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.
Standards & Technical Leadership
- 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 and Team Management
- 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
Delivery
- 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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Engineering Manager (Data) in Glasgow employer: V.Group
At V., we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation. Our commitment to employee growth is evident through our investment in talent development, ensuring that every team member has the opportunity to thrive in their career. Located in a vibrant industry hub, our culture is built on our core values of care, consistency, and commitment, making V. a rewarding place to work for those passionate about making a difference in the marine services sector.
