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# Senior Technical Specialist

- **Company:** HCLTech
- **Location:** West Sussex, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Quality, Continuous Integration, Data Architecture, Data Validation, Information Engineering, Extract Transform Load (ETL), DevOps, Python (Programming Language), SQL Databases, Google Cloud, Golang
- **Published:** September 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5686f7c324ecdfc7

## About the Role

Senior Lead Data Engineer (Engineering Lead) Location: Bristol or Manchester (onshore, office-based/hybrid per client policy - London-based candidates not eligible for this engagement) Seniority: Senior - c. 10+ years' relevant experience Role Overview We are looking for an experienced Senior Lead Data Engineer to lead a multidisciplinary feature team delivering data products end-to-end - from initial design through build, testing, governance and go-live - on a modern cloud data platform. This is a hands-on technical leadership role, not a purely managerial one; the successful candidate will set technical direction, coach engineers, and remain close to the code and architecture. Key Responsibilities * Lead and technically direct a feature team of data engineers delivering data products end-to-end. * Own delivery from ODP (source/data) selection through design, development, testing, validation, governance, deployment and go-live. * Drive engineering best practice:
code quality, testing standards, CI/CD and DevOps discipline within the team. * Apply AI-enabled approaches to accelerate data development and testing where appropriate. * Act as the primary technical point of contact for the feature team, escalating risks and dependencies early. * Contribute to data architecture and MDM design decisions in partnership with architecture leads. * Mentor and develop engineers within the team; support onboarding of new team members. Required Skills & Experience * Expert-level experience with Google Cloud Platform (GCP) or a comparable cloud data engineering stack. * Advanced, hands-on experience with dbt, Python and SQL for data engineering. * Strong data modelling and ETL/ELT design experience. * Proven track record delivering data products end-to-end in a production environment. * Experience with testing, data validation and quality assurance frameworks. * Familiarity with Master Data Management (MDM) concepts, integration
and implementation. * DevOps, CI/CD and deployment/governance experience in a regulated or enterprise environment. * Demonstrable experience leading or technically directing a team of engineers. * Immediately available or short notice period; able to mobilise without extended lead time.

## Description

Senior Lead Data Engineer (Engineering Lead) Location: Bristol or Manchester (onshore, office-based/hybrid per client policy - London-based candidates not eligible for this engagement) Seniority: Senior - c. 10+ years' relevant experience Role Overview We are looking for an experienced Senior Lead Data Engineer to lead a multidisciplinary feature team delivering data products end-to-end - from initial design through build, testing, governance and go-live - on a modern cloud data platform. This is a hands-on technical leadership role, not a purely managerial one; the successful candidate will set technical direction, coach engineers, and remain close to the code and architecture. Key Responsibilities * Lead and technically direct a feature team of data engineers delivering data products end-to-end. * Own delivery from ODP (source/data) selection through design, development, testing, validation, governance, deployment and go-live. * Drive engineering best practice: code quality,
testing standards, CI/CD and DevOps discipline within the team. * Apply AI-enabled approaches to accelerate data development and testing where appropriate. * Act as the primary technical point of contact for the feature team, escalating risks and dependencies early. * Contribute to data architecture and MDM design decisions in partnership with architecture leads. * Mentor and develop engineers within the team; support onboarding of new team members. Required Skills & Experience * Expert-level experience with Google Cloud Platform (GCP) or a comparable cloud data engineering stack. * Advanced, hands-on experience with dbt, Python and SQL for data engineering. * Strong data modelling and ETL/ELT design experience. * Proven track record delivering data products end-to-end in a production environment. * Experience with testing, data validation and quality assurance frameworks. * Familiarity with Master Data Management (MDM) concepts, integration and implementation. * DevOps, CI/CD
and deployment/governance experience in a regulated or enterprise environment. * Demonstrable experience leading or technically directing a team of engineers. * Immediately available or short notice period; able to mobilise without extended lead time.


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