Senior Data Engineer

FRASERS GROUP FINANCIAL SERVICES

Clayton-le-Moors

On-site

GBP 60,000 - 90,000

Full time

4 days ago
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Job summary

Frasers Group Financial Services is seeking an experienced Data Engineer to design, build and maintain our data infrastructure. You will develop scalable data pipelines, ensure data integrity and security, and collaborate with cross-functional teams to enable data-driven decision making in a regulated retail environment.

Responsibilities include implementing data transformations, optimizing pipelines, and documenting processes while staying current with industry trends and best practices in data

Qualifications

  • Knowledge of enterprise data warehousing, data integration and 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 RBAC and Data Governance concepts.
  • Working knowledge of Python.
  • Experience with modelling data for PowerBI.
  • Knowledge of data modelling and architecture best practices.
  • Strong stakeholder management and prioritisation.
  • Ability to operate in fast-paced environments and deliver solutions.
  • Self-motivation with keen attention to detail.
  • Experience analysing data requirements and business processes.

Responsibilities

  • Design, build, and maintain scalable data pipelines for extracting, transforming, and loading data from multiple sources.
  • Diagnose and resolve data-related issues within data platforms and provide maintenance to data systems.
  • Collaborate with data team and stakeholders to understand requirements and deliver solutions.
  • Ensure compliance with data governance policies and security best practices.
  • Document data engineering processes and provide reports on system performance and data integrity.
  • Stay current with industry trends and propose improvements to processes and systems.

Skills

Data warehousing
Data pipelines
SQL
Data governance
RBAC
Stakeholder management
Problem solving
Cloud data platforms

Tools

Snowflake
DBT
PowerBI
Python

Job description

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.

We fear less and do more. Our people are forward thinkers who are driven to operate outside of 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.

Why join us?

Our purpose - we are elevating the lives of the many with access to the world's best brands and experiences

Frasers Group Financial Services is committed to delivering a positive colleague experience and to be able to make the most of it you need to immerse yourself into delivering on our principles:

  • Own it and back yourself - Own the basics, own your role and own the result
  • Think without limits - Think, think fast, think fearlessly
  • Be relevant - Relevant to our people, our partners and the planet
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.

The 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.

As FGFS is within a regulated environment any offer is subject to satisfactory background checks including criminal record check, credit check, and employment references.

Benefits

Reward, Recognition and Opportunities

Frasers Champion- Our employees are at the heart of our business and we ensure individuals are recognised every single month for their hard work. Frasers Champion is a peer nominated scheme where 8 winners will receive double their pay for a month where they have thought without limits, owned it or been relevant.

Frasers Festival - an event like no other! Our Frasers Festival is our celebration for Head Office and Retail Staff across the UK and Europe - hosting a MEGA brand village, guest speakers from the world's biggest brands, evening entertainment, the ultimate Frasers Fearless Fitness Challenge and much more.

CEO Sessions - Once a quarter we offer 20 employees the opportunity to attend our "CEO Sessions" ran by our CEO and leadership team. Employees have the chance to connect, network and submit questions around specific topics such as our Sports or Luxury business.

Retail Reconnect - In order to build the planets most admired and compelling brand ecosystem, all employees must understand our business, product and customers. Each financial year, Head Office employees will gain insights by spending two days in one of our stores or the Warehouse. The goal is to learn how the work you do impacts our teams on the frontline, and to bring ideas back to the office which will improve how we work.

Employee Welfare

Frasers Fit - Our Everlast Gyms Team are on a mission to make our workforce the best, and fittest on the planet! We run free gym classes for employees as well as discounted memberships to our clubs. Frasers Fit is our wellbeing programme which aims to support and improve colleagues Physical, Financial & Mental wellbeing. The app is accessible for every employee and includes training, nutrition and lifestyle advice- all completely free.

Retail Trust - We know that its not just about physical health, mental wellness is equally important which is why all of our employees get free access and support from the Retail Trust charity. This includes a 24 hour wellbeing helpline, wellness hub, counselling and financial/legal support.

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.
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