AI Engineer Manager

Job Description

To support the needs of our clients, Avanade is actively recruiting and interviewing for the role outlined below as we continue to build on another year of growth in our business. Now, with more than 60,000 employees around the globe, we are positioning our organization to effectively prepare for the future. What does this mean for you? We encourage you to apply and interview for this role without the need to decide now. This allows you to connect with leaders and hiring managers at a pace that works for you and when roles become available, you will be the first to know.

Our talented Data Engineering team is made up of globally recognized 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 Responsibilities

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 Senior 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.

• Architecture, design, development, and delivery of enterprise-grade analytics solutions based on Azure and Databricks technologies
• Mentoring of more junior team members and supporting their personal development
• Constantly developing technical skills in the latest Azure and Databricks technologies - achieving & maintaining relevant certifications

Qualification

• At least 4 years of experience in Data
• Demonstrable end-to-end experience in Data Engineering
• 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 experience in Python, Scala or PySpark
• 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.