Data Engineer Lead

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 Dev Ops 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 work streams.
• 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.
• 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 Dev Ops 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
• 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