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OrderYOYO

Senior Data Platform Engineer

OrderYOYO

Senior Data Platform Engineer at OrderYOYO shaping the governed data foundation during scaling phase. Leading migration and providing technical leadership in data engineering.

Posted 5/13/2026full-timeRemote • 🇳🇱 NetherlandsSeniorWebsite

Tech Stack

Tools & technologies
AzureETLPySparkPythonSQL

About the role

Key responsibilities & impact
  • Own the continuity and evolution of OrderYOYO’s modern data platform during a critical scaling phase.
  • 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.
  • Provide senior technical leadership for data engineering delivery.
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • Competitive salary
  • Growing international company
  • Growth opportunities

ATS Keywords

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Hard Skills & Tools
Microsoft FabricAzure SynapseDatabricksSQLT-SQLPythonPySparkPower BIDAXELT
Soft Skills
technical leadershipmentoringstakeholder validationincident responsechange controldocumentationcommunicationorganizational skillsproblem-solvingcollaboration