Data Engineer (Python + ML + Analytics)


Premium Job From Nigel Frank International

Recruiter

Nigel Frank International

Listed on

18th May 2020

Location

London

Salary/Rate

Negotiable

Salary Notes

Negotiable

Type

Permanent

Start Date

ASAP

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Data Engineer - Central LondonJob DescriptionWe 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 DatabasesBenefits 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: 0191 814 7445Email: [email protected]: linkedin.com/in/alex-todd-25a072105/ 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 DevOpsAWS, GCP, Python, Pandas, SciKit-learn, PySpark, Spark, Kubernetes, Jenkins, CI/CD, Airflow, Databases, Data Engineer, Big Data, Analytics

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