Job Description

Our talented Data Engineering team is made up of globally recognised experts - and there's room for more analytical, innovative, client-driven data professionals. If you're passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let's talk. Take your skills to a new level and launch a career where you can truly do what matters.
Key Responsabilities
Design, development, and delivery of enterprise-grade analytics solutions based on Azure and Databricks technologies
Evangelise and evolve best practices for our clients and our team including to mentor your colleagues, supporting their personal development
Constantly developing technical skills in the latest Azure and Databricks technologies - achieving & maintaining relevant certifications
Working directly with high profile clients across a variety of sectors to understand their requirements and present solutions to customer sponsors
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Demonstrable end-to-end experience in Data Engineering, including large-scale projects
Experience in working with the latest Azure technologies, such as; Databricks, Microsoft Fabric, Data Factory, Azure Data Lake Storage (Gen 2), Purview, Cosmos DB, Open AI, Azure ML, AI Foundary, Kubernetes,
Understanding of software engineering tools and concepts including experience in Python, Scala or PySpark, database technologies, data modelling and SQL
Confident communicator who is able to explain technical terms to non-technical audiences and mentor junior colleagues
Leads small development teams: track work, manage assignments, manage capacity, etc.
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Skills Required