Data Engineer
Company: V.Group – a global leader in ship management and marine services.
Location: United Kingdom
Work Location: Glasgow
Overall Purpose of the Job
This Data Engineer role will work in a newly formed V.Group One Data Platform project that operates in a highly collaborative agile environment.
Key Responsibilities & Tasks
- Build and maintain the configuration of the data stack within the DevOps framework.
- Develop data objects and write code in and around the data stack.
- Interact with upstream and downstream systems and APIs for data ingestion and egestion.
- Build ETL pipelines and data framework for monitoring the pipeline.
- Ensure performance, quality and consistency in the data and processes.
- Champion good data design practices and promote data quality.
- Collaborate and contribute with data architecture, DBAs and other team members.
- Review use cases, data demand, envision future demands to develop data services to support business needs.
- Explore new ways of improving data utilization/consumption, discovery, and lineage.
- Develop and champion data principles and define/lead efforts for adoption.
- Develop tools and functions for cross-system data quality and data cleansing.
- Implement data quality metric rules against data assets.
- Create and maintain data quality dashboards.
- Establish and develop robust data quality checking and validation and facilitate continuous checks improvement.
- Contribute to implementing new techniques and strategies that will support the achievement of longer-term ambitions.
- Support and lead the various work streams as required for the delivery of the V.Group Innovation strategy and agenda.
- Attend other V.Group management offices as required.
- Any other tasks as required.
What can I expect in return?
V.Group can offer a market leading salary and benefits package, in addition to significant opportunities for career growth and personal development.
Essential Requirements
You will be experienced working with the Azure data stack, building data pipelines, data warehouses/lakes and performance optimization.
- Microsoft Azure data stack and SQL Server, ETL; SSIS and Data Factory.
- Stack design and performance optimization.
- Data programming languages: SQL, Spark, C#, Python.
The right candidate will have good attention to detail, deep understanding of data best practices, strong analytical skills, communication, and user engagement skills.
- Experience in data development.
- Strong data background.
- Ability to influence cross-functional teams without formal authority.
- Strong problem‑solving skills along with excellent verbal and written communication skills.
- Bulk data manipulation and import procedures.
- Knowledge of cross‑business data will be a strong advantage.
- Self‑motivated for planning and executing tasks and projects.
- Willing to travel in support of business requirements.
Applications Close Date
23 Nov 2025
Seniority level
Entry level
Employment type
Full‑time
Job function
Information Technology
Industries
Maritime Transportation