Azure data engineer job description template

[Senior] Azure data engineer, [Full-time / Contract (term) / Fractional (days a month)]
Location: [Remote, overlap hours with time zone / Hybrid, City / On-site, City]
Pay: [range and currency, or day rate for contract]

About us
[Two sentences: what the company does and why this role matters now.]

Why this role exists
[One honest paragraph about the current state.]

What you'll own in the first 90 days

- [e.g. Move core sources into ADLS and the warehouse with tested, documented pipelines]
- [e.g. Put monitoring and alerting on Data Factory or Fabric runs]
- [e.g. Set access control with Entra ID and Purview lineage]

Our stack
Azure · [Data Factory / Fabric pipelines] · ADLS Gen2 · [Synapse / Fabric warehouse / Databricks] · [dbt / Spark] · Azure DevOps · [Purview] · Entra ID · [Power BI]

Must have (five or fewer)

- Built and run pipelines in Azure Data Factory or Fabric in production
- Strong SQL and Python or Spark
- Data modelling for analytics
- Owning reliability: tests, monitoring, incidents
- Clear written communication

Nice to have

- [Terraform or Bicep] · [Event Hubs / streaming] · [Power BI semantic models]

How we work

- [Team, who you report to, on-call, overlap hours, async norms]

Hiring process

1. [Intro call] 2. [Scenario interview on a real, anonymised problem] 3. [Team conversation] 4. [Offer]

• Lead with outcomes, not a long list of requirements.
• Name your real stack so the right people self-select.
• State the engagement type: full-time, contract or fractional.
• Publish a pay range. For public pay data, see our rates and salary guide, which links only to BLS and ONS sources.
• Hiring across borders full-time? See hiring internationally through Deel.

Copy the template, edit the brackets, then post your role free on carbon.talent and review vetted profiles.