Job Description

Vacancy No

VN14684

Employment Type

Permanent

Location Country

United Kingdom

Work Location

London

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

This role will sit within our newly forming Finance Data & Analytics function, with the long-term ambition of building a self-sufficient team capable of owning and delivering end-to-end finance data solutions. In the short term, the Data Architect will work within the existing architecture, processes, and constraints - including limited access to core environments and reliance on the central IT team for implementation. A key part of this role will be to influence and guide data development through collaboration and well-defined specifications, working within a governance framework designed to evolve over time. This role will initially involve working within limited access environments: (1) Write access is currently restricted to sandbox environments. (2) Implementation of pipelines and data flows must be done by the central IT data team. (3) The Data Architect will not initially own production deployment but will be responsible for defining, validating, and reviewing what is implemented. Over time, as the Finance Data & Analytics team grows and governance structures mature, we expect the Data Architect to assume greater ownership of the end-to-end data model and reporting lifecycle within the Finance domain.

Key Responsibilities and Tasks

Partner with Finance and other business stakeholders to gather requirements and define high-quality, scalable data models and reporting solutions. Develop Power BI data models, DAX calculations, and reports to support business performance monitoring and decision-making. Translate business logic into structured, reusable SQL views and functions (within sandbox environments), and define clear specifications for the central IT team to implement. Collaborate with data engineers to shape pipeline logic and ensure robust, business-aligned implementation -- even when implementation is handled externally. Perform root cause analysis and validation for data quality issues, working with the business and IT to resolve inconsistencies at the source wherever possible. Champion best practices in modelling, documentation, and governance across the Finance reporting stack. Contribute to the definition and rollout of a Finance-specific data architecture, aligned to V.'s wider enterprise data strategy. Act as a key contributor to a future-state data ecosystem where ownership of domain-specific logic and models sits closer to the business. Provide support for ad-hoc analysis and reporting needs from Finance leadership. Help build capability across the Finance team by coaching power users and contributing to knowledge sharing and process documentation.

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

Experience in data architecture, business intelligence, or a closely related role, with strong hands-on experience in SQL and BI tools. Proficiency with Power BI (or equivalent), including dataset modelling, DAX development, and Power BI Service administration. Strong understanding of data modelling, ETL design, and performance tuning. Demonstrated ability to work effectively in constrained environments, influencing without authority and navigating organisational complexity. Excellent communication and stakeholder engagement skills, particularly the ability to translate between technical and business audiences. A passion for continuous improvement, documentation, and building data capability in others.

Desirable

Bachelor's or Master's degree in computer science, Data Science, Information Systems, Finance, or a related field Experience with the Azure data stack (e.g., ADF, ADLS, Synapse, Databricks) preferred. Experience working within large or matrixed organisations with centralised IT/data teams is a plus.

Applications Close Date

25 May 2025