• Location: London, England
  • Salary: £55000 - £60000 per annum
  • Technology: Microsoft BI Jobs
  • Job Type: Permanent
  • Date Posted: 7th May, 2021
  • Reference: 05072021

Job Title- Data Engineer


Location- London/ Remote


Salary- £55,000- £60,000


Job Description-


You will be working for a leading financial service consultancy, working as a Data engineer on client projects. It will be your responsibility to ensure that the design of the data solution and the architecture work together efficiently. P Proactively identifying potential issues. Owning the overall design and implementation of the data solution.


Benefits



  • Discretionary share options & profit sharing scheme

  • Private medical insurance with Vitality

  • Long term disability & death in service insurance

  • Pension contribution of 6% with option to increase by a further 3%

  • 25 days holiday / year increasing by 1 day per year of service to a maximum of 30 days


Role & Responsibilities



  • You will be working with the customer business users to ensure that the design of the solution accurately supports the customer's business requirements



  • Understanding and leveraging expert knowledge of Data Engineering and DataOps approaches and products, 3rd party technology and technology trends



  • As required, adopting the role of a Data Architect to ensure that the data architecture is compatible with the overall system architecture and meets non-functional requirements

  • Identifying project risks / escalating issues and feeding back information to Managing Consultants, Project Managers, and/or Senior Management

  • Providing input for work breakdown and estimation.



  • Under the direction of a Project/Program Manager plan, run, and manage meetings with internal and external clients and leading quality assurance reviews

  • Sharing best practice experience, advice and techniques


Skills & Qualifications



  • Minimum 5+ years of data engineering.

  • Ability to apply industry standard development approaches specifically agile continuous integration, continuous delivery through DataOps.

  • Detailed Design, Coding, and Testing (Unit/CIT) of data pipelines within an existing product framework.

  • Support for SIT and system test including building test data setsStrong written and verbal English language communication skills


Technology



  • Database engineering

  • SPARK ETL, and pipelines engineering

  • SQL knowledge

  • Python data skills

  • Knowledge about Excel and end user data tools

  • Knowledge of reporting systems and patterns

  • Azure knowledge

  • JSON and Tabular data formats

  • Docker / Kubernetes

  • Ability to use Git