##### Senior Data Platform Engineer

At OrderYOYO, data powers executive reporting, payments, finance, merchant insights, product analytics, AI, and M\&A integration. This role will shape the governed data foundation that supports our next stage of scale.

*Competitive salary, growing international company, and growth opportunities.*

##### Role mission

Own the continuity and evolution of OrderYOYO's modern data platform during a critical scaling phase. You will lead the migration from legacy reporting and metric tooling into a governed Microsoft Fabric platform, keep business-critical BI and semantic models reliable, improve data pipeline stability and monitoring, support CRM data integration, and provide senior technical leadership for data engineering delivery.

##### Core responsibilities

• Lead hands-on Microsoft Fabric architecture across lakehouse, warehouse, notebooks, semantic models, Git-backed delivery and production governance.
• Drive migration from legacy reporting and metric tooling into a governed Fabric semantic layer, including parity testing, stakeholder sign-off and safe decommissioning.
• Own and improve data pipelines across APIs, files, events and operational stores; establish robust orchestration, monitoring, alerting, data-quality checks and incident response.
• Design high-quality Power BI semantic models, DAX measures and reusable metric definitions for leadership, finance, commercial, product, marketing, payments and support reporting.
• Support CRM and operational data integrations, including outbound data feeds, identity mapping, schema mapping, reverse-ETL patterns and monitoring.
• Create reliable ingestion and modelling patterns for acquired businesses, so future integrations are repeatable, auditable and faster to execute.
• Set data-engineering standards: definition of ready/done, code review, release discipline, documentation, runbooks and platform change governance.
• Mentor engineers and analysts and translate business-critical data needs into pragmatic technical delivery.

##### Must-have requirements

• 6 years in modern data warehousing, analytics engineering or data platform engineering, ideally in a SaaS, marketplace, fintech, payments, e-commerce or multi-region B2B2C environment.
• Strong Microsoft Fabric capability, or deep Azure Synapse / Databricks experience with clear ability to specialise quickly in Fabric.
• Expert SQL/T-SQL plus strong Python or PySpark, with a track record of building maintainable ELT/ETL pipelines and analytical data models.
• Strong Power BI and DAX experience, including semantic modelling, incremental refresh, performance tuning, model governance and capacity/cost awareness.
• Experience leading legacy-to-modern data platform migrations, including metric parity, stakeholder validation, change control and safe decommissioning.
• Experience operating production data systems: monitoring, alert design, incident triage, root-cause analysis, data-quality checks, lineage and runbooks.
• Comfortable with Git-based data engineering workflows, pull requests, release discipline and standards for notebooks, pipelines and semantic model changes.

##### Strong-to-have experience

• Payments, settlement, reconciliation, fees, chargebacks, merchant reporting or finance-domain data.
• CRM-side data flows and reverse-ETL patterns, especially HubSpot, Salesforce, Zendesk or similar platforms.
• M\&A or acquired-company data integrations: schema discovery, file/API ingestion, data profiling, master-data mapping, migration QA and reporting continuity.
• NoSQL-to-analytics modelling, including change-feed patterns from operational databases into lakehouse or warehouse structures.
• GA4, BigQuery export, Google Ads / SEM feeds, Segment or other event and marketing analytics sources.
• Practical use of AI-assisted engineering tools to improve migration speed, documentation, testing or developer productivity.

Apply now if you fulfill the above criteria, we look forward to hearing from you.