Data Engineer

Method Resourcing ,
London, Greater London
Job Type: Full-time
Salary: £40,000 per annum

Overview

Python Scala AWS GCP Hadoop Spark Azure SQL ETL Azuredatafactory Hive/Impala Databricks Title- Data Engineer Location- London Method Resourcing have partnered with a very exciting up and coming data consultancy company. They currently have around 100 heads in the business and are growing rapidly. They specialise in end to end data solutions for companies like Salisbury's, Co-Op and HSBC Based in central London, they are looking for data engineers to join there team, one at the senior level and one at the junior level. The salary on offer is between £40,000-£60,000; dependant on experience. Skills they are looking for include- SQL Experience working with the Hadoop ecosystem (Spark, Hive/Impala, Databricks) Programming background in Java, Scala, R or Python Experience in designing, developing and managing data pipelines to process large amounts of data Experience of cloud based big data offerings such as Amazon EMR, Azure HDInsights or Google Dataproc Azure, AWS or GCP ETL tool e.g. Azure Data Factory, SSIS & Talend Understanding of data modelling techniques e.g. Kimball Kafka Experience working with large, structured and unstructured datasets Experience with database technologies (relational, NoSQL, graph) Expertise with version control e.g. git You'll be working on multiple projects and will be assigned projects which suit your skills set, so you aren't expected to know everything They have a range of clients and work, this will be a varied role with lots of chances to expand your knowledge base and work on interesting projects. There will be some UK/European travel involved and ideally you'd be flexible with staying away for a couple of weeks at a time. Sounds like your kind of role? Apply now or get in touch with Imogen at Method email or call . Python Scala AWS GCP Hadoop Spark Azure SQL ETL Azuredatafactory Hive/Impala Databricks