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Data Engineer Python - FinTech

Job Title: Data Engineer Python - FinTech
Contract Type: Permanent
Location: London, England
Industry:
Salary: £45000 - £55000 per annum + bonus + benefits
REF: BB/15247/C/KS/170620_1592405263
Contact Name: Data Team
Contact Email: data@client-server.com
Job Published: 4 months ago

Job Description

Data Engineer / Developer (Python Pandas NumPy AWS) *Remote Interview WFH*. Global FinTech is seeking a bright, highly motivated Data Engineer to join the team responsible for providing the data platform, tools and best practices for the Data Science team.

As a Data Engineer you'll maintain and optimise existing data pipelines; participate in the migration of legacy data pipelines to Cloud based solutions and work with Data Scientists and Machine Learning Engineers to gather requirements. You'll receive training and improve your skills via continual learning programmes and work collaboratively with experienced Data Engineers to hone your skills in a supportive, friendly and upbeat team environment.

You'll based in open plan City based offices with a range of facilities and break out areas including pool table, ping pong table and roof terrace as well as quiet areas. There's a good work / life balance including flexible working hours and the option to work from home for part of the week; the company is able to offer a remote interview / onboarding process and 100% work from home during the current social distancing measures.

Requirements:
*You have experience of building data models and data pipelines using various design patterns
*You have strong Python coding skills and a good knowledge of data analysis libraries such as Pandas and NumPy
*You're familiar with Cloud based architecture and deployment (AWS, GCP)
*You're familiar with workflow management tools such as Airflow and Oozie and Big Data technologies such as Spark and Hadoop
*You're collaborative, keen to learn and share ideas

As a Data Engineer / Developer you will earn a competitive salary (to £55k) plus bonus and benefits.

Apply now or call to find out more about this Data Engineer / Developer opportunity.