Data Engineer

We're working with a growing home furnishings retailer that's modernizing its data infrastructure - think legacy SQL Server systems evolving into cloud-native pipelines feeding BI and emerging AI initiatives. Looking for someone who cut their teeth as a database administrator and has since built real experience with Azure cloud data services. You'll own both the keep-it-running side and the build-what's-next side, working closely with a small, high-visibility AI/ML function.

Requirements:

• Solid foundation in SQL and SQL Server administration (performance tuning, indexing, backups, security)
• Hands-on experience building and maintaining ETL pipelines, ideally with SSIS
• Proficiency in C# for custom data tooling, integrations, and automation
• Exposure to BI tools such as Power BI
• Familiarity with Azure data services (Data Factory, Synapse, or SQL Database) or a comparable cloud platform
• Comfort operating in a hybrid environment where legacy systems and modern cloud pipelines run side by side
• Ability to balance day to day operational work with longer term build projects
• Collaborative mindset for working closely with a small, high visibility AI and ML team

Nice to have:

• Experience supporting data workflows that feed machine learning or AI initiatives
• Understanding of data modeling and warehouse design