Data Engineer

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

Do you have experience in Terraform?, * 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., * Experience with dbt or similar semantic layer tooling
• FinTech / Payments background (reconciliation, PSP datasets)
• Familiarity with event-driven architectures and streaming data

At OrderYOYO, company culture comes first.