This role is currently interviewing and working remotely. However, usually the role is based near centrally in London
Data Engineer (Python, Spark, SQL) - Victoria
This client is an influential name in the Big Data space in London. Your contributions will be towards internal research and development teams, working towards the development of a high tech predicitive analytics platform. This opportunity will provide hands-on exposure to a long list of modern, cutting edge, Cloud & Big Data tech allowing you to grow on a personal and professional basis into one of the most in-demand technologists within your field of expertise. You'll be provided with exceptional tools and training. Additionally, given the current climate they are conducting a a fully remote interview process, ensuring that there are no barriers to finding your dream new job.
Role & Responsibilities
* Building Data pipelines with Python and Python libraries including Pandas, Numpy etc
* Working with structured, semi-structured and unstructured data
* Working with cross-functional teams (Data Science/Analytical) across multiple databases
Skills & Qualifications
* Significant experience Data Engineering
* Experience working with Cloud technologies (AWS, Azure OR GCP)
* Experience with Python
* Experience with Spark, Hadoop, SQL
* Excellent bonus stucture
* Paid learning & development opportunities
* Life Assurance
If this sounds like the ideal next step in your career, please get in touch as soon as possible with your CV so that we can progress with your application - Siobhan O'Brien
+44 0191 814 1410
Jefferson Frank is the Amazon Web Services (AWS) & DevOps recruiter of choice. We work with organisations worldwide to find and deliver the best AWS & DevOps professionals on the planet. Backed by private equity firm TPG Growth, we have a proven track record servicing the AWS permanent and contract recruitment market and, to date, have worked with over 30,000 organizations globally from our offices in North America, Europe, and Asia-Pacific.
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