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Engineering Manager; Data)
Job in
Glasgow, Glasgow City Area, G1, Scotland, UK
Listed on 2026-10-18
Listing for:
V.Group
Full Time
position Listed on 2026-10-18
Job specializations:
-
Software Development
Data Engineering
Job Description & How to Apply Below
Engineering & Build
- Design and build the data pipelines and ETL underpinning a medallion platform architecture — bronze, silver and gold layers — across ingestion, transformation, storage and serving.
- Build and maintain the data platform hands-on across Microsoft SQL Server and Microsoft Fabric.
- Implement tenancy isolation, security and performance controls within the pipelines, for both the V.Group managed fleet and external customers.
- Implement mastered data within the platform, working to master data definitions and stewardship owned elsewhere in the data function.
- Build the gold-layer data products and the interfaces that serve them, for downstream integrations and for MCP-based AI and agent consumption.
- Translate the target architecture into working technical standards and hold the team to them in code.
- Provide hands-on technical leadership, including design and code review.
- Act as the senior technical anchor for the data engineering team, mentoring engineers as the team scales.
- Implement data quality, lineage and observability controls across the pipelines.
- Direct a dedicated DBA within the IT support team on day-to-day database administration and operational support.
- People management of direct team members – setting and measuring objectives
- ‘Dotted line’ management of third-party resource, measuring performance and addressing issues with the partner
- Manage overall performance of the team using quantitative and qualitative metrics
- Partner with the Product Team to deliver data-as-a-product capabilities.
- Collaborate with engineering squads and development partners to deliver to standard.
- Support the Architecture and Engineering functions on technical strategy, estimation and roadmap feasibility.
- Senior, hands-on data engineering experience, with a track record of setting technical standards.
- Strong command of the modern data stack (pipelines/ETL, warehouse or lakehouse, SQL, Python, orchestration).
- Deep hands-on experience with Microsoft Fabric and Microsoft SQL Server.
- Proven experience designing and operating pipelines and ETL within a medallion (bronze / silver / gold) platform architecture.
- Experience implementing data quality, lineage and observability practices.
- Working understanding of master data management concepts and how mastered data is modelled and served.
- Demonstrable experience managing and coaching engineers
- Comfortable in a hybrid internal / outsourced delivery model.
- ERP experience, ideally in maritime or another asset-intensive domain.
- Experience building multi-tenant data platforms serving external customers.
- Cloud data platform experience (AWS, Azure or GCP) and streaming / real-time data.
- Wider data product experience across platforms such as Apache Spark, Databricks and Snowflake.
- Exposure to AI / ML data pipelines and emerging agent interfaces such as MCP.
- Hands-on master data management delivery experience.
- Relevant cloud or data engineering certifications.
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