Senior Data & AI Platform Engineer

🔥 3 hours ago

🇩🇰 Denmark – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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OrderYOYO

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🍽️ Food & Beverage

📣 Marketing

📦 Logistics

💰 $6M Post-IPO Equity - OrderYoyo on 2022-03

Food & Beverage • Marketing • Logistics

OrderYOYO is an online ordering and marketing platform for restaurants and takeaways that provides bespoke websites and mobile apps, a cloud POS, integrated payment processing (YOYOPay), and targeted marketing services (email, SMS, app push, Google Ads, social media). It offers features like loyalty programs, reservations, analytics via a My Business app, and dedicated support to help restaurants capture direct orders, reduce commission fees, and grow customer retention. The company positions itself as a Google Partner and serves thousands of restaurants with tailored digital storefronts and marketing campaigns.

📋 Description

• Own the continuity, evolution and AI-enablement of OrderYOYO’s modern data platform during a critical scaling phase • 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 orchestration, monitoring, alerting, data-quality checks and incident response • Use AI and automation to accelerate 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 • 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 for 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 • Build automated reporting and insight-generation capabilities that reduce manual analysis and improve decision speed

🎯 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 • Practical experience using AI or automation to improve data engineering, reporting, documentation, testing, monitoring, migration or developer productivity • Strong-to-have experience with payments, settlement, reconciliation, fees, chargebacks, merchant reporting or finance-domain data • Strong-to-have experience with CRM-side data flows and reverse-ETL patterns, especially HubSpot, Salesforce, Zendesk or similar platforms • Strong-to-have experience with M&A or acquired-company data integrations, including schema discovery, file/API ingestion, data profiling, master-data mapping, migration QA and reporting continuity • Strong-to-have experience with NoSQL-to-analytics modelling, including change-feed patterns from operational databases into lakehouse or warehouse structures • Strong-to-have experience with GA4, BigQuery export, Google Ads / SEM feeds, Segment or other event and marketing analytics sources • Strong-to-have experience with Azure OpenAI, LLMs, RAG, AI agents, prompt/version management or AI-assisted development workflows • Strong-to-have experience building AI-generated reporting, natural-language analytics, business copilots, automated insight generation or merchant/customer intelligence tools • Strong-to-have responsible AI and governance experience, including RBAC, PII handling, audit logs, human approval flows, explainability and GDPR-conscious design