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Job Location | London |
Education | Not Mentioned |
Salary | £60,000 - £85,000 per annum |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent, full-time |
Role: Lead Data EngineerSalary: £60,000 - £85,000 per annumLocation: Holborn + remoteBenefits: To be dscussed over the phone (Long list)Here at Jefferson Frank,were dedicated to AWS recruitment-its all we do.Were the only global recruitment agency dedicated solely to AWS. Since June 2018, weve more than 1,600 AWS professionals across the world with great jobs working with AWS partners, ISVs and end users. No matter where you are in your career, or where you are in the country, were in your corner making sure you land the right job with the right terms.At Jefferson Frank we have an amazing opportunity to join one of the UKs leading IT consultancies to help create a brand-new engineering organisation. Perhaps you know what great engineering culture looks like, or you have an entrepreneurial side as well as outstanding coding skills Whatever your aspirations, my client are striving to create the best engineering consultancy in the UK and are looking for brilliant engineers to be part of the journey.Theyve been officially voted a "Great Place to Work" for five years in a row now. A big reason for this is that they have fostered an incredible environment where regular social events, inclusivity and an ego-free culture is embedded within the business.Theyre not interested in cutting corners and believe in helping their clients to make the right choice for the long-term. They draw on their reputation for outstanding delivery to allow their engineers to do the right thing for their clients, and not necessarily the easy thing. Innovation is in the companys DNA, and encourage their engineers and consultants to work together to rethink conventional wisdom on how problems should be solved.Heres what you will do (Not all of it, but some of the important stuff!)
Keyskills :
Python AWS Kafka Kubernetes Terrafm NiFi Azure and Google Cloud Flume - DB technologies: SQL Server / PosteSQL / MySQL *Hive/Spark/Impala - Dataiku