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!

Key Responsabilities:

• 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.

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Skills and experiences:

• Existing experience in Data Engineering, ideally with large volumes of data (working with T-SQL)

• Experience in working with the latest Azure technologies, such as; Databricks, Synapse, Data Factory, Azure Data Lake Storage (Gen 2), Cosmos DB

• Understanding of software engineering tools and concepts including coding experience in languages such as Python, Scala, or Pyspark

• Confident communicator who is able to report progress and challenges effectively

• Nice-to-have knowledge of Power BI solutions.

About you:

• You will likely have 2 or more year(s) of prior related work experience

• Analytical, curious, agile

• Team player and good communicator

• Problem-solver, patient, quality-driven

• Self-motivating

• Innovative mindset

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