Your new role
As Analytics Engineer, you will act as lead in data engineering projects and support the developing analytical arm for Data Management and reporting. Responsible for a multitude of tasks, including, running bespoke projects for individual business units - ensuring data availability, accuracy, automation, and visibility. Supporting the growth of a new data culture from the ground-up by facilitating increased data literacy and new tool adoption. You will also be consolidating and maintaining existing data sources and solutions, while driving the adoption of cloud services.
What will you be doing
Driving efficiencies through exemplary use and execution of modern technology, leveraging the Azure Data technology stack and AI
Enable my client to drive superior business performance through use of data
Derive business value from Data whilst meeting and exceeding the expectations of customer, suppliers and colleagues in an innovative and future-driven technology landscape
Improving and streamlining data systems and provide robust solutions for business reporting
Consolidation of legacy system data sources into my client's client's Microsoft Azure tenant
Maintenance and development of existing databases and preservation of external products and BAU pipelines
You will need
Experience working in an agile environment with Atlassian tools
Strong stakeholder management skills, with an ability to communicate technical solutions to non-technical audiences
Expertise in working with Azure including, Data factory, Kubernetes, SQL Server MI, Azure SQL & Synapse
Expert at ETL/ ELT using SQL tools as well as external programming languages (R/ Python)
Extensive experience with SQL including query optimisation, stored procedures, database creation & maintenance, index optimisation & efficient table structuring
What you'll get in return
c£550- £625 per day (inside IR35)
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
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