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Data Engineer
Cardiff HQ · Cardiff, Wales, United Kingdom
Live, first seen by us 14 days ago- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Where you’ll be: This role is hybrid, based out of our Cardiff HQ, with 3 days per week in the office. Veezu is committed to fair and inclusive recruitment, welcoming applications from all backgrounds, experiences, and communities.
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering — team source
Department: Engineering
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or in the future require visa sponsorship to work in the UK?
From the employer’s application form
What you’ll work on
Full postingDesign, build and maintain ETL/ELT pipelines in Microsoft Fabric using Pipelines, Notebooks, Lakehouses, Warehouses and OneLake.
Write PySpark notebooks to ingest and transform data from SQL Server databases, REST APIs, SaaS applications and file-based exports.
Develop and optimise SQL transformations, stored procedures and Kimball-style star-schema data models.
From the employer’s posting
What you’ll do: Design, build and maintain ETL/ELT pipelines in Microsoft Fabric using Pipelines, Notebooks, Lakehouses, Warehouses and OneLake. Write PySpark notebooks to ingest and transform data from SQL Server databases, REST APIs, SaaS applications and file-based exports.
Design, build and maintain ETL/ELT pipelines in Microsoft Fabric using Pipelines, Notebooks, Lakehouses, Warehouses and OneLake. Write PySpark notebooks to ingest and transform data from SQL Server databases, REST APIs, SaaS applications and file-based exports. Develop and optimise SQL transformations, stored procedures and Kimball-style star-schema data models.
Write PySpark notebooks to ingest and transform data from SQL Server databases, REST APIs, SaaS applications and file-based exports. Develop and optimise SQL transformations, stored procedures and Kimball-style star-schema data models. Build and support Power BI semantic models and the datasets behind dashboards used by teams across the business.
What you’ll bring
All qualificationsCore experience
- 2-4 years' experience in a data engineering role.
- Experience with data governance, security and lineage.
- Strong SQL skills, including complex transformations and performance tuning.
- Experience with high-volume transactional data, ideally in transport, mobility or on-demand services.
- Hands-on experience with Microsoft Fabric (or Azure Synapse / Data Factory and a willingness to move to Fabric).
- Python and PySpark for data ingestion and transformation.
Qualification wording
2-4 years' experience in a data engineering role.
Experience with data governance, security and lineage.
Strong SQL skills, including complex transformations and performance tuning.
Experience with high-volume transactional data, ideally in transport, mobility or on-demand services.
Hands-on experience with Microsoft Fabric (or Azure Synapse / Data Factory and a willingness to move to Fabric).
Python and PySpark for data ingestion and transformation.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 23, 202614 days ago
- Recorded sightings
- 16
- Last seen by us
- Nov 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Veezu 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
- Power BI
- SQL Server
- PySpark
Where the posting names them
Your role at Veezu: As a Data Engineer, you'll build and maintain the data platform that powers reporting, analytics and data science across Veezu. Reporting into the Director of Data Engineering, you'll work hands-on with Microsoft Fabric, SQL, Python/PySpark and Power BI, bringing data in from our booking systems, databases and third-party APIs and shaping it into trusted, well-modelled datasets that the business relies on every day. Who are Veezu?
- Hands-on experience with Microsoft Fabric (or Azure Synapse / Data Factory and a willingness to move to Fabric). - Python and PySpark for data ingestion and transformation. - Experience integrating data from APIs and other external sources.
- Design, build and maintain ETL/ELT pipelines in Microsoft Fabric using Pipelines, Notebooks, Lakehouses, Warehouses and OneLake. - Write PySpark notebooks to ingest and transform data from SQL Server databases, REST APIs, SaaS applications and file-based exports. - Develop and optimise SQL transformations, stored procedures and Kimball-style star-schema data models.
