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Azure Data Engineer (3-month contract)
- Pay
£40–60/hour — pay source
Why us? Reports to: Head of Data Analytics Contract: 3-month Freelance contract Ways of working: Fully remote, or London Waterloo twice a week (Wednesdays and Thursdays). We work a nine day fortnight. Salary: £40-£60 per hour (for freelancers) A work environment that values creativity, personal growth and collaboration.
Read the full posting- Work setting
- Not stated
- Employment
Contract — employment source
Employment type in the employer’s posting: Freelancer
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work in the UK
Right to work in the UK
What you’ll work on
Full postingYou’ll build on our existing Azure warehouse (Data Factory, Azure SQL Database) to make sure data loads are regular and accurate.
Build automated loads in Azure Data Factory from our source systems (APIs and file-based sources) into Azure SQL Database
Document everything you build and hand it over to the analytics team
From the employer’s posting
Your mission 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. Responsibilities
Responsibilities 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
Fix failing pipelines Document everything you build and hand it over to the analytics team Recommend pipeline improvements
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 14, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Calmlife is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- dbt
Where the posting names them
- dbt Core in production - REST API ingestion (authentication, pagination, incremental loads), ideally in Python - Azure DevOps pipelines and git
Your mission 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. Responsibilities
Responsibilities - 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
- 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
- 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
Competencies - Building and running production pipelines in Azure Data Factory - Deploying dbt Core with CI/CD
- 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
- 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
- Building and running production pipelines in Azure Data Factory - Deploying dbt Core with CI/CD - Clear communication and written documentation
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
Your next step
Complete your application on calmlife.jobs.personio.de. The employer’s form will show what is required.
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Your mission
Your profile
Experience
Why us?
Right to work in the UK
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.
Responsibilities
- 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
Your profile
Competencies
- 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
Why us?
Reports to: Head of Data Analytics
Contract: 3-month Freelance contract
Ways of working: Fully remote, or London Waterloo twice a week (Wednesdays and Thursdays). We work a nine day fortnight.
Salary: £40-£60 per hour (for freelancers)
A work environment that values creativity, personal growth and collaboration.
Applications will close on Sunday 22nd November.
Right to work in the UK
To apply, you will need to have a valid right to work in the UK (such as a British/Irish passport, Settled Status, or Indefinite Leave to Remain).
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Why us? Reports to: Head of Data Analytics Contract: 3-month Freelance contract Ways of working: Fully remote, or London Waterloo twice a week (Wednesdays and Thursdays). We work a nine day fortnight. Salary: £40-£60 per hour (for freelancers) A work environment that values creativity, personal growth and collaboration.
- Location & working pattern
London
Why us? Reports to: Head of Data Analytics Contract: 3-month Freelance contract Ways of working: Fully remote, or London Waterloo twice a week (Wednesdays and Thursdays). We work a nine day fortnight. Salary: £40-£60 per hour (for freelancers) A work environment that values creativity, personal growth and collaboration.
- Work authorization
Applications will close on Sunday 22nd November. Right to work in the UK To apply, you will need to have a valid right to work in the UK (such as a British/Irish passport, Settled Status, or Indefinite Leave to Remain).