Who are we?
For over 30 years, we’ve travelled, we’ve laughed, we’ve grown. We believe life is for living and more fun with those we love. We are Made for Life.
Our mission statement:
Crafting clothes for life’s everyday adventures. Today, tomorrow and always.
Our Product formula:
Considered style. Trusted Quality. B Corp certified.
Equality and inclusion isn’t an aspiration but the standard. We promote and drive equality within our workforce to ignite an inclusive foundation for us all to build from and truly connect with our customers, colleagues, and communities alike. You play a key part in creating an environment free from prejudice, racism, sexism, harassment, bullying and any other form of marginalisation in our workplaces.
Role Summary
FatFace is undergoing a major transformation in data architecture and integration, following a large-scale replatforming. We are seeking a skilled Data Engineer with a strong backend and ETL integration background to support our evolving data infrastructure. This role will involve leveraging Python and SQL within an Azure-driven ecosystem to enhance our data solutions.
The ideal candidate will have a strong technical background, as well as excellent communication skills to engage with both technical and non-technical stakeholders.
Role Responsibilities
* Support backend data processes, including ETL, data cleansing, and warehousing.
* Work with Azure Synapse Analytics, Data Lakes, SQL Data Warehouses, Fabric, and Data Factory.
* Enhance existing SQL-based solutions while contributing to the organisation's growing Python stack.
* Validate and quality-check all outputs before delivering data to stakeholders, ensuring high levels of accuracy and reliability.
* Collaborate with both internal and external stakeholders to gather requirements, convey technical information to non-technical audiences, and deliver solutions in a clear and concise manner.
* Liaise with team members and management to ensure BI solutions are aligned with overall business goals and timelines, always focusing on where the value add is.
* Deliver data projects within realistic timeframes while managing expectations, maintaining a professional, engaging, and stakeholder-focused demeanor throughout all interactions.
* Align self to the company's social and environmental mission and champion any actions that you can directly impact at all times.
Skills and Experience
* Experience in data engineering, with a strong focus on SQL and Python.
* Hands-on experience with Azure data services, particularly Synapse Analytics.
* Strong understanding of ETL, data cleansing, and warehousing principles.
* Ability to work independently and take ownership of data projects.
* Strong stakeholder management skills capable of translating business needs into technical solutions.
* Retail or Finance industry experience is beneficial but not mandatory.
Additional Skills
Experience with D365 and Azure Fabric is a nice to have.
FatFace Benefits:
* 25 days holiday plus bank holidays
* Perkbox our online platform to use from day one (this includes amazing online discounts, home workouts, wellbeing content, popular brand discounts etc.)
* THRIVE Our learning management system- access from day one with 1000s of pieces of learning
* Dental Insurance (employee funded)
* Pension scheme
* EAP support around the clock- UNUM/Retail Trust/Fashion Textiles Support
* Critical illness/Death in service for Salaried staff
* Sick pay allowances
* O2 phone discount
* Eye Tests/contributions to glasses
* Sabbatical leave in line with service
* Enhanced Family Friendly policies i.e. Maternity Leave
* Refer a friend scheme
Growth and Development Opportunities:
* Join a tight-knit team of fun, creative, and collaborative teammates with the autonomy to build the best solutions and drive data as an asset culture adoption.
* Exposure to a greenfield site in cloud BI and data management architecture with scope to leverage cutting-edge technology to develop solutions.
* Opportunities to expose meaningful data and insight to help the business make digital-first decisions and drive profit.
* Ongoing exposure to new and exciting technology platforms in an ever-changing data landscape.
* Experience in working with Microsoft Azure Cloud Databases, ETLs, and DevOps.
* Opportunity to continue professional development through training programs.
* Exposure to best practices and gold standards for development.
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