- Write PySpark notebooks to ingest and transform data from SQL Server databases, REST APIs, SaaS applications and file-based exports. - Develop and optimise SQL transformations, stored procedures and Kimball-style star-schema data models. - Build and support Power BI semantic models and the datasets behind dashboards used by teams across the business.
- 2-4 years' experience in a data engineering role. - Strong SQL skills, including complex transformations and performance tuning. - Hands-on experience with Microsoft Fabric (or Azure Synapse / Data Factory and a willingness to move to Fabric).
- Strong SQL skills, including complex transformations and performance tuning. - Hands-on experience with Microsoft Fabric (or Azure Synapse / Data Factory and a willingness to move to Fabric). - Python and PySpark for data ingestion and transformation.
- Develop and optimise SQL transformations, stored procedures and Kimball-style star-schema data models. - Build and support Power BI semantic models and the datasets behind dashboards used by teams across the business. - Implement data quality, validation and reconciliation checks so numbers match across systems.
- Good knowledge of data warehousing and dimensional modelling (Kimball). - Experience with Power BI and semantic models. - Understanding of data quality, testing and reconciliation, and experience with Git / source control.
Your next step
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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 role at Veezu:
As a Data Engineer, you'll build and maintain the data platform that powers reporting, analytics and data science across Veezu. Reporting into the Director of Data Engineering, you'll work hands-on with Microsoft Fabric, SQL, Python/PySpark and Power BI, bringing data in from our booking systems, databases and third-party APIs and shaping it into trusted, well-modelled datasets that the business relies on every day.
Who are Veezu?
Veezu is the UK's fastest growing taxi and private hire technology business operating across hundreds of UK towns and cities. We are a tech-driven on-demand mobility service that supports our hyper-local communities, helping them thrive and so much more!
What you’ll do:
Design, build and maintain ETL/ELT pipelines in Microsoft Fabric using Pipelines, Notebooks, Lakehouses, Warehouses and OneLake.
Write PySpark notebooks to ingest and transform data from SQL Server databases, REST APIs, SaaS applications and file-based exports.
Develop and optimise SQL transformations, stored procedures and Kimball-style star-schema data models.
Build and support Power BI semantic models and the datasets behind dashboards used by teams across the business.
Implement data quality, validation and reconciliation checks so numbers match across systems.
Monitor production pipelines and troubleshoot data, performance and refresh issues.
Use Git, automated testing and CI/CD to support reliable, repeatable deployments.
Maintain clear documentation, data lineage and engineering standards.
Work with analysts and business stakeholders to turn requirements into practical data solutions.
Be committed to maintaining our ISO27001 certification and set high standards for Information Security compliance.
What you’ll need:
Essential
2-4 years' experience in a data engineering role.
Strong SQL skills, including complex transformations and performance tuning.
Hands-on experience with Microsoft Fabric (or Azure Synapse / Data Factory and a willingness to move to Fabric).
Python and PySpark for data ingestion and transformation.
Experience integrating data from APIs and other external sources.
Good knowledge of data warehousing and dimensional modelling (Kimball).
Experience with Power BI and semantic models.
Understanding of data quality, testing and reconciliation, and experience with Git / source control.
Confidence communicating with technical and non-technical stakeholders.
Nice to have
CI/CD and automated testing for data pipelines.
Microsoft Fabric certification (e.g. DP-600 or DP-700).
Lakehouse / medallion architecture design patterns.
Experience with data governance, security and lineage.
Experience with high-volume transactional data, ideally in transport, mobility or on-demand services.
Where you’ll be:
This role is hybrid, based out of our Cardiff HQ, with 3 days per week in the office.
Veezu is committed to fair and inclusive recruitment, welcoming applications from all backgrounds, experiences, and communities.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Cardiff, Wales, United Kingdom
Where you’ll be: This role is hybrid, based out of our Cardiff HQ, with 3 days per week in the office. Veezu is committed to fair and inclusive recruitment, welcoming applications from all backgrounds, experiences, and communities.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.