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Agilisys
,
London, Greater London
Data Engineer - contractor
Overview
Job Description
Azure Data Engineer - 3 month contract - home based We are Agilisys and this is your opportunity to join us and transform the public sector. Making a difference to millions of people. That's what we do. Day in, day out. Sound good to you? Our clients include councils, the NHS and other public bodies, so our work directly impacts citizens. Our projects contribute to quicker responses and better outcomes in services provided to people across the UK. We are looking for an experienced Azure Data Engineer to join our growing team. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data modeller who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database engineers, data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives. How will you spend your days? * Create and maintain optimal data pipeline architecture, * Assemble large, complex data sets that meet functional / non-functional business requirements. * Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. * Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure and AWS cloud platforms * Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. * Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. * Keep our data separated and secure across national boundaries through multiple cloud regions * Work with data and analytics experts to strive for greater functionality in our data eco syste, How will you stand out? * Advance working with Azure * Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. * Experience building and optimizing data pipelines, architectures and data sets. * Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. * Strong analytic skills related to working with unstructured datasets. * Build processes supporting data transformation, data structures, metadata, dependency and workload management. * A successful history of manipulating, processing and extracting value from large disconnected datasets. * Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. * Strong project management and organizational skills. * Experience supporting and working with cross-functional teams in a dynamic environment. * We are looking for a candidate with 5+ years of experience in a Data Engineer role. You should also have experience using the following software/tools: * Experience with Azure PaaS, Azure Data Warehouse, Power BI, * Azure Data Factory and Polybase * Experience with using Logic Apps * Experience with big data tools: Hadoop, Spark, Kafka, etc. * Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. * Experience with AWS cloud services: EC2, EMR, RDS, Redshift * Experience with stream-processing systems: Storm, Spark-Streaming, etc. * Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.