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.

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 an Analytics Data Engineering Manager is 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.

As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor and guide you, but to also lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact and live. It’s all here, so take a closer look!
Together we do what matters.

Key Responsibilities:

• Architecture, design, development and delivery of enterprise-grade Business Intelligence solutions based on the Microsoft Data Platform
• Working on high profile projects with well-known clients across various sectors
• Help clients realize the potential of data science, machine learning and scaled processing within Microsoft Azure
• Mentoring of more junior team members and supporting their personal development
• Achieving & maintaining Microsoft certification.

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• Strong communication skills and consulting experience with significant client impact and value creation
• Strong background of enterprise BI and data warehousing concepts and methods with the ability to adapt and tailor based on requirements
• Understanding of software engineering tools and concepts
• Working with modern data platforms (MPP architectures) and technology (Data Factory, Data Lake Store [gen 2], Databricks, Synapse Analytics, Cosmos DB, Azure SQL).

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