Engineering Manager (Data)

Location Country United Kingdom

Work Location Glasgow

Who are V? As a global leader in ship management and marine services, we add value to a vessel’s operations. Operating around the clock and around the world, V. gives every client the quality and efficiency they need in every sector. Covering crew management and recruitment, quality ship management and technical services, together with supporting management and commercial services, V. has an unrivalled industry knowledge with performance assured. Our values, We Care, We Collaborate, We Challenge, We are Consistent, We Commit and Deliver, are at the heart of everything we do and they support our strategy of Investing in Talent. We are always interested in making contact with talented individuals - people who will demonstrate our values and deliver great service, for internal and external stakeholders.

Overall Purpose of The Job

• The Engineering Manager (Data) builds the data foundations that enable V.Group’s AI and data-enabled ambitions.
• Help design and build the medallion platform architecture and the pipelines that feed it and set the technical standards the data engineering team works to.
• Reporting to the Head of Engineering, this role is a senior technical anchor for data engineering — turning the target architecture into working software and managing and mentoring engineers as the team scales alongside V.Platform.

Key Responsibilities And Tasks 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.

What can I expect in return? V. Group can offer you a market leading salary and benefits package, in addition to significant opportunities for career growth and personal development. This a great opportunity to join a true leader in the maritime sector - a company that has exciting plans for future growth.

Essential

• 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.

Desirable

• 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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