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Lead Data Engineer
4 weeks ago
We are partnering with a fast-growing SaaS company to hire a Lead Data Engineer who will help shape and scale their next-generation data and analytics platform.This role sits within a modern data function where engineering, analytics, and product work closely together. The Lead Data Engineer will guide a small team, own the full data lifecycle, and deliver trusted, high-performance data products that support customers and internal stakeholders.It’s a hands-on leadership role with strong technical influence — ideal for someone who enjoys building scalable pipelines, improving data quality, and shaping the direction of a growing platform.What You’ll Be DoingLeading a small team of data engineers and analysts to design, build, and maintain scalable data solutions.Owning the end-to-end data lifecycle — from ingestion and transformation through to analytics and data product delivery.Architecting and operating pipelines using Databricks, Spark, and Delta Lake, ensuring performance, reliability, and cost-efficiency.Working closely with BI developers and analysts to deliver dashboards, extracts, datasets, and APIs that power customer insights.Shaping platform architecture and setting technical direction for data engineering best practices.Driving improvements in data quality, lineage, governance, and observability.Playing a key role in data DevOps, CI/CD, testing, and cloud operations.Partnering with product and engineering teams to align work with the platform roadmap.Overseeing operational monitoring and support for the data platform.Promoting a learning culture in the team and encouraging experimentation with new tools and approaches.Mentoring team members and supporting their development.Skills & Experience RequiredExperience leading or mentoring data engineering teams within a SaaS or product-led environment.Deep hands-on knowledge of Databricks, Apache Spark, and Delta Lake, including large-scale or near real-time workloads.Strong proficiency in Python, SQL, and cloud data services (Azure preferred, but any major cloud is fine).Experience designing and operating end-to-end data and analytics architectures.Good understanding of BI tooling (e.g. Power BI, Tableau) and analytics modelling.Strong grasp of ETL/ELT orchestration, data quality frameworks, and observability tooling.Familiarity with governance practices including lineage, cataloguing, and data integrity standards.Awareness of data security, access controls, and compliance considerations.Experience with CI/CD, infrastructure-as-code, and cost-optimised cloud engineering.Confident communicator, comfortable working with both technical and non-technical teams.Naturally curious and motivated by delivering new insights and data products using modern tooling.Why This Role?Chance to lead and grow a talented team while remaining hands-on technically.Ownership of a modern data platform with strong influence on architecture and future direction.Opportunity to deliver customer-facing data products with real business impact.Collaborative environment with the freedom to innovate and use emerging technologies.
