Senior Data Engineer

{
  "content_hash": "7e2f742976b0b43b8be529939a4e09dec9d17ffe5dd8914728c3ca039005d6ea",
  "source_hash": "4f91c1e71494a2f9a6ff8658669eeb1324235ceb4facd6afa9ed6d4593f46846",
  "last_changed_at": "2026-05-30T05:42:40.898Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Wrocław, Poland",
    "city": "Wrocław",
    "region": null,
    "country": "Poland",
    "is_remote": true,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T20:38:42.347Z",
  "launch_scope": {
    "reason": "bamboohr_production_catalog",
    "included": true,
    "location": {
      "raw": "Wrocław, Poland",
      "city": "Wrocław",
      "region": null,
      "country": "Poland",
      "is_remote": true,
      "confidence": 0.8
    },
    "countries": [
      "Poland"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}

{}

{
  "list_job": {
    "id": "117",
    "isRemote": null,
    "location": {
      "city": null,
      "state": null
    },
    "atsLocation": {
      "city": "Wrocław",
      "state": null,
      "country": "Poland",
      "province": null
    },
    "departmentId": "18586",
    "locationType": "1",
    "jobOpeningName": "Senior Data Engineer",
    "departmentLabel": "Engineering",
    "employmentStatusLabel": "Contractor"
  },
  "detail_errors": [],
  "detail_job_opening": {
    "location": {
      "city": null,
      "state": null,
      "postalCode": null,
      "addressCountry": null
    },
    "datePosted": "2026-03-16",
    "atsLocation": {
      "city": "Wrocław",
      "state": null,
      "country": "Poland",
      "countryId": "171"
    },
    "description": "<p><span style=\"font-family: Inter, sans-serif; font-size: 14pt; font-weight: bold\">About PeakData</span></p>\n<p><br>PeakData provides AI-powered market intelligence that helps pharmaceutical companies<br>optimize drug launch execution and resource allocation. Our platform delivers actionable<br>insights on healthcare professionals (HCPs) and healthcare organizations (HCOs), giving<br>commercial leaders data-driven tools for decision-making.</p>\n<p><br><span style=\"font-size: 14pt; font-weight: bold\">The Team</span></p>\n<p><br>The engineering team in Poland is structured around three areas: Data Science (2 people),<br>Backend/Data Engineering (4 people), and Frontend (2 people). You'd be joining the<br>backend/data engineering team.</p>\n<p><br>You'll work closely with the DS on handoffs from experimentation to production, with the<br>Product Manager on scope and priorities, and with the broader backend team on platform<br>services where pipeline logic intersects with the product.</p>\n<p><br><span style=\"font-size: 14pt; font-weight: bold\">Role Overview</span></p>\n<p><br>We're looking for a Senior Data Engineer to own data pipeline work end-to-end — from<br>building and maintaining production pipelines to integrating new data sources and<br>contributing to backend services that power the platform.</p>\n<p><br>You'll be working on: developing new pipeline components as we revamp and upgrade our<br>data flows, cleaning up and sunsetting legacy services, maintaining and improving </p>\n<p>infrastructure, and eventually integrating open data sources. When DS work produces a<br>new model or data package, you're the person who makes it production-ready.</p>\n<p><br>This is a hands-on engineering role. Not research, not analytics.</p>\n<p><br><span style=\"font-size: 14pt; font-weight: bold\">Technical Environment</span></p>\n<p><br>• Python — core language for everything<br>• SQL — daily use<br>• Docker — containerized services throughout<br>• AWS — Lambda, ECS, S3, Step Functions, CDK (experience a plus, not required<br>from day one)<br>• Data Stores: PostgreSQL, DynamoDB, BigQuery<br>• IaC: Terraform / CDK (nice to have)<br>• Orchestration: Argo (or similar — willingness to learn matters more than prior<br>experience)<br></p>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-size: 14pt; font-weight: bold\">What You'll Own</span></p>\n<p><br>• Build new pipeline components as we upgrade and refactor data flows<br>• Maintain and improve existing data pipelines — including sunset work on legacy<br>services<br>• Integrate new data package sources after DS teams define the spec — you make it<br>production-grade<br>• Collaborate with data scientists on handoffs from experimentation to production<br>• Keep the infrastructure running: monitoring, alerting, reliability<br>• Contribute to backend