**PLEASE DO NOT APPLY IF YOU DO NOT HAVE THE PROPER RIGHT TO WORK AND ALSO IF YOU DO NOT HAVE A MINIMUM OF 3 YEARS UK EXPERIENCE**
- Do you want to join an award winning company?
- Do you want to work for a company that is undergoing an exciting digital transformation?
- Do you want to be part of a growing Data Science and Data Engineering Team?
Salary - £30,000 to £40,000 (doe)
A fantastic range of benefits are on offer as well
Location - Stoke on Trent - p_lease do not apply if you do not live in close proximity to the area - thank you_
Hybrid - 2 days a week in the office
The team works with a range of business teams including Tech and Change and your focus will be:
- The development and maintenance of the end-to-end data pipelines and data warehouse
- Implementing systems and standards to ensure service quality
- Maintenance of code repositories
What kind of person are you to be a Data Engineer
- A strong, independent problem solver
- An experienced Data engineer
- Able to work through complex problems
- Work independently on own projects but also flexible to step in to help with any critical issues
- Have a wide understanding of data infrastructure and environments and who can implement best practice
- A team player but also able to use own initiative
- A problem solver with a good eye for details and REAL-TIME hands-on experience
- Be self-motivated to continuously learn with the goal to become an expert
Knowledge and Experience for a Data Engineer
- Good knowledge of the tools, techniques, and processes for cleaning, shaping data from a variety of sources
- Have the ability to create robust data models to drive the business insights
- Collect and translate the business requirements for analytic solutions
- Operate and implement a variety of data structures
- Able to troubleshoot and anticipate any issues
- Design and develop the data engineering steps needed to provide the required data
- Good working knowledge of: MS. SQL, Python, Snowflake, Azure Services, ETL, Matillion, Elasticsearch, GitLab (or similar)
- Machine learning model deployment experience would be a plus
- Experienced in building and maintaining a live cloud data lake and data warehouse
Data Engineer Duties
- Design and develop ETL processes
- Design, build and maintain the data pipelines and data models
- Pipeline automation
- Support the business in the implementation of Data Engineering applications and tools
- Take ownership of warehouse platform
- Take responsibility for the quality of the code base to ensure the data is reliable
- Be a good communicator as you will be speaking to various Business Departments and stakeholders
IF YOU DO NOT HAVE THE MINIMUM REQUIREMENTS DO NOT APPLY