Senior Data & AI Platform Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Take ownership of the continuity, evolution, and AI-enablement of OrderYOYO’s cutting-edge data platform during a crucial scaling period.

• Lead hands-on architecture initiatives using Microsoft Fabric across lakehouse, warehouse, notebooks, semantic models, Git-driven delivery, and production governance.

• Spearhead the migration from outdated reporting and metric tools into a governed Fabric semantic layer, ensuring parity testing, stakeholder approval, and safe decommissioning.

• Manage and enhance data pipelines that encompass APIs, files, events, and operational stores.

• Establish orchestration, monitoring, alerting, data-quality checks, and incident response protocols.

• Leverage AI and automation to expedite ETL/ELT development, data mapping, documentation, testing, report generation, monitoring, and data-quality management.

• Design Power BI semantic models, DAX measures, and reusable metric definitions for leadership, finance, commercial, product, marketing, payments, and support reporting.

• Assist with CRM and operational data integrations, including outbound data feeds, identity mapping, schema mapping, reverse-ETL patterns, and ongoing monitoring.

• Develop reliable ingestion and modeling patterns for acquired businesses.

• Establish data-engineering standards that cover definitions of ready/done, code review, release discipline, documentation, runbooks, and platform change governance.

• Mentor engineers and analysts, translating business-critical data requirements into actionable technical solutions.

• Create automated reporting and insight-generation capabilities that minimize manual analysis and enhance decision-making speed.

• Provide senior technical leadership in data engineering delivery.

⛳️ Requirements

• Over 6 years of experience in modern data warehousing, analytics engineering, or data platform engineering, preferably within a SaaS, marketplace, fintech, payments, e-commerce, or multi-region B2B2C context.

• Strong expertise in Microsoft Fabric, or extensive experience with Azure Synapse / Databricks, with a proven ability to quickly specialize in Fabric.

• Proficient in SQL/T-SQL and possess strong skills in Python or PySpark.

• Proven track record of constructing maintainable ELT/ETL pipelines and analytical data models.

• Strong experience with Power BI and DAX, including semantic modeling, incremental refresh, performance tuning, model governance, and an awareness of capacity/cost implications.

• Experience in leading migrations from legacy to modern data platforms, ensuring metric parity, stakeholder validation, change control, and safe decommissioning.

• Familiarity with operating production data systems, including monitoring, alert design, incident triage, root-cause analysis, data-quality checks, data lineage, and runbooks.

• Comfortable with Git-based data engineering workflows, including pull requests, release discipline, and standards for notebooks, pipelines, and semantic model changes.

• Practical knowledge of using AI or automation to enhance data engineering, reporting, documentation, testing, monitoring, migration, or developer productivity.

• Highly desirable experience in payments, settlement, reconciliation, fees, chargebacks, merchant reporting, or finance-domain data.

• Highly desirable experience with CRM data flows and reverse-ETL patterns, particularly with HubSpot, Salesforce, Zendesk, or similar platforms.

• Highly desirable experience in M&A or data integrations from acquired companies.

• Highly desirable experience in NoSQL-to-analytics modeling.

• Highly desirable experience with GA4, BigQuery export, Google Ads / SEM feeds, Segment, or other event and marketing analytics sources.

• Highly desirable experience with Azure OpenAI, LLMs, RAG, AI agents, prompt/version management, or AI-assisted development workflows.

• Highly desirable experience in AI-generated reporting, natural-language analytics, business copilots, automated insight generation, or merchant/customer intelligence tools.

• Highly desirable experience in responsible AI and governance, including RBAC, PII handling, audit logs, human approval flows, explainability, and GDPR-compliant design.

🏝️ Benefits

• Fully remote work arrangement.