At a Glance
- Tasks: Lead the design and development of innovative data solutions in a collaborative environment.
- Company: Join V.Group, a global leader in ship management and marine services.
- Benefits: Enjoy a competitive salary, career growth, and personal development opportunities.
- Other info: Dynamic role with opportunities for travel and cross-functional collaboration.
- Why this job: Make an impact in the maritime sector with cutting-edge data engineering.
- Qualifications: Experience with Azure data stack, SQL, and leading technical teams.
The predicted salary is between 70000 - 90000 £ per year.
Location: 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 is 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.
Data Engineer Lead in Glasgow employer: V.Group
V. Group is an exceptional employer, offering a dynamic work environment in Glasgow where collaboration and innovation thrive. With a strong commitment to employee growth, we provide extensive career development opportunities alongside a competitive salary and benefits package. Our values of care, collaboration, and consistency ensure that every team member feels valued and empowered to contribute to our mission in the maritime sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Lead in Glasgow
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like V.Group.
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We think you need these skills to ace Data Engineer Lead in Glasgow
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at V.Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at V.Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at V.Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at V.Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
