Data Engineer - Canary Wharf


Premium Job From Nigel Frank International

Recruiter

Nigel Frank International

Listed on

9th January 2020

Location

City Of London

Salary/Rate

£65000 - £85000

Type

Permanent

This job has now expired please search on the home page to find live IT Jobs.

Job DescriptionAn award-winning Google Cloud Platform Partner are currently seeking multiple Data Engineers to join their team as they embark upon a period of rapid expansion in response to client demand.Office-based in Canary Wharf, you'll be working on a range of Big Data projects as a Data Engineer, utilising the Google Cloud Platform to help your clients ingest and process huge amounts of data, working alongside a team of talent Data Analysis/Visualisation specialists and Data Science/Machine Learning consultants.You'll be predominantly working with Spark and Python within GCP, with a focus on highly performant code behind your data pipelines.

Role & Responsibilities Big Data solution development on GCP ELT/ETL and Data Pipeline Development using Python, Beam and Spark/Hadoop Technologies Data Infrastructure Design to handle high-volumes of data

Skills & Qualifications Experience in end-to-end Big Data development Experience in Hadoop, Spark, and PythonExperience in creating REST API's Previous experience of working in a GCP/AWS Cloud environment and utilising potential of cloud computingSTEM Degree (Mathematics ideal)Benefits Starting salary of around £60-85,000 depending upon experience Best-in-class GCP training and support Social company atmosphereTo apply for this role, please send an up to date CV to Owen Mitchell on [email protected] or call 0191 338 7552 for a catch up in complete confidence.Frank Group's Data Teams offer more opportunities across the UK than any other. recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.Twitter = @NigelFrank_BI LinkedIn = https://www.linkedin.com/in/owen-mitchell-b84984b2/

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