Data Platform Lead [T500-24165]

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, youre encouraged to think boldly, challenge convention, and help move todays products toward tomorrows possibilities.

We are excited to announce an opening for a Data Platform Lead at Stolt-Nielsen Digital Innovation Centre. Please find below the details of the role and its responsibilities.

Skills Required:

Azure platform administration, Azure Databricks administration, Power BI service administration, Azure SQL Server, Azure DevOps CI/CD Pipelines, Python, SQL, Git and familiarity with Infrastructure-as-Code.

Experience Range:

8+ years

Job Description:

About the Role

We're looking for an experienced Data Platform Lead to manage, build on and continuously improve the technology stack that underpins our data and analytics capability. This is a hands-on, cross-cutting role spanning Azure infrastructure, Databricks, Power BI, Azure SQL Server and Azure DevOps ensuring our platform is reliable, secure, performant and cost-effective.

You will serve as a technical lead for the data engineering team, setting standards for how we build and operate data pipelines while also being hands-on in building them yourself. As we invest in AI and GenAI capabilities from Databricks Genie to broader AI-driven analytics the data platform becomes increasingly critical. Well-modelled, well-governed data is the foundation that makes these initiatives possible, and you will play a central role in ensuring that foundation is solid.

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 modern 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 the future of our ways of working and technology landscape.

What Youll Do:

• Administer and monitor Azure Databricks, Power BI and Azure SQL Server environments
• Design, develop and maintain data pipelines in Databricks using PySpark and Delta Lake
• Build ETL/ELT processes to ingest data from multiple sources
• Provide technical leadership to the data engineering team, setting standards for pipeline development, code quality and best practices
• Manage and troubleshoot Azure DevOps CI/CD pipelines for data platform deployments
• Implement and maintain security, governance and access control across all platform components
• Monitor platform health, cost and performance, proactively resolving issues before they impact users
• Maintain documentation of platform architecture, standards and runbooks

What Youll Bring:

• Bachelor's or master's degree in computer science, Information Systems, or a related field
• 8+ years of experience in data engineering, platform administration or data infrastructure
• Strong hands-on experience with Azure Databricks, including PySpark, Delta Lake and Unity Catalog
• Strong proficiency in Python and SQL
• Experience with Azure SQL Server and Power BI service administration
• Experience with Azure DevOps pipelines and Azure resource management
• Good understanding of data modelling, warehousing concepts and medallion architecture
• Familiarity with Infrastructure-as-Code and version control (Git)
• Proven ability to mentor and provide technical guidance to engineering teams
• Effective communication skills and ability to work across teams

Must Have Skills:

• Databricks (PySpark, Delta Lake, Unity Catalog, Workflows)
• Azure platform administration
• Azure SQL Server
• Python/ Pyspark and SQL
• Power BI service administration
• Azure DevOps CI/CD Pipelines
• Unity Catalog
• IAC
• Gen AI

Nice to have Skills:

• Experience with Azure Landing Zones and Cloud Adoption Framework
• Knowledge of data governance and cataloguing (Unity Catalog, Purview)
• Experience with Databricks cost optimization
• Team leading experience/ Mentoring
• Understanding of networking concepts relevant to cloud and hybrid data platforms
• Familiarity with Azure Policy and compliance tooling
• Experience with Infrastructure-as-Code (Bicep/ARM)
• Familiarity with AI/ML workflows and how they depend on well-structured data platforms