Key Responsibilities
- Design, build and deploy data products on a cloud-based platform using modern ELT/ETL patterns.
- Write and maintain dbt models, Python pipelines and SQL transformations to a production standard.
- Contribute to MDM integration and implementation activities, including bespoke and commercial off-the-shelf (COTS) MDM solutions.
- Design and implement real-time data product patterns where required.
- Build and maintain automated testing, data validation and quality checks.
- Apply AI-enabled tooling and approaches to speed up development and testing.
- Work within existing delivery, architecture, security and governance standards.
- Support deployment, go-live and post-go-live stabilisation activities (DevOps practices).
Required Skills & Experience
- Strong hands-on experience with GCP or a comparable cloud data engineering platform.
- Advanced practical experience with dbt, Python and SQL.
- Solid data modelling and ETL/ELT design skills.
- Experience delivering data products end-to-end, not just individual pipeline components.
- Exposure to MDM concepts and/or integration work is a strong plus.
- Experience with testing frameworks and data quality/validation practices.
- Comfortable working within DevOps/CI-CD delivery models.
- Ready to mobilise quickly; academic-only or purely theoretical profiles will not be considered.
Rate:
Not specified
Location:
Bristol
IR35 Status:
Not specified
Remote Status:
Hybrid
Industry:
Data & Analytics
Seniority Level:
Senior