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Senior Data Engineer

Remote
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AI Summary

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
Scalable data architecture
Cloud engineering
Modern data practices
Key Responsibilities
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.
Technical Skills Required
Azure Databricks PySpark
Benefits & Perks
100% Remote
Location: Portugal
Nice to Have
Data Science
Machine Learning

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.

👉 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.


🛠 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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