Senior Data & AI Platform Engineer

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

📋 Description

• Take ownership of the continuity, advancement, and AI-enablement of OrderYOYO's cutting-edge data platform during a pivotal scaling phase.

• Lead hands-on architecture of Microsoft Fabric, encompassing lakehouse, warehouse, notebooks, semantic models, Git-backed delivery, and governance in production.

• Spearhead the transition from outdated reporting and metric tools to a governed Fabric semantic layer, which includes parity testing, stakeholder approval, and secure decommissioning.

• Oversee and enhance data pipelines spanning APIs, files, events, and operational stores; implement orchestration, monitoring, alerting, data-quality checks, and incident response.

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

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

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

• Develop reliable ingestion and modeling patterns for acquired businesses, ensuring future integrations are repeatable, auditable, and swift to execute.

• Establish data-engineering standards for defining readiness/done, code reviews, release discipline, documentation, runbooks, and platform change governance.

• Mentor engineers and analysts while translating critical business data needs into actionable technical solutions.

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

⛳️ 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 setting.

• Proficient in Microsoft Fabric or possess extensive experience with Azure Synapse / Databricks, demonstrating a clear ability to quickly specialize in Fabric.

• Expertise in SQL/T-SQL, along with strong Python or PySpark skills, complemented by a proven history of building maintainable ELT/ETL pipelines and analytical data models.

• Extensive experience with Power BI and DAX, covering semantic modeling, incremental refresh, performance tuning, model governance, and awareness of capacity/cost.

• Proven track record in leading migrations from legacy to modern data platforms, including metric parity, stakeholder validation, change control, and secure decommissioning.

• Familiarity with 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, including pull requests, adherence to release discipline, and standards for notebooks, pipelines, and semantic model changes.

• Practical experience in applying 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-related data.

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

• Highly desirable experience in M&A or data integrations from acquired companies, including schema discovery, file/API ingestion, data profiling, master-data mapping, migration QA, and reporting continuity.

• Highly desirable experience with NoSQL-to-analytics modeling, particularly with change-feed patterns from operational databases into lakehouse or warehouse structures.

• 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 creating 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 workflows, explainability, and GDPR-conscious design.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and career advancement.

• Flexible working hours and a supportive remote work environment.

• Comprehensive health and wellness benefits.

• Engaging company culture and team-building activities.