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# Lead Data Engineer

- **Company:** V Group
- **Location:** Glasgow, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Review, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), SQL Databases, Data Streaming, Cloud Platform System, Core Data, Real Time Data, Data Pipelines
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815453170-lead-data-engineer

## About the Role

* Senior, still-hands-on data engineering experience, with ownership of architecture and technical standards.
 * Strong command of the modern data stack (pipelines/ETL, warehouse or lakehouse, SQL, Python, orchestration).
 * Experience establishing data quality, lineage and governance practices.
 * A genuine player-coach - you still design and write code daily - able to provide technical leadership and guide other engineers.
 * Comfortable in a hybrid internal / outsourced delivery model.
 * Experience in maritime, ERP, or asset-intensive domains.
 * Cloud data platform experience (AWS, Azure or GCP) and streaming / real-time data.
 * Exposure to AI / ML data pipelines.
 * Relevant cloud or data engineering certifications.

## Description

* Own data engineering architectural decisions and technical standards across ShipSure.
 * Design scalable, reliable data pipelines and platforms across ingestion, transformation, storage and serving.
 * Establish best practice for data quality, lineage, observability and security.

Hands-On Delivery & Technical Leadership

 * Work as a player-coach - designing, building, testing and shipping data pipelines and models yourself alongside the data team, not only directing others.
 * Support the Head of Data on technical strategy and delivery, and set the technical bar through your own hands-on work.
 * Provide hands-on technical leadership - including design, code review and pairing - and guide engineers as the team scales.

Delivery

 * Partner with the Data & Dashboards Product Manager and Product Owner to build and deliver data-as-a-product capabilities.
 * Embed with engineering squads to define and implement the data approaches they need, while personally delivering core data platform work within the data team.


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