services where data and platform logic intersects with the<br>product</p>\n<p><br></p>\n<p><br><span style=\"font-size: 14pt; font-weight: bold\">What We're Looking For</span></p>\n<p><br>Must-have:</p>\n<p><br>• 4+ years in data engineering or backend engineering<br>• Strong Python — production-grade, not just scripts or notebooks<br>• SQL — comfortable with complex queries, schema design, performance<br>considerations<br>• Docker — you've shipped containerized services, not just run them locally<br></p>\n<p><br></p>\n<p>Nice to have:</p>\n<p><br>• pandas / data wrangling experience<br>• AWS (any depth — Lambda, S3, ECS)<br>• Terraform or CDK<br>• Experience with orchestration tools (Argo, Airflow, Prefect, or similar)<br>• Prior work in regulated or data-sensitive environments (life sciences, healthcare,<br>finance)<br></p>\n<p><br></p>\n<p><span style=\"font-size: 14pt; font-weight: bold\">What matters more than stack coverage:</span></p>\n<p><br>• You take ownership of what you ship and monitor it<br>• You're used to working from a data spec that's 80% complete — you can fill the<br>gaps yourself and flag the ones you can't<br>• You can work across the DS ↔ backend boundary without needing a translator<br></p>\n<p><br></p>\n<p><span style=\"font-size: 14pt; font-weight: bold\">What We're Not Looking For</span></p>\n<p><br>• Full-stack generalists who drift toward frontend<br>• People who wait for a ticket to tell them something is broken</p>\n<p><br></p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\"><span>What we offer</span></span><span> </span></span></p>\n<p><span style=\"font-size: 14pt\"><br></span></p>\n<p><span><br></span><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\"><span>Workthat matters</span></span><span> – build solutions that support faster and more effective healthcare outcomes.</span><span> </span></span></p>\n<p><span style=\"font-size: 12pt\"><br><span style=\"font-weight: bold\"><span>Hands-onAI work</span></span><span> – practical experience with </span><span style=\"font-weight: bold\"><span>LLMs and modern AI applications</span></span><span> used in real business scenarios.</span><span> </span></span></p>\n<p><span style=\"font-size: 12pt\"><br><span style=\"font-weight: bold\"><span>FlexibleB2B compensation</span></span><span> – </span><span style=\"font-weight: bold\"><span>€30–40/h depending on seniority</span></span><span> (sole proprietorship only). Net invoicing, VAT settled on the Swiss side. Payments  in </span><span style=\"font-weight: bold\"><span>EUR</span></span><span>.</span><span> </span></span></p>\n<p><span style=\"font-size: 12pt\"><br><span style=\"font-weight: bold\"><span>Remote-first setup</span></span><span>– work from anywhere in Poland.</span><span> Love good coffee and teamwork? You’re always welcome at our Wrocław office. </span><span> </span><span> </span></span></p>\n<p><span style=\"font-size: 12pt\"><br><span style=\"font-weight: bold\"><span>Long-termprojects with global pharma partners</span></span><span> – stability, clear goals and meaningful work.</span><span> </span></span></p>\n<p><span style=\"font-size: 12pt\"><br><span style=\"font-weight: bold\"><span>Growthopportunities</span></span><span> – develop your skills, explore new tools and deepen your expertise in healthcare and data.</span><span> </span></span></p>\n<p><span style=\"font-size: 12pt\"> </span></p>\n<p><span style=\"font-weight: bold\"><span><span>Join</span><span> </span><span>us</span><span> and </span><span>make</span><span> </span><span>your</span><span> data </span><span>skills</span><span> </span><span>matter</span><span>.</span></span></span><span> </span></p>\n<p><span> <br></span><span><span>Build</span><span> </span><span>your</span><span> </span><span>career</span><span> in a </span><span>stable</span><span> </span><span>international</span><span> team </span><span>shaping</span><span> the </span><span>future</span><span> of </span><span>healthcare</span><span>.</span></span><span> </span></p>\n<p><span> </span></p>",
    "compensation": "€30–40/h ",
    "departmentId": "18586",
    "locationType": "1",
    "seekPromoted": false,
    "jobCategoryId": null,
    "jobOpeningName": "Senior Data Engineer",
    "departmentLabel": "Engineering",
    "jobOpeningStatus": "Open",
    "minimumExperience": "Experienced",
    "jobOpeningShareUrl": "https://peakdata.bamboohr.com/careers/117",
    "employmentStatusLabel": "Contractor"
  }
}