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Senior Data Engineer

Job LocationLondon
EducationNot Mentioned
Salary500.00 - 650.00 per day
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeContract , full-time Work from home

Job Description

Senior Data Engineer required to work onsite with a scaling start-up in the FinTech space for an initial six month contract, Inside IR35. This role is largely remote but does require some onsite work in London or Milton Keynes once or twice a month. Data is critical to our client and deeply integrated into all aspects of their work. As such we need individuals who are naturally and proactively curious to join this scaling business data engineering team building and developing the tooling and pipelinesthat form the data ingestion and modelling machine for the organisations partnership agreements. An example of some of your duties will include:

  • Data modelling
  • Building and maintaining data pipelines
  • Working as part of a team to engineer tools based on data requirements, manage development from prototyping to productionising
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, improve existing tools for greater scalability, etc.
  • Develop and maintain data and coding standards, produce well-documented codes with robust testing and aligned with our data governance.
  • Helping to create a data-driven mindset across the organsation.
We need someone to possess:
  • Previous experience working as a data engineer in a start-up or fast-paced organisation
  • Strong SQL skills.
  • Strong Python programming skills - having built production-grade tools, have a test-driven approach with consistent and well documented code.
  • Experience in using orchestration tools (Airflow, Dagster or Prefect)
  • Experience with container technology (Docker, Kubernetes)
  • ExperiencewithCI/CDpipelines (preferably Azure DevOps
  • Experience with application deployment to Cloud services (Azure preferred)
Any experience of the below is a distinct advantage:
  • Experience in designing and implementing data frameworks
  • Experience with using data testing tools (Great Expectations, Soda, deequ)
  • Experience with aspects of Data Governance
  • Experience with automation projects with Python Web, API frameworks in Python (Flask, FastAPI)
  • You can share your GitHub repo (or equivalent)
For immediate interview please apply online today.

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