As a business we are now moving rapidly into the realm of data engineering and Databricks. We need an additional data engineer to work within our solutions team, to help us grow and increase our expertise. The role would encompass both the creation of technical solutions, advising on methodologies and helping upskill the wider department in the better utilization of new technologies.
Responsibilities
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Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment.
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Design, development, and maintenance of Databricks solutions.
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Helping upskill users into Databricks environments.
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Manage workstreams to create solutions that extract, transform, cleanse, and load data (ETL/ELT).
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Help administrate Databricks environments, ensuring policies and conventions are adhered to.
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Stay up to date on the latest data engineering trends and technologies.
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Databricks – hands on experience developing engineering solutions in Databricks ecosystem, including Unity Catalogue, and cluster administration.
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SQL – writing optimised and complex queries and understanding of relational databases.
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Python – we specialise in Python solutions.
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DevOps – hands on experience using tools like Terraform for IAC, and Azure DevOps for CI/CD.
Desirable
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Microsoft Azure – Data Factory, Data Lake, Azure SQL Server.
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Microsoft Fabric – or another spark engine.
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Application Platform Services – Azure Functions, Azure Logic Apps, Power Apps
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Generous Pension Scheme
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Private Medical Insurance
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Life Assurance
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Gym Membership Discounts
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Cycling Solutions Scheme
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Holiday Entitlement + additional Holiday Purchase Options
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Local Discounts (Cinema tickets, retailers etc)
Our Benefits
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Flexible working environment
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Volunteer time off
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LinkedIn Learning
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Employee-Assistance-Program (EAP)
Contact Detail:
NIELSENIQ Recruiting Team