Data Engineer (Advanced Analytics)

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Data Engineer - London£60,000 - £90,000 A global Advanced Analytics company are expanding and on the lookout for a talented data engineers to join their cross-functional Big Data and Analytics team.You will join a market leader in cutting-edge technologies solutions for Clients, solving complex business problems through DataThe projects are both in-house in their central London office and on Client site for their London based clients. (Due to recent world events, work is currently being conducted on a fully remote basis) What you'll be working on? Developing data processing systems around ML alongside data scientists and machine learning engineers.Designing and deploying data pipelinesData Visualisation solutionsModelling database schemas and storage structures / solutionsInfrastructure for machine learning pipelines The techy part… We want to speak to people who have worked with some of the following technologies Good coding knowledge with a scripting language: Python, Java, OR ScalaWorking knowledge with cloud platforms Azure, GCP OR AWSWorking with relational SQL databasesExperience with big data tools: Hadoop, Spark, Kafka etc.Experience building and optimizing data pipelines, data sets and architecturesExposure to ETL pipeline building and tools Benefits (At a glance) Cutting edge Cloud & Big Data technologies | Learning and Development opportunities | Clearly defined Career Progression roadmap | Relaxed Working Environment | Bonus up to 25% bonus | Private health and dental care If you think this is the next exciting opportunity for you - apply today!Contact ALEX from Jefferson Frank on 0191 814 7445 or [email protected]Jefferson Frank is the Amazon Web Services (AWS) recruiter of choice. We work with organisations worldwide to find and deliver the best AWS professionals on the planet across Development, DevOps and Big Data. 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 organisations globally from our offices in North America, Europe, and Asia-Pacific.