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About the Role
This is a key role in the Business Insight team responsible for the delivery and development of the organisation wide BI infrastructure, bringing together data from our core systems to provide a single view of the business and its strategic partners.
Responsibilities
- Develop, maintain and optimise data pipelines and ETL/ELT processes between source systems and the cloud-based Data Warehouse (Microsoft Fabric)
- Take ownership of the reliability, monitoring and performance of data pipelines, resolving issues and improving data quality
- Design, build and maintain data warehouse structures and schemas within our medallion architecture
- Integrate internal and external data sources using APIs, databases, files and other ingestion methods
- Work across the data Delivery Lifecycle – Define, Design, Develop & Deploy – including data processes, data models and semantic models
- Document technical solutions in accordance with Data & Analysis standards
- Ensure compliance with company data governance, risk and security policies
- Support the BI Manager and BI Analysts with data engineering, architecture, modelling and best practices
- Help upskill the BI team and promote consistent data and BI practices across the organisation
Requirements
- Strong experience in data engineering, including ETL/ELT, data pipelines and modern cloud data platforms
- Strong understanding of data warehousing, dimensional modelling, Kimball principles and data architecture
- Advanced SQL/T-SQL skills, including query development, optimisation and troubleshooting
- Strong Python, PySpark or similar programming skills for data manipulation and automation
- Experience integrating data from APIs, databases, files and other sources
- Experience with data quality, pipeline monitoring and troubleshooting
- Experience working with CI/CD, source control and DevOps practices
- Experience developing and maintaining semantic models using Power BI, SSAS or similar
- Hands-on experience with modern BI tools, preferably Power BI
- Experience working in an Agile development environment
- Hands-on experience with Microsoft Fabric
- Experience working with ERP or other large enterprise source systems
- Excellent problem solver
- Numerical and analytical mindset
- Organised, delivery focused and comfortable working on own initiative
- Collaborative and team orientated
- Desire and passion for continuous learning
- Comfortable with working to agile principles
- A clear communicator that is comfortable with working with all departments and levels of seniority
Skills
- ETL/ELT
- Data pipelines
- Cloud data platforms
- Data warehousing
- Dimensional modelling
- Kimball principles
- Data architecture
- SQL
- T-SQL
- Python
- PySpark
- API integration
- Database integration
- File integration
- Data quality
- Pipeline monitoring
- Troubleshooting
- CI/CD
- Source control
- DevOps practices
- Semantic models
- Power BI
- SSAS
- Microsoft Fabric
- ERP systems
Location
- London
- Remote
Work Type
- Hybrid
- Flexible working shifts
Experience Level
- Senior
Salary/Compensations
- Competitive salary
Benefits
- Annual performance-related bonus
- Generous staff discount and regular sample sales
- Generous pension scheme with 8.5% company contribution
- Option to buy an extra 5 days holiday annually
- Enhanced maternity and paternity packages
- Life insurance
- Private healthcare
- Cycle to work scheme
- Early finish Fridays
- Season ticket loan
- Additional benefits with long service
- 25 days annual leave plus Bank Holidays
- Annual Birthday vouchers
- EAP
- Social Events
About the Company
- Triple Wimbledon champion Fred Perry founded his brand in 1952. He was the son of a cotton spinner, who played and fought his way through, always with style – andnbsp;despite the establishment. Today, Fred Perry is a global community of over 370 employees, all inspired by the Laurel Wreath and what it represents
Equal Opportunity
- We actively welcome applications from people of all different backgrounds. Your CV will be submitted to hiring managers with all personal details hidden to ensure anonymity.