Data Engineer

Posted 2 hours 22 minutes ago by OrderYOYO A/S

Permanent
Full Time
Factory Jobs
Lancashire, Manchester, United Kingdom, M21 0
Job Description
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.

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