Lùkla Portugal
Data & Analytics Site Reliability Engineer
Skills
4 days ago
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Important information
Contract type:
Permanent
Location:
Lisbon, Portugal
Work mode:
Onsite
Published on:
16 October 2026
What they need
Data & Analytics Site Reliability Engineer | Lisboa
Passionate about Azure, Cloud Native technologies and Data Platforms?
At Lùkla, we're looking for a Data & Analytics Site Reliability Engineer to join an international project focused on ensuring the reliability, performance and continuous improvement of cloud-based data platforms.
You'll work at the intersection of Azure Cloud Services, Data & Analytics and Site Reliability Engineering , supporting the platforms that enable data teams to operate at scale.
What you'll do
- Support and improve the reliability, performance and availability of Azure-based data and analytics platforms.
- Troubleshoot technical issues across cloud services, data platforms and integrations.
- Work with Azure Data Services, including Data Factory, Databricks, Synapse and Storage Accounts .
- Contribute to monitoring, incident resolution and continuous platform improvements.
- Collaborate with international teams to ensure secure and efficient cloud operations.
What we're looking for
- 4+ years of hands-on experience with Microsoft Azure , ideally in Cloud Native or Data Platform environments.
- Strong knowledge of Azure Data Factory, Databricks, Synapse or similar data processing services.
- Experience with Azure Storage Accounts, SQL Database, Cosmos DB or PostgreSQL .
- Familiarity with Azure data integration and event-driven services, such as Event Hubs, Event Grid or Stream Analytics .
- Exposure to Azure Machine Learning, Azure Cost Management or other Azure analytics and AI services is valued.
- Experience in cloud operations, troubleshooting, monitoring or platform support.
- Good communication skills in English and experience working with international teams.
Why join us?
Be part of an international cloud environment, working with modern Azure technologies and contributing to the reliability of enterprise-scale data platforms.
Ready for your next challenge? Let's talk!
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