Data Engineer (Python - Data Analytics)


Premium Job From Nigel Frank International

Recruiter

Nigel Frank International

Listed on

19th April 2021

Location

City Of London

Salary/Rate

£50000 - £55000

Type

Permanent

Start Date

ASAP

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

Data Engineer | UK based Candidates | RemoteFull Time - up to £55,000 + Bonus Our London based, Data Science-driven Client are currently hiring for a Data Engineer to join their team on a fully remote basis, working within the energy & utilities industry on the intersection of innovation and technology as part of a "tech for good" movement. You will join a cross functional Data team, working with other likeminded engineers and Data Scientists. This includes utilising cloud technologies (in this case, AWS although the hiring manager is very much open to cross training those experienced with Azure or GCP), Python libraries and cutting-edge data analytics tools. The role will offer you a chance to broaden your skill set and progress to senior and leadership levels within your career. Your involvement in the projects will help innovate and advance the R&D efforts, pushing forward changes which could genuinely influence the wider world that we live in and tackle some of the biggest challenges faced within this sector.Role:Design and develop ETL data pipelinesAPI's using API gatewayWork on time series data connected to IOT devices and energy dataMySQL and PostgreSQL database systemsCross-functional collaboration with Data Scientists and ML EngineersR&D effortsProgramming with Python - exposure to Python data librariesMentoring junior EngineersData CleansingContainers - Automatic processing of Data Skill Requirements:PythonAWS (Redshift, API Gateway) or Similar (Azure/GCP)MySQL, PostgreSQLETL Data Pipelines Benefits: Salary up to £55,000Company bonusPension schemeHealth benefitsLearning and development trainingSocial and networking eventsWork from home / remote working For more information on this job role, please contact ALEX from Jefferson Frank Key words: Python, AWS, Big Data, Data Engineer, SQL, PostgreSQL, MySQL, Redshift, ETL, API, Data Science, Data Analytics, Machine Learning, Pandas, NumPy, Tensorflow

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