Azure Data Engineer

We’re working with a digital client hiring an experienced Data Engineer to support build and optimization of an Azure-based data platform across Azure Data Factory, Databricks, Synapse / Fabric, and ADLS. You’ll join a growing delivery team (currently 4 engineers plus product/analytics partners) as a senior contributor, with plans to scale further. This suits someone hands on, comfortable in modern Azure data stacks, and experienced delivering production-grade pipelines. Six month initial contract with strong likelihood of rolling extensions. Rates typically $65–90/hr depending on experience, 40 hrs/week. Engagement via W2 or personal LLC only (no third parties). Fully remote, aligned to EST. What you’ll be doing • Build and enhance pipelines using ADF, Databricks, Synapse / Fabric • Design ELT for analytics and downstream consumption • Work with large structured and semi structured datasets • Collaborate with analytics, platform, and product teams • Support performance, reliability, and cost optimization • Contribute to Azure lakehouse / warehouse architecture What we’re looking for • Strong Azure Data Engineering experience • Production ADF and/or Synapse / Fabric • Databricks with Spark or PySpark • Solid Azure platform knowledge (ADLS, Key Vault, IAM, networking) • Strong SQL and Python • Agile delivery experience Nice to have • dbt exposure • Streaming / near real-time data • ML or data science support • Terraform or Bicep Why this role • Modern Azure stack • Real engineering work • Flexible contract with extensions likely • Experienced data team