About Frasers Group
At Frasers Group we're rethinking retail. Through digital innovation and unique customer experiences, we're serving our consumers with the world's best sports, premium and luxury brands globally. As a leader in the industry, we're elevating the retail experience for our consumers providing flexible and convenient ways to pay across our collection of established brands, including Studio, Sports Direct, FLANNELS, USC, Frasers, and GAME. Frasers Group Financial Services is the next chapter of elevation for the Frasers Group.
The Role
To support the design, development, and maintenance of our data infrastructure. The role involves ensuring the efficient, reliable, and secure collection, storage, and processing of data, which is critical for enabling data-driven decision-making within FGFS. To work collaboratively with cross-functional teams to implement data solutions, optimise data pipelines, and contribute to the overall data strategy, ensuring data integrity, security, and accessibility across FGFS.
Responsibilities
•Data Pipeline Development: Engage in the design, build, and maintenance of scalable and efficient data pipelines for extracting, transforming, and loading data from multiple sources.
•Troubleshooting and Support: Diagnose and resolve data-related issues within the platform, providing support and maintenance to data systems and wider teams.
•Collaboration: Work closely with the data team, spoke analysts, and other key stakeholders to understand data requirements and deliver strategic and operational solutions that meet business needs.
•Compliance and Security: Ensure compliance with data governance policies, regulatory requirements, and data security best practices.
•Documentation and Reporting: Maintain comprehensive documentation of data engineering processes and provide regular updates and reports on system performance and data integrity.
•Continuous Improvement: Stay current with industry trends, emerging technologies, and best practices in data engineering, proposing, and implementing improvements to existing processes and systems.
Requirements
•Knowledge of enterprise data warehousing, data integration and Business Intelligence (BI) reporting.
•Experience with cloud-based data warehouse solutions, e.g. Snowflake and optimisations.
•Significant SQL experience.
•Experience and knowledge of transformation tool DBT.
•Understanding of Role Based Access Controls and Data Governance concepts.
•Working knowledge of Python.
•Experience with modelling data for Microsoft PowerBI.
•Knowledge of best practice for data modelling and architecture.
•Good stakeholder management skills and the ability to prioritise workload.
•Excellent critical thinking and solution creation skills.
•Ability to deliver in a fast-paced and dynamic environment.
•Ability to engage, challenge and influence others to achieve productive solutions.
•Self-motivated with keen attention to detail.
•Experience of analysing data requirements and business processes.
As FGFS is within a regulated environment, any offer is subject to satisfactory background checks including criminal record check, credit check, and employment references.
What's next?
Our Recruitment Team will be reviewing applications and all candidates will receive a response, whether successful or unsuccessful. Shortlisted applicants may be asked to confirm a few key details before being booked in for a first stage interview with the Recruiter — this will be behaviourally focussed and centred around how you align with the Culture and Values. If successful, we anticipate two further interview stages with the Hiring Manager/wider team which will be more technically focussed and could include a presentation/task to see your skills in action.
