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# Lead Data Engineer

- **Company:** Superscript
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Cloud Computing, Code Review, Continuous Integration, Data Architecture, Data Governance, Python (Programming Language), Pair Programming, SQL Databases, Data Streaming, Snowflake, Git, Containerization, Production Code, Machine Learning Operations, Data Lakehouse, Terraform, Software Version Control
- **Published:** September 27, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/lead-data-engineer/48668025

## About the Role

coach and support Data Engineers and Analytics Engineers, creating an environment where individuals can grow in confidence, capability and impact.Provide structured feedback and guidance through code reviews, pair programming, and knowledge-sharing sessions.Collaborate with Product Managers, Analysts, and stakeholders to design impactful data products that advance business goals.Foster a culture of experimentation, continuous improvement, and technical curiosity within the data functio n.About you:Deep understanding of modern data architectures (data lakehouse, event-driven pipelines, and orchestration systems).Strong proficiency in Python, SQL, and IaC (Terraform).Experience using dbt, Snowflake, AWS, orchestration tool like Prefect.Experienced in building and maintaining batch and streaming data pipelines at scale.Skilled in managing and optimising cloud infrastructure for cost and performance.Knowledge of CI/CD, testing frameworks, version control (Git), and containerisation

## Description

real-time analytics.Write and review high-quality, production-grade code in Python, SQL, and IaC (Terraform) that sets the standard for engineering excellence.Design and deliver end-to-end data pipelines.Optimise performance, reliability, and cost-efficiency across all data workflows and systems.Lead development of Superscript's MLOps capabilities, ensuring seamless model deployment, monitoring, and feedback loops.Own and improve data quality frameworks and observability to ensure trust in business-critical data assets.Produce detailed technical documentation accessible to both technical and non-technical stakeholder s.Lead complex, high-impact data initiatives from concept through to delivery, including scoping, architecture, resource planning, and execution.Anticipate risks, identify dependencies, and clearly communicate trade-offs between speed, quality, and business impact.Drive platform automation and resilience, ensuring rapid, reliable delivery of new data features and models.Lead


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