Search Live Jobs

Banner Default Image

Data Engineer

Back to job search

Data Engineer

  • Location:

    West Midlands

  • Sector:

    Data Engineering

  • Job type:

    Permanent

  • Salary:

    £50k - 58k per year

  • Contact:

    Ashley Davis

  • Contact email:

    ashleydavis@unitingcloud.com

  • Contact phone:

    01782 557389

  • Job ref:

    d63E725

  • Published:

    16 days ago

  • Duration:

    Permanent

  • Expiry date:

    2021-04-20

  • Startdate:

    ASAP

Data Engineer

West Midlands

Up to £55,000 (2 days onsite)

 

We are looking for Data Engineer to join our business, who is going to change the way we look and process Data!

 

The Company:

We are a Dynamic, Scalable, and Passionate brand. We are continuously established great connections in our network to support other scalable brands with our services. 

 

The Team:

The team is a well-communicated department, with high standards and the drive to achieve great results. They are trustworthy and well-respected individuals who will guide the business when required. 

 

The Role:

You're will need to love what you do, as it's all-consuming and thoroughly brain-tingling. 

  • Design, create and implement data solutions based on the business requirements.
  • Evaluate business needs and objectives
  • Interpret trends and patterns
  • Explore ways to enhance data quality and reliability
  • Collaborate with the development team, Technical Design Architect, Data Scientist, and Infrastructure team to ensure that solutions are fit for purpose.
  • Develop data-driven solutions that will suit the business need.
  • Working to using best practice technical solutions and design methodologies.
  • Build algorithms and prototypes
  • Design and maintain reliable, and high-performance data-driven solutions.
  • Provide constructive input into improving department standards and processes.

Skills Required:

  • Previous experience as a data engineer or in a similar role.
  • Hands-on experience with SQL (Including SSAS, SSRS, SSIS, and ETL)
  • Great numerical and analytical skills
  • Previous experience in Spark, Hadoop, or Hive is advantageous.