Data Engineer
Sonovate
London, England, UK
4d ago

What is this about?

We are looking for a T-shaped Data Engineer to join our data and analytics team!

Our Analytics team prides itself on being customer focussed, using progressive technology & delivering to high quality.

Find out more about the of Sonovate, checkout our and here are some if you were to join us!

You will have

  • Expert SQL skills
  • Experience of software development with Python
  • Built solutions using modern data platforms / tools - we use dbt & Snowflake
  • Worked in the cloud - we're on Azure
  • Worked in an agile way
  • Familiarity with data modelling, data warehouse design & data lake concepts
  • Experience in working within robust SDLC process : Source control (Git) Unit-test and integration test experience
  • Interest in : Containerisation with Docker Infrastructure as code (e.g. ARM templates or Terraform, Ansible) for provisioning Continuous Integration, Continuous Delivery and Release Management tools such as Azure DevOps (VSTS)
  • Knowledge of financial services advantageous but not required
  • Nice to have - skills in a BI tool e.g. PowerBI / Tableau
  • What is Data & Analytics team doing?

  • Establishing a single unified data platform for Sonovate
  • Developing & managing end to end data pipelines from initial acquisition through to analytical use
  • Providing an analytical ecosystem for our internal users for deep dive analytical activity on data from both internal and external sources
  • Providing data integration services between operational systems (CRM, finance etc)
  • Designing and documenting solutions appropriately (wiki, diagrams, code comments etc)
  • Research and experiment with emerging data technologies and industry trends
  • The opportunity :

    You’ll be working, as part of a small team, establishing the data platform that will enable Sonovate to grow, innovate & optimise the business through improved visibility and data driven decision making.

    Developing data products end to end from initial acquisition through to analytical use : whether this is internal reporting, customer facing features of our SaaS product or AI driven applications.

    This includes the provision and support of relevant infrastructure and all analytical software as well as providing subject matter expertise to all stakeholders.

    Sounds interesting?

    If your answer is yes’ and you want to learn more, check out our here.

    We know that diverse teams are strong teams. We promote a diverse, inclusive and empowering culture and are committed to recruiting, retaining and developing all our employees..

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