Summary
Our Data Engineering team is made up of academically accomplished experts—and there’s room for more analytical and innovative data talents to join us.
We are seeking a Senior Azure Data Engineer to join Avanade’s Data Engineering Team. You’ll lead the design and delivery of Data Engineering solutions for our clients, split roughly 50/50 between presales and delivery. You’ll join a community of smart, supportive collaborators where you’ll shape solutions end to end, mentor junior engineers, and grow as a recognized technical leader. Together we do what matters.
This opportunity is ideal for experienced Data Engineers with min 8 years of experience, working on latest Azure technologies. The role is split roughly 50% presales and 50% delivery.
Key Responsibilities
- Architecture, design, development, and delivery of enterprise-grade analytics solutions based on Azure and Databricks technologies
- Lead delivery workstreams across projects, guiding hands-on implementation and mentoring junior developers
- Drive presales activities including creating proposals, responding to RFPs, estimating effort and pricing, and scoping and sizing solutions
- Build POCs and present technical demos to clients, translating business problems into compelling solutions
- Run client workshops and discovery sessions independently, providing thought leadership on Data Engineering solutions
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Skills and experiences
- Min 8 years of end-to-end experience in Data Engineering, including large-scale projects
- Experience in working with the latest Azure technologies, such as MS Fabric, 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
- Demonstrated experience leading technical delivery of data solutions end to end, including making architecture decisions and mentoring junior engineers
- Experience contributing to presales activities such as proposals, effort estimation, pricing, and solution scoping in a consulting or professional services context
- Strong English communication skills with the ability to lead client workshops, present to executives, and facilitate technical discovery
- Possess leadership experience with small development teams: track work, manage assignments, manage capacity, etc.
Personal Attributes
- Strong sense of end-to-end solution ownership, from discovery and design through delivery and handover
- Effective stakeholder management across technical and executive audiences, including clients, delivery teams, and internal leadership
- Consulting mindset, balancing technical depth with client empathy and a sharp focus on business outcomes
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