Data Engineer

ABOUT MESHKI

MESHKI is a globally recognised fashion brand, celebrated for its dedication to empowerment, inclusivity, and sustainability. With the vision to be the global leader in accessible luxury and championing the empowerment of people worldwide through an unmatched shopping experience, MESHKI prides itself on being a brand that inspires and engages, fostering a culture of social change and community impact.

BENEFITS

Employee Perks: A generous employee discount and monthly clothing allowance, bi-weekly breakfasts, access to MESHKI thrive days, monthly culture incentives, MESHKI wellness program and flexible working arrangements to support a healthy work-life balance.

Personal and Professional Development: We invest in your growth with access to training programs, workshops and global conferences, free access to Headspace and Masterclass.

Career Advancement: Clear pathways for career advancement within MESHKI, supporting your professional journey every step of the way.

COMPANY CULTURE

We cherish a culture at MESHKI where every individual feels respected, valued and is empowered with the tools, resources and support to contribute to the collective goal we all share, whilst advancing their career goals and ambitions. At MESHKI your future is defined by your ambition, your dedication and integrity; if you work hard, and contribute to the empowering culture that surrounds you through collaboration, communication, a humble attitude to learning and integrity and gratitude and professionalism, you’ll achieve any goal you set your mind to.

ABOUT THE ROLE

As MESHKI’s first Data Engineer, you’ll play a hands-on role designing, building and supporting our data pipelines, BI environment and reporting infrastructure that power decisions across the business. This is an opportunity to grow your engineering career as our capability scales from foundational platform ownership today towards more advanced cloud data warehousing and AI-enabled analytics as our team and tech stack mature.

WHAT YOU’LL BE DOING

• Design, build and maintain reliable ETL/ELT data pipelines that connect our core systems including Shopify, warehouse and logistics platforms, email/CRM and our ERP – into our BI environment
• Own BAU pipeline health including monitoring data flows, troubleshooting failures, and resolving data quality issues before they impact the business
• Deliver both project-based initiatives and day-to-day support, ensuring reliable and high-quality data and reporting solutions.
• Apply data governance, quality and access-control best practices across our data ecosystem

WHAT YOU’LL NEED TO BRING

• Tertiary qualification in Information Technology, Computer Science, Data Engineering, or a related discipline, or equivalent practical experience
• Demonstrated experience building and maintaining ETL/ELT data pipelines
• Strong SQL skills, and working proficiency in Python for data transformation and automation
• Experience with a modern BI or data transformation platform (e.g. Domo, Power BI, Looker or similar)
• Confidence troubleshooting pipeline and data quality issues independently, and resolving them with minimal oversight
• Ability to balance project delivery with BAU support in a production environment
• Solid understanding of data integration, reporting architecture and dimensional data modelling
• Clear communication skills, with the ability to translate technical concepts for non-technical stakeholders
• Familiarity with NetSuite is a plus, and equivalents such as Dynamics NAV or SAP are also bonus
• Experience working with ecommerce or retail data (desirable)

Please be advised that we are not engaging recruitment agencies for this hire and will not consider any unsolicited resumes.