Join an international cross-functional team to build and evolve modern cloud-based data platforms. Design, develop, and maintain scalable data pipelines. Improve and evolve cloud-based data platforms.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
We’re looking for a Senior Data Engineer to join an international cross-functional team focused on building and evolving modern cloud-based data platforms.
This is a great opportunity for someone passionate about scalable data architecture, cloud engineering, and modern data practices, working within a highly collaborative and product-oriented environment.
🌍 Location: 100% Remote (minimum 6 hours overlap with CET)
👉 For this opportunity, candidates must currently be based and living in Portugal.
What we’re looking for:
👉 Strong experience building scalable data platforms on Azure.
👉 Hands-on experience with Databricks and PySpark in production environments.
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👉 Experience with Microsoft Fabric is highly valued.
👉 Solid understanding of CI/CD and modern engineering practices.
👉 Experience developing and maintaining robust data pipelines.
👉 Ability to communicate technical trade-offs and collaborate with architects and engineering teams.
👉 Comfortable reviewing code and contributing to engineering best practices.
👉 Strong communication skills and proactive mindset.
💡 Nice to have:
➕ Interest or exposure to Data Science and Machine Learning.
➕ Familiarity with AI tools used in daily development workflows.
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🛠 What you’ll do:
• Design, develop, and maintain scalable data pipelines.
• Improve and evolve cloud-based data platforms.
• Review code and support engineering quality standards.
• Write and maintain technical documentation.
• Help manage and reduce technical debt.
• Collaborate closely with Data Engineers, Scientists, Developers, and Product Owners.
• Contribute to platform scalability, reliability, and long-term evolution.
This role is ideal for someone who enjoys working in modern cloud environments, solving complex data challenges, and contributing to high-impact international projects.
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