Data Engineer

The Mission

Scale OrderYOYO’s data ecosystem into a true single source of truth that supports executive reporting, merchant insights, finance automation, and AI/ML use cases — built on our Azure-centric stack and evolving toward a Lakehouse and semantic layer direction.

Your Core Impact

• Design the Lakehouse: Build and own our unified data lake foundations, focusing on scalable ingestion, lifecycle management, and optimised access patterns.

• Build the Semantic Layer: Implement “metrics-as-code” so KPIs like GMV and CAC are defined once and trusted everywhere.

• Engineer Robust Pipelines: Develop high-availability ETL/ELT flows across microservices, PSP/payment gateways, and CRM/Finance tools.

• Enable Product Innovation: Partner with AI/ML engineers to deliver clean, feature-grade datasets powering merchant-facing insight products.

• Operational Excellence: Retire redundant layers, optimise Azure costs, and implement rigorous data quality SLAs and lineage.

Who We Are

At OrderYOYO, company culture comes first.

We create a positive, inclusive environment where people are trusted to take ownership and do their best work. Personal development is central to how we operate — engineers are encouraged to grow technically, take responsibility, and help shape how our platforms evolve.

Passion · Action · Compassion · One Team

We help restaurants succeed online by providing branded websites, mobile apps, and tailored marketing solutions — giving them full control of their business and removing high third-party commission fees.

Who You Are

The Technical Essentials

• The Azure Specialist: Deep experience with Azure Data Lake, Azure SQL, Data Factory, and Power BI.

• The DataOps & DevOps Advocate: Proficient with Git, CI/CD (Azure DevOps/GitHub Actions), and Infrastructure as Code (Terraform/Bicep).

• The Agile Practitioner: Comfortable working in sprints; “done” means tested, documented, and deployed.

• The Modeler: Strong SQL and dimensional modelling expertise (facts/dimensions, behavioural/event data).

• The Coder: Proficient in Python for complex transformations, automation, and tooling.

Nice to Have

• Experience with dbt or similar semantic layer tooling

• FinTech / Payments background (reconciliation, PSP datasets)

• Familiarity with event-driven architectures and streaming data