Senior 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