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Data Engineer (Automation, Postgres)

Data Engineer (Automation, Postgres)

  • Location

    Hertfordshire, England

  • Sector:

    Machine Learning & AI

  • Job type:

    Temporary

  • Salary:

    company benefits + stocks

  • Contact:

    Anna Heneghan

  • Email:

    aheneghan@understandingrecruitment.co.uk

  • Job ref:

    BBBH8582_1622520023

  • Published:

    23 days ago

  • Duration:

    12 months

  • Expiry date:

    2021-06-08

  • Startdate:

    ASAP

  • Consultant:

    #

Data Engineer (Automation, Postgres)

12 Month Fixed (Initial) Term Contract

We are currently looking for an experienced Data Engineer (Automation, Postgres)) to join an automation-led powerhouse based in Hertfordshire, who are scaling up their Data and DevOps team. This leading-edge company is developing innovative solutions that will help improve the customer experience and work to find solutions to industry-wide dilemmas.

This Data Engineer will need to have a passion for finding the best and not the easiest solution. You will be able to learn and develop your skills further by working with a dedicated and tier-1 development team. You will also need a background in scripting with either Bash or Python, and also have an understanding of Kubernetes or Docker.

Some office access would be required but very flexible with remote working.

What we can offer a Data Engineer (Automation, Postgres):

  • A competitive compensation package and opportunity to extend the contract due to high demand!
  • You will have the freedom and expectation to explore complex automation
  • You will work amongst industry leaders in DevOps, Development, and more
  • You will be able to work in a flexible, start-up like environment, whilst having wider support of a wide-ranging tech-team

Key Skills:

Data Engineer (Automation, Postgres); Postgres, Database, Deploy, Deployment, Engineer, Data, Developer, Programmer, Bash, Python, Automate, Automation, Docker, Kubernetes, Linux, CD, CI, Grafana, Prometheus, Infra, Infrastructure, SCRUM, Agile, Cloud, AWS, GCP, ETL, Azure