Responsibilities:
- Develop and maintain data warehouse solutions, including:
- Building robust ETL pipelines to extract, transform, and load data from multiple sources
- Designing and implementing warehouse schemas and data models
- Maintaining version control and testing data pipelines for reliability
- Monitoring data quality and system performance
- Translate business logic and source system data into accurate and well-documented warehouse structures
- Collaborate with internal data analysts and stakeholders to define data needs and optimise data workflows
- Work closely with the in-house tech team, system owners, and other departments on cross-functional data initiatives
- Contribute to the implementation of modern data tools and cloud platforms such as Azure Data Factory and Synapse
Requirements:
- MQF Level 6 qualification (or higher) in Computer Science, Data Science, Statistics, Analytics, or a related field, plus at least 4 years’ relevant experience;
OR
MQF Level 5 qualification with at least 5 years’ relevant experience - Proven experience in:
- Data warehousing, including data modelling and ETL processes
- Coding (preferably in C# or similar languages)
- Querying databases using T-SQL or comparable languages
Familiarity with:
- DevOps practices such as Git and CI/CD
- Cloud platforms (preferably Azure)
- Data orchestration tools (e.g. Azure Data Factory, Synapse)
Benefits:
- Work-from-home option
- Health and life insurance
- Flexible working hours
- Various allowances and performance bonuses
Office Hours:
- Winter: 08:00–17:00
- Summer: 08:00–13:30