Senior Data & AI Platform Engineer

🔥 3 minutes ago

🇩🇪 Germany – Remote

💵 £80k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

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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

• Design, build and operate production-grade data solutions in Microsoft Fabric across Lakehouse, Warehouse, notebooks, pipelines and related platform capabilities • Build and run production pipelines in Fabric, Python and PySpark • Design ingestion and transformation patterns across multiple source systems, databases and business domains • Manage Fabric capacity and cost, and retire redundant legacy layers • Lead migrations from legacy to modern platforms with metric parity, stakeholder sign-off, change control and safe decommissioning • Run the platform in production through monitoring, alerting, incident triage, root-cause analysis, data-quality checks, lineage and runbooks • Diagnose and resolve production issues across SQL, Spark, pipelines and semantic models • Support and evolve governed semantic models and reusable metric definitions with analytics and business stakeholders • Build AI into the platform and delivery using RAG, Azure OpenAI and agents, with prompt and version management • Deliver applied data science such as churn, recommendations, personalisation, fraud or risk models, and show the results • Work with executives, Finance, Product and engineering to make platform and delivery decisions

🎯 Requirements

• 6+ years of relevant data experience, including substantial recent hands-on data engineering or data-platform engineering responsibility in production environments • Demonstrated ability to independently take a data-engineering problem from requirements and technical design through implementation, production deployment, monitoring and ongoing operation • Deep hands-on Microsoft Fabric, or strong Synapse, Databricks or Delta experience with a clear path to Fabric • Strong understanding of lakehouse architecture and Delta-based data engineering, including partitioning, schema evolution, file optimisation and performance considerations • Expert SQL and T-SQL, including complex modelling and tuning • Production-grade Python or PySpark • Strong experience designing and implementing incremental data ingestion patterns, including approaches such as CDC, change tracking or watermarks, with reliable merge/upsert, replay and idempotent processing • Experience with analytical and semantic data modelling, ideally with Power BI/Fabric semantic models, including performance optimisation, governance and reusable business metrics • Working knowledge of Azure platform fundamentals including Azure SQL, ADLS/OneLake, Entra ID, managed identities, RBAC and Key Vault • A track record of leading a legacy-to-modern migration • Real, hands-on AI engineering beyond out-of-the-box Copilot • Concrete data science or ML models you delivered, with results • Strong Power BI/Fabric experience, including Direct Lake, DAX, semantic model performance tuning, incremental refresh and capacity considerations • Infrastructure-as-Code experience with Terraform, Bicep or equivalent tooling • Data platform experience in SaaS, marketplace, fintech, payments, e-commerce or multi-region businesses

🏖️ Benefits

• Quarterly team gatherings in one of our global offices • A remote role • Ownership of a business-critical data and AI platform • A collaborative, international engineering team

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