing improvements in data governance, documentation, and monitoring standards.
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Requirements

5+ years of experience in data engineering, with strong expertise in data warehousing and ETL/ELT development. Proven hands-on experience with Snowflake, including schema design, SnowSQL, and performance optimisation. Practical experience with Azure data services (e.g., Data Factory, Data Lake, Synapse). Proficiency with data pipeline orchestration tools such as DBT, Astronomer, or Apache Airflow. Strong Python skills for automation and data manipulation. Advanced proficiency in SQL for data modelling and query optimisation. Strong understanding of scalable and secure data architecture design.
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Nice to Have

Experience implementing CI/CD pipelines for data workflows. Familiarity with data governance, lineage tracking, and observability frameworks. Exposure to modern data stack tools such as Fivetran, dbt Cloud, or Prefect. Experience working on cloud migration or data modernisation projects.
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Benefits

Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) u007C 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.