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We are looking for a Lead Data Engineer to define and scale modern data practices for a cutting-edge energy platform driving real-time decision-making.
Job Responsibility
Define and enforce best practices across the data ecosystem (CI/CD, modular architecture, testing)
Lead advanced data modelling initiatives using SQL and dbt, ensuring scalable and reusable design
Design and implement robust data governance frameworks, including GDPR response ownership
Partner with Product to shape the Analytics Engineering roadmap and translate business needs into technical solutions
Promote a data-driven culture and influence standards across multiple teams
Requirements
Expert-level SQL and dbt experience (clean, testable, modular code)
Strong expertise in dimensional data modelling and complex data scenarios
Proven experience driving adoption of engineering standards across teams
Excellent stakeholder management and communication skills (technical to non-technical translation)
Deep understanding of the end-to-end data lifecycle (ingestion, transformation, consumption)
Nice to have
Experience owning long-term data modelling strategy
Hands-on implementation of data governance frameworks
Exposure to handling GDPR/data privacy incidents
Experience leading proof-of-concepts (PoCs) for new technologies
Contribution to broader data strategy and organisational data culture