Lead Data Engineer

7+ years in data engineering At least 2+ years in a lead or equivalent role Proven track record of designing and scaling data platforms in a high-growth or start-up environment Strong expertise in Python and SQL Deep experience in orchestration frameworks (Dagster, Airflow, Prefect) Advanced knowledge of data modelling and architecture (Kimball dimensional modelling, Data Vault etc) Hands-on experience with dbt, modern data warehouses, and AWS Demonstrated ability to mentor and develop engineers

Own the technical strategy for data engineering, ensuring the stack scales with the business. Design, maintain, and evolve robust data pipelines and architecture. Oversee the implementation of data models and frameworks for analytics and business intelligence. Drive engineering best practices across testing, monitoring, version control, and automation. Lead code reviews, enforce quality standards, and manage technical debt. Manage and mentor engineers, supporting career development. Stay ahead of industry trends, introducing new tools and methods.