Data Engineer Lead

Vacancy No

VN15898

Employment Type

Permanent

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

• This Data Engineer Lead role will lead the design, development, optimisation, and governance of the V.Group One Data Platform within a highly collaborative agile environment. The role is responsible for providing technical leadership across the data engineering function, ensuring scalable and high\-quality data solutions that support strategic business objectives, innovation, and enterprise\-wide analytics capabilities.

• Lead the design, development, and maintenance of the enterprise data stack within the DevOps framework.


• Provide technical leadership and mentorship to Data Engineers and wider data teams.


• Define and enforce best practices for data engineering, architecture, governance, and quality assurance.


• Lead the development of scalable ETL/ELT pipelines and enterprise data integration solutions.


• Oversee integration with upstream and downstream systems and APIs for data ingestion and egestion.


• Drive optimisation of data warehouses, data lakes, and performance tuning activities.


• Ensure performance, reliability, quality, and consistency across all data assets and processes.


• Collaborate closely with Data Architects, DBA teams, Product Owners, Analysts, and business stakeholders.


• Lead technical discussions, solution design sessions, and architecture reviews.


• Champion data quality initiatives and establish enterprise\-wide data quality frameworks and standards.


• Define and implement data observability, monitoring, validation, and automated quality controls.


• Lead the creation and maintenance of data quality dashboards and reporting metrics.


• Review business use cases and define scalable future\-state data service capabilities.


• Drive adoption of modern data engineering principles, standards, and governance frameworks.


• Evaluate emerging technologies and identify opportunities to improve data utilisation, lineage, discovery, and accessibility.


• Support strategic delivery initiatives aligned with the V.Group innovation and transformation agenda.


• Manage priorities, technical delivery, and coordination across multiple workstreams.


• Influence cross\-functional teams and stakeholders without direct authority.


• Contribute to longer\-term data strategy, roadmap planning, and capability development.


• Attend other V.Group management offices as required.


• Undertake any other duties as required.

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

• Microsoft Azure data stack and SQL Server


• ETL/ELT technologies including SSIS and Azure Data Factory


• Cloud\-native data engineering and architecture


• Data warehouse and data lake design


• Performance tuning and optimisation


• Data governance, lineage, and quality frameworks


• CI/CD and DevOps practices within data platforms


• Data programming languages including SQL, Spark, Python, and C\#


• Distributed data processing and scalable architectures


• Leading technical teams and mentoring engineers


• Stakeholder engagement and cross\-functional collaboration


• Agile delivery methodologies


• Strong leadership and decision\-making capabilities


• Deep understanding of enterprise data best practices


• Excellent analytical and problem\-solving skills


• Strong verbal and written communication skills


• Experience influencing senior stakeholders and business leaders


• Ability to manage competing priorities and projects


• Strong attention to detail and commitment to quality


• Experience implementing enterprise data quality controls and monitoring


• Knowledge of cross\-business data domains and enterprise reporting structures


• Self\-motivated approach to planning and executing strategic initiatives


• Willingness to travel in support of business requirements

• Experience leading enterprise cloud migration or modernisation programmes


• Azure certifications or relevant cloud/data certifications


• Experience with data governance tools and master data management


• Exposure to AI/ML data platform enablement


• Experience working within global or maritime/logistics organisations

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