About Stolt-Nielsen:
Stolt-Nielsen is a family-founded global leader in bulk-liquid and chemical logistics, transportation, and storage, known for its commitment to safety, service excellence, and innovation. At the Stolt-Nielsen Digital Innovation Centre, we bring this legacy into the future — building smarter systems, driving digital transformation, and shaping what's next for the world of logistics. Here, you’re encouraged to think boldly, challenge convention, and help move today’s products toward tomorrow’s possibilities.

About the company:
We are a trusted, family-founded company and global pioneers with a worldwide reputation for excellence in bulk-liquid and chemical logistics, transportation, and storage. Our passion for innovation drives us to lead the industry forward. Across our logistics, shipping, and seafood businesses, we deliver world-class reliability, flexibility, and expertise – ensuring that complex operations run seamlessly.

About the Role:
We’re looking for a Senior Data Engineer with strong Databricks, Python,



and SQL skills to build and optimize the data infrastructure that powers our analytics and AI initiatives.
In this role, you’ll design and maintain reliable data pipelines, ensure data quality and performance, and enable data-driven decision-making across the organization. We believe that Data Engineers become only more relevant in the age of Generative AI, as we are transitioning to using solutions like Databricks Genie that rely on well-modelled and described data.
You’ll work closely with analysts, data scientists, and business stakeholders to turn raw data into trusted, accessible, and actionable insights.
At Stolt-Nielsen, we take Digital seriously. We invest in our teams through training and mentoring and enable them with the required tools to work in a up-to-date way (Engineering laptops, Cursor licenses). As we are further building up our engineering practice, there is ample room for you to contribute, take initiative and shape th

📌 Senior Data Engineer (Hyderabad)
🏢 Stolt-Nielsen
📍 Hyderabad