Senior Data Platform Engineer

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

📋 Description

• Take charge of the continuity and advancement of OrderYOYO’s contemporary data platform during a pivotal scaling period.

• Direct hands-on architecture using Microsoft Fabric, covering lakehouse, warehouse, notebooks, semantic models, Git-backed delivery, and production governance.

• Facilitate the transition from outdated reporting and metric tools to a governed Fabric semantic layer, which includes parity testing, stakeholder approval, and secure decommissioning.

• Manage and enhance data pipelines across APIs, files, events, and operational databases; set up robust orchestration, monitoring, alerting, data-quality checks, and incident response protocols.

• Develop high-quality 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, such as outbound data feeds, identity mapping, schema mapping, reverse-ETL patterns, and monitoring.

• Establish reliable ingestion and modeling patterns for acquired businesses, ensuring that future integrations are repeatable, auditable, and executed efficiently.

• Define data engineering standards, including definitions of ready/done, code review processes, release discipline, documentation, runbooks, and platform change governance.

• Mentor engineers and analysts, transforming business-critical data requirements into practical technical solutions.

⛳️ Requirements

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

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

• Advanced SQL/T-SQL skills alongside strong Python or PySpark knowledge, with a demonstrated history of building maintainable ELT/ETL pipelines and analytical data models.

• Significant experience with Power BI and DAX, encompassing semantic modeling, incremental refresh, performance optimization, model governance, and cost/capacity awareness.

• Proven experience leading migrations from legacy to modern data platforms, including metric parity, stakeholder validation, change control, and safe decommissioning.

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

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

🏝️ Benefits

• Competitive salary

• Growing international company

• Growth opportunities