Data Engineer

Vacancy NameData Engineer Vacancy NoVN14547 Location CountryUnited Kingdom Work LocationGlasgow 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 JobThis Data Engineer role will work in a newly formed V.Group One Data Platform project that operates in a highly collaborative agile environment. j_id0__j_id1__j_id51__j_id181__j_id182__j_id191__j_id192__6__j_id193__j_id199 = window.onload; window.onload=function() { if (j_id0__j_id1__j_id51__j_id181__j_id182__j_id191__j_id192__6__j_id193__j_id199!= null) j_id0__j_id1__j_id51__j_id181__j_id182__j_id191__j_id192__6__j_id193__j_id199();}; Key Responsibilities and 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 API 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, DBA’s 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

j_id0__j_id1__j_id51__j_id181__j_id182__j_id191__j_id192__7__j_id193__j_id199 = window.onload; window.onload=function() { if (j_id0__j_id1__j_id51__j_id181__j_id182__j_id191__j_id192__7__j_id193__j_id199!= null) j_id0__j_id1__j_id51__j_id181__j_id182__j_id191__j_id192__7__j_id193__j_id199();}; 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. EssentialYou will be experienced working with the Azure data stack, building data pipelines, data warehouses / lakes and performance optimization. You will have strong experience in :

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 a 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.