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Data Engineer

Nigel Frank International
Job LocationLondon
EducationNot Mentioned
Salary£55,000 - £60,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

Job Title- Data EngineerLocation- London/ RemoteSalary- £55,000- £60,000Job 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 customers 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
    • Required skills
  • Python
  • Microsoft BI
  • Microsoft Azure
  • Docker
  • Azure SQL
  • Power BI
  • Kubernetes
  • SSRS / SSAS / SSIS
  • SPARK ETL

    • Keyskills :
    Python Microsoft BI Microsoft Azure Docker Azure SQL Power BI Kubernetes SSRS / SSAS / SSIS SPARK ETL

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