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# Azure Data Engineer (3-month contract)

- **Company:** CALM (Campaign Against Living Miserably)
- **Location:** United Kingdom (Remote available)
- **Experience:** Expert
- **Salary:** £83,200 - £124,800
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Continuous Integration, Data Warehousing, Python (Programming Language), SQL Azure, Azure DevOps Pipelines, Azure Data Factory, Git, Data Analytics, Restful APIs, Pagination
- **Published:** November 12, 2026
- **Apply:** https://www.charityjob.co.uk/jobs/calm-campaign-against-living-miserably-/azure-data-engineer-3-month-contract-/1090632

## About the Role

* Building and running production pipelines in Azure Data Factory
 * Deploying dbt Core with CI/CD
 * Clear communication and written documentation
 * Working independently with minimal supervision

Experience

 * 5+ years on Azure data platforms, including Data Factory and Azure SQL, ideally with certification
 * dbt Core in production
 * REST API ingestion (authentication, pagination, incremental loads), ideally in Python
 * Azure DevOps pipelines and git
 * Working with a range of stakeholders, from analysts to non-technical teams
 * Non-profit experience preferred but not required

## Description

This is a short-term contract to reset the foundations of our data warehouse and pipelines, so we can measure the success of our work and make data-driven decisions. You'll build on our existing Azure warehouse (Data Factory, Azure SQL Database) to make sure data loads are regular and accurate. You'll also set up separate dev and prod environments with dbt and Azure DevOps so the analytics team can keep developing after you leave. Clear, complete documentation and a handover to the team are the exit requirements., * Build automated loads in Azure Data Factory from our source systems (APIs and file-based sources) into Azure SQL Database

 * Set up dev and prod environments for our dbt project, with Azure DevOps pipelines for CI and deployment
 * Trigger dbt runs from Data Factory when loads complete, with monitoring and alerts on failure
 * Fix failing pipelines
 * Document everything you build and hand it over to the analytics team
 * Recommend pipeline improvements, Please note we're not responsible for the content of job ads, as they're posted by the recruiter. We'll aim to resolve the reported issue and we'll use your feedback to improve the quality of our ads.