Data warehouse architect Work, Jobs in Glasgow, Glg (with Salaries)

Data Engineer Lead
V.Group —Glasgow
- Azure
- SQL
- Travel
Principal Software Engineer
BBC —Glasgow
- Full-time
- DevOps
- AWS
- Leadership
10d

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Data Engineer Lead

V.Group -
Glasgow

Apply Now

Job details

Permanent

Qualifications

Azure
Cloud architecture
C#
Spark
Microsoft SQL Server
Logistics
SQL
Data management
APIs
SSIS
Business requirements
AI
Leadership
Communication skills
Python

Full job description

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.

Key Responsibilities and Tasks

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.

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

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

Desirable

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

Applications Close Date

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