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Data Engineer (Python + ML + Analytics)

Premium Job From Nigel Frank International
Recruiter: Nigel Frank International
Listed on: 16th October
Location: London
Salary/Rate: £50,000 - £60,000
Type: Permanent
Start Date: ASAP

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Data Engineer - Central London

Job Description

We are looking for a Data Engineer with experience in AWS or GCP to join one of our London based start-up Clients whose product helps transform the way in which businesses (Enterprise and SME) make decisions, utilising a range of Cloud, Data and Analytics technologies.

This company have been going from strength to strength, fully utilising Machine Learning and Data Science techniques... so much so that their product has been adopted by a large number of house-hold names within Banking, FinTech, Insurance, Sport & Retail and more.

Role & Responsibilities

  • You will be working on the design and deployment of the Data pipeline
  • Working with different structures of Data
  • Using your technical expertise to decide on suitable technologies for greenfield projects
  • Collaborating and contrinbuting to Data Science/ML projects
  • Access and full rein with Cloud technologies, AWS and GCP
  • DevOps practices - CI/CD
  • Working within an Agile team

Skills & Qualifications

  • AWS or GCP
  • Python (Pandas, SciKit-learn)
  • PySpark or Spark
  • (Bonus points for good experience with Kubernetes, Jenkins, CI/CD)
  • Airflow
  • Experience working with different types of Databases


  • Salary up to £60,000
  • Share options
  • Remote working possibility
  • Company incentives
  • Regular social events and thriving office environment
  • Learning & Development - continuous training courses/programmes

For more information, please contact ALEX at Jefferson Frank on:

Tel: [Telephone number removed]

Email: Click here to contact this recruiter


Jefferson Frank is the AWS recruitment agency of choice. Whether it's a contract, permanent or remote position, we find great people great jobs.

We are the larget AWS staffing firm across the globe, with offices in over 20 Cities across all the world, specialising in AWS technologies across Big Data, Analytics, Development and DevOps

AWS, GCP, Python, Pandas, SciKit-learn, PySpark, Spark, Kubernetes, Jenkins, CI/CD, Airflow, Databases, Data Engineer, Big Data, Analytics