Data Engineer at FitFlop

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

27 Jun, 26

Salary

70000.0

Posted On

29 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Python, Snowflake, Google Big Query, Github, Bitbucket, Data Modelling, Data Transformation, Data Validation, Power Query, Excel, NetSuite, Microsoft Dynamics Navision, Communication, Problem-Solving, Analytical Skills

Industry

Retail Apparel and Fashion

Description

We are seeking a highly capable and driven Data Engineer to play a central role in FitFlop’s data transformation journey. This position will focus on designing, building, and optimising data pipelines and integrations to support our migration to Snowflake, implementation of NetSuite, and broader digital infrastructure modernisation. The ideal candidate will bring strong hands-on technical skills, experience with modern data engineering tools, and the ability to partner with business stakeholders to deliver scalable, reliable, and trusted data solutions. The Responsibilities: Migrate, automate and optimise existing Smartsheet and Excel processes into robust, auditable cloud-based pipelines by using Power Query. Design, develop and maintain scalable, reliable data pipelines between Tertiary Systems and Snowflake to integrate product, vendor, customer, and financial data from NetSuite and other systems. Build and optimise Snowflake queries, views, and tables to enable real-time reporting and data consumption across departments (Merchandising, Operation, Product, Finance). Build and maintain a Snowflake data dictionary to support documentation, clarity, and cross-team collaboration on data definitions and ownership. Collaborate with BI Analysts and stakeholders to identify data needs and deliver innovative solutions that support business decisions. Establish data validation and quality control layers to ensure trusted downstream usage of data. Support broader data ecosystem architecture, bridging operational systems and the data warehouse. Solve complex business requirements using the features and capabilities of the enhanced date warehouse such as ML/AI, Flow, and Cortex. Key Projects You’ll Contribute To: NetSuite and Snowflake integration. Legacy Excel to Cloud-based pipeline transition. Automation of data workflows for Product, Marketing, Supply Chain, and Customer Service. Data validation and governance to support business-critical decision-making. Future system integrations (PIM, PLM, eCommerce). The Person: Proven experience with data engineering tools and languages (e.g., SQL, Python, Snowflake, Google Big Query). The ideal candidate will have hands‑on experience working with modern code repositories such as GitHub, Bitbucket, or similar version control platforms. Solid understanding of data modelling, transformation, and validation best practices. Experience automating and optimising data pipelines and workflows. Strong Power Query and Excel expertise, especially in business automation scenarios. Familiarity with ERP systems (preferably Microsoft Dynamics Navision, NetSuite). Proven ability to translate business requirements into data solutions. Cross-functional communication skills – able to work with technical and non-technical stakeholders. Strong problem-solving and analytical skills. Passion for process improvement and data automation. A problem-solver who thrives in dynamic, changing environments. Strong ownership mentality with the ability to work independently on complex problems. Collaborative team player who can mentor, document, and share knowledge. The Benefits: 👟 Product Allowance ⏰ Hybrid and flexible working hours (3 days per week in the office) ☀️ Summer Fridays (6 ½ days in July and August on Fridays) 🎂 A day off for your Birthday 🌴 25 days holiday + Bank Holidays 🗺️ Work from anywhere for 2 weeks 🚼️ Workplace Nursery (salary sacrifice scheme to save money on your nursery fees) 💆‍♀️ Wellbeing Program – Retail Trust, Sanctus Coaching and Calm App 📚 Career development allowance (personal allowance to use on career development) 🏥 Private health care and or dental care (provided by AXA and DenPlan) 🤩 Socials organised by Wellbeing and Feel Good group ➡️ Check out our careers page to learn more! Equal Opportunities: FitFlop is an equal opportunities employer. We are committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and supported. We welcome applications from people of all backgrounds, regardless of age, gender identity, sexual orientation, disability, neurodivergence, ethnicity, religion or belief, or any other characteristic protected by law. We actively encourage neurodivergent candidates and individuals with disabilities to apply. If you require any reasonable adjustments during the application or interview process, please let us know. We are committed to providing an accessible and supportive recruitment experience.

Responsibilities

The Data Engineer will focus on designing, building, and optimizing data pipelines, including migrating and automating processes from Smartsheet and Excel into cloud-based pipelines using Power Query. Key tasks involve developing scalable data pipelines to integrate data from NetSuite and other systems into Snowflake for reporting and consumption across various departments.