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Tech Stack
Tools & technologiesAzureETLPySparkPythonSQL
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.
- Design high-quality Power BI semantic models, DAX measures and reusable metric definitions for leadership, finance, commercial, product, marketing, payments and support reporting.
- Create reliable ingestion and modelling patterns for acquired businesses, so future integrations are repeatable, auditable and faster to execute.
- 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
data warehousinganalytics engineeringdata platform engineeringMicrosoft FabricAzure SynapseDatabricksSQLT-SQLPythonPySpark
Soft Skills
technical leadershipmentoringstakeholder validationincident triageroot-cause analysis