Lead the design, delivery and evolution of scalable, secure, and high-performing data platforms
Shape how data is integrated, governed and activated across the business
Enable analytics, AI and commercial decision-making at scale
Collaborate with BI, Analytics, Product and AI teams to deliver reliable data products
Drive data platform observability, monitoring, lineage and SLA reporting
Support secure data sharing, governance, and compliance with internal and client requirements

Strong experience in data engineering or data platform roles with hands-on expertise in SQL, Python and distributed processing frameworks (e.g. Spark)
Proven track record designing and operating modern cloud data platforms (e.g. Snowflake, Databricks)
Deep understanding of cloud environments (Azure/AWS) and associated data services
Experience implementing secure data practices including access control, encryption, and audit logging
Knowledge of CI/CD, infrastructure-as-code (e.g. Terraform), and Git-based workflows
Experience building high-quality, well-documented data products for analytics and BI use cases
Strong stakeholder communication skills, with the ability to translate technical concepts into business value
Experience mentoring or leading engineers while remaining hands-on with development

Lead Data Engineer

Key skills