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83zero Ltd
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London, Greater London
Data Engineer
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Job Type: Full-time |
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Salary: £40,000 per annum |
Overview
Data Engineer Insight & Data Services - Permanent Salary guideline: £40,000 - £65,000 pa (DOE) Benefits, pension up to 6% contributory, Health Insurance, Life Assurance etc. Base Location: London - UK wide Our client is a global leader in Systems Integration and IT Consultancy. They have built out a super advanced and respected industry wide Insights & Data Practise, which is currently working with the biggest companies across multiple sectors, including, Banking, Energy & Utilities, Fashion, Retail, CPG, Manufacturing, Automotive and Public Sector. They are engaged on the biggest and most cutting edge Artificial Intelligence and Data Analytics enterprise scale programmes. The Role: They don’t really have a typical day or typical project my client. Their clients expect advice, proof-of-values, industrialised solutions; they work on small and very large engagements across several different sectors, including public, CPG, retail, manufacturing and utilities. If you aren’t on a project, you could instead be involved in a bid, doing some training, working on a point-of-view, building a demo or contributing to their blog series. My Clients Technical Stack: AWS (e.g Athena, Redshift, Glue, EMR) Google Cloud Platform IBM Cloud Python, Spark, SQL Experience of developing enterprise grade ETL/data pipelines with tools like Informatica and Talend Software engineering practices (coding practices to DS, unit testing, version control, code review) Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming) Experience using development and deployment technologies, for instance virtualisation and management (e.g. Vagrant, Virtualbox), continuous integration tools (e.g. Jenkins, Concourse, Drone, Bamboo), configuration management tooling (e.g. Ansible) and containerisation technologies (e.g. Docker, Kubernetes, Swarm) Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform) To apply please click the "Apply" button and follow the instructions. For a further discussion, please contact Jordan Ford.