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​Data Engineer (Scala, Spark, GCP, AWS, Python)

  • Contact phone:

    0203 865 0621

  • Duration:

    6 Months

    Job title ​Data Engineer (Scala, Spark, GCP, AWS, Python)
    Contract type: Contract
    Location London
    Visa requirement: Applicants must be eligible to work in the specified location
    Reference: ND/LDN/DAT
    Contact name: Nathan Davis
    Contact email:
    Published: October 12, 2020 10:01

    Job Description

    ​Data Engineer (Scala, Spark, GCP, AWS, Python)

    My client has a need for a senior contract Data Engineer until 18th of April 2021 with a high chance of extension thereafter.

    • You'll mostly be programming in Scala, Python, Apache Spark running in GCP and AWS, but they use the tool that best fits the problem.

    • You'll be working with data warehouse technologies including BigQuery, DBT and Apache Airflow.

    • You'll be working in a cross-functional team, which is empowered to rapidly iterate and release new features.

    • You won't be coding in isolation - their culture is strongly collaborative, whether pair programming with other developers or working closely with editorial and commercial colleagues.

    • Sometimes deciding what code to write is as hard as writing the code itself. As an engineer you'll be involved in product decisions as well as technical ones.

    • You'll be encouraged to help others grow - you will pass on your expertise to other developers, whilst continuing to grow yourself.

    Much of their code is openly available on GitHub, and some of our projects are widely used throughout the Open Source community. Many of their developers regularly attend and present at conferences.

    About You

    As a data engineer, you will create and maintain our data pipeline. You'll be equally willing to create data tools for analytics, insights and business performance metrics whilst building the infrastructure required for optimal extraction, transformation and loading of data.

    • You have an understanding of data privacy, governance and management.

    • You have experience building tools for deploying advanced analytics.

    • You inspire the people you work with, and are inspired by them in return.

    • You contribute to the direction of your team's products

    • You are passionate about spreading engineering best practice beyond your immediate team.

    • You are excited by the opportunity to shape the future of digital journalism.

    • You can make reasoned choices regarding what technologies to use and when to use them.

    Apply today to find out more.