.This job is with Avanade, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community.Please do not contact the recruiter directly.As an Azure Data Engineer specialized in Microsoft Azure tools, you will support the implementation of projects focused on collecting, aggregating, storing, reconciling, and making data accessible from disparate sources to enable analysis and decision making.This role will also play a critical part in the data supply chain, by ensuring stakeholders can access and manipulate data for routine and ad hoc analysis.Additionally, you will support the full lifecycle of data from ingesting through analytics to action.Come join us As a member of the Data Engineering team, you'll have access to the research, knowledge, and tools to create leading-edge solutions across Avanade's Business Intelligence practice.The role of Data Engineer is perfect for ambitious technologists passionate about working with the latest Microsoft cloud technology and Microsoft experts.Our clients look to us for innovation, which means you'll have early access to the newest Microsoft technologies so you can master them and stay ahead of the curve.Together we do what matters! Skills and experiences Around 2 years of working experience as a Data Engineer (working with T-SQL) Knowledge of, at least, 6 months with Databricks and Data Factory Experience in T-SQL Data-Modeling Nice-to-have knowledge of Power BI solutions.About you Some of the best things about working at Avanade Opportunity to work for Microsoft's Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications) Real-time access to technical and skilled resources globally Dedicated career advisor to encourage your growth Engaged and helpful coworkers genuinely interested in you Find out more about some of our benefits Employee Benefits at Avanade | Avanade What you'll do Implementation of technical solutions Knowledge of data warehouse concepts and T-SQL relational/non-relational databases for data access and Advanced Analytics Knowledge of Power BI to enhance better data visualizations to the clients
