Lead ETL Engineer

Our client is the leading collaborative commerce platform that connects CPG brands to real-time sales and inventory data from 40+ retailers and distributors. They serve 7,000+ brands representing over $2.5T in retail sales across 250K+ stores, working with industry leaders like Nestlé, and KraftHeinz.

This is a dynamic, evolving position reporting directly to the Engineering Manager, offering plenty of opportunity for growth as you leverage your strengths. Whether your background is in startups or large enterprises, you understand the meaningful impact possible within a smaller, agile organization — and you’re eager to help define your role and contribute to Crisp’s future.

This role is Hybrid, based in Hyderabad working primarily around UK clients, but with require flexibly with shifts as the business works out of the US, UK and India.. The ideal candidate will have a minimum of 6 years of experience as a Data Engineer.

About the position :

We are seeking an experienced Data Engineer with advanced SQL skills to join our team. This role is ideal for a self-driven Data Engineer with strong expertise in Snowflake, Azure, Power BI, Python and JavaScript ready to support large-scale, retail-focused data initiatives.

You will be responsible for designing, building, and maintaining the data infrastructure that powers our business intelligence and analytics. The ideal candidate will have a strong background in data warehousing, ETL / ELT processes, and a solid understanding of cloud-based data platforms.

What you’ll work on :

• Build and manage semantic data models in Snowflake and Power BI to support scalable, user-friendly analytics and reporting.
• Develop Snowflake stored procedures using JavaScript or other supported languages to automate workflows and handle complex data transformations.
• Design and optimize ETL pipelines in Snowflake and Azure Data Factory to streamline data integration and transformation
• Ensure data integrity and accessibility within Snowflake to support effective data warehousing operations.
• Collaborate with analytics and business teams to align data models with reporting needs and business goals.
• Support compliance with GDPR, company policies, and data governance standards.

Signs of a great candidate for the role (required experiences, skills, capabilities, background, etc.)

What Makes a Great Fit

We are committed to transparency, diversity, and meritocracy, fostering an environment where every team member is empowered to make an impact, grow personally, and advance in their career. We invite you to join us — not just to take on a role, but to help shape a company you’re proud to be part of.