Data Infrastructure Architect

2 weeks ago


Clayton le Moors, Lancashire, United Kingdom Frasers Group Full time

About Frasers Group Financial Services

Frasers Group Financial Services is redefining retail through digital innovation and unique customer experiences, serving consumers with the world's best sports, premium, and luxury brands globally. We are a leader in the industry, elevating the retail experience for our customers by providing flexible and convenient ways to pay across our collection of established brands.

We fear less and do more. Our people are forward thinkers who are driven to operate outside their comfort zone to change the future of retail, embracing challenges along the way. The potential to elevate your career is massive, the experience unrivalled.

Your Role: Data Engineer

As a Data Engineer, you will play a vital role in designing, developing, and maintaining our data infrastructure. You will ensure the efficient, reliable, and secure collection, storage, and processing of data, which is critical for enabling data-driven decision-making within FGFS.

You will collaborate closely with cross-functional teams to implement data solutions, optimize data pipelines, and contribute to the overall data strategy. Your responsibilities will encompass ensuring data integrity, security, and accessibility across FGFS.

What You'll Do:
  • Data Pipeline Development: Support 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, 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.
What You'll Bring:

• Knowledge of enterprise data warehousing, data integration, and Business Intelligence (BI) reporting.

• Experience with cloud-based data warehouse solutions, e.g., Snowflake.

• Significant SQL experience.

Desirable Skills:
  • Working knowledge of Python or other scripting languages
  • Experience with big data technologies such as Hadoop or Spark
  • Familiarity with cloud computing platforms (e.g., AWS, Azure)
  • Understanding of data modeling and schema design


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