Key Responsibilities
- Support the design and implementation of data models
- Map and optimise data flows across systems and platforms
- Build and support data ingestion solutions, pipelines and workflows
- Develop monitoring and validation processes to ensure data quality
- Implement failure detection and data availability monitoring
- Support batch and event-driven data processing solutions
- Connect and integrate datasets across multiple systems
- Support Data Governance processes, data lineage and logical data models
- Deliver reliable, scalable and high-quality data solutions
Required Skills & Experience
- Strong SQL skills
- Data modelling experience (Relational and Dimensional)
- Experience with ETL pipelines and data workflows
- Understanding of Data Quality frameworks and methodologies
- Experience using Python, Pandas, R or similar tools
- Knowledge of Data Governance best practices
- Strong analytical and problem-solving skills
Desirable Experience
- Data Engineering experience
- Cloud data platforms
- Real Time data processing
- Data monitoring and observability tooling
- DAMA-DMBOK knowledge
- Data lineage and metadata management experience
Ideal Backgrounds
The Ideal candidate will be an experienced Data Engineer with the ability to Design and Build data tools and models.
You will have experience in Analytics Engineering and Data Quality Engineering, in order to support Products and Business teams in understanding data better and making commercial decisions.
This is a great opportunity to join one of the world's most recognised digital brands and work on large-scale data platforms that support millions of customers globally.
Rate:
£70/hour
Location:
Manchester
IR35 Status:
Not specified
Remote Status:
Hybrid
Industry:
Data & Analytics
Seniority Level:
Mid-Level