Data engineer

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  "active_status": "active"
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  "location": {
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{
  "id": "2651455",
  "name": "Data engineer",
  "office": "Copenhagen",
  "keywords": [],
  "schedule": "full-time",
  "createdAt": "2026-05-29T09:30:49+00:00",
  "seniority": "experienced",
  "department": "Tech",
  "occupation": "usability_and_information_architecture",
  "subcompany": "FLATPAY ApS",
  "employmentType": "permanent",
  "jobDescriptions": [
    {
      "name": "About the job",
      "value": "You will be joining a growing AI team with 10 other members and a core mission to turn data into measurable business value. Your primary role is to build and operate reliable data pipelines in a young scaleup on track for 300% YoY growth.<br><br>Your work will support projects ranging from AI voice agents and smart scheduling systems to large-scale data products serving 100,000+ merchants."
    },
    {
      "name": "What you'll do",
      "value": "<ul><li>Design, build, and own batch and streaming pipelines in Databricks (PySpark & Lakebase).</li><li>Model data for analytics and ML; maintain clean, well-documented tables in Unity Catalog.</li><li>Work with external APIs and internal teams to integrate new data sources</li><li>Implement data quality, lineage, and observability.</li><li>Optimize cost and performance </li><li>Partner with data scientists and product teams to deliver features.</li><li>Automate deployment and testing; keep pipelines simple and maintainable using Databricks workflows.</li></ul>"
    },
    {
      "name": "Who you are",
      "value": "<ul><li>3+ years of experience as a data engineer.</li><li>Experience building production-grade data pipelines with PySpark and SQL.</li><li>Pragmatic and flexible mindset. You apply best practices when they help, bend them when they don’t.</li><li>Solid understanding of ETL/ELT design, data modelling, and partitioning strategies.</li><li>Databricks experience or equivalent</li><li>AWS familiarity (S3, IAM)</li></ul>"
    },
    {
      "name": "Why Flatpay?",
      "value": "<ul><li><strong>Impact</strong>: Ship data solutions creating real impact in one of Europe’s fastest growing companies.</li><li><strong>Meaningful products:</strong> Build pipelines and data infrastructure that support merchants and colleagues make better decisions, act on insights, and improve workflows.</li><li><strong>Competitive</strong> <strong>salary</strong></li><li><strong>Vacation</strong>: 6 weeks paid</li><li><strong>Relaxed atmosphere</strong> with (optional) social events such as minigolf evenings, and periodic hackathons & company parties in exciting off-site locations.</li><li><strong>Flat structure</strong> and a strong action-over-process culture</li><li>Co-workers with a passion for data engineering and AI, and a passion for sharing knowledge daily.</li><li><strong>Pension and health insurance</strong>, as well as almost unlimited company merch</li></ul>"
    }
  ],
  "occupationCategory": "it_software",
  "recruitingCategory": "Denmark"
}