IRIUM Portugal

Data engineer

In short

Senior Data Engineer role at IRIUM in Lisbon (hybrid), building and operating large-scale cloud data platforms on Microsoft Azure. Requires 4+ years of experience with SQL, Azure Databricks, ADLS, Event Hubs, Apache Spark, Delta Lake/Lakehouse, Terraform, Azure DevOps CI/CD, and Python, plus fluent English. Nice-to-haves include Rust, GCP, Kubernetes, and data governance experience.

About the role
At IRIUM, we want you to always pursue your dreams! Here, get ready to achieve your goals while enjoying the journey. We are currently looking for a Data Engineer JD.
Requirements
•At least 4 years of experience in Data Engineering, Software Engineering, or a comparable role
•Proven experience designing, building, and operating large-scale data platforms or cloud-based data solutions
•Strong knowledge of SQL, data modelling, and data pipeline development
•Hands-on experience with Azure Databricks
•Experience with Azure Data Lake Storage (ADLS)
•Experience with Azure Event Hubs
•Strong knowledge of Apache Spark / Spark Streaming
•Experience with Delta Lake and Lakehouse architectures
•Strong experience with Microsoft Azure infrastructure and cloud-native data platforms
•Practical experience with Terraform / Infrastructure as Code (IaC)
•Experience developing and maintaining CI/CD pipelines in Azure DevOps
•Strong proficiency in Python and good software engineering practices
•Understanding of cloud security, observability, reliability, and operational best practices
•Experience building and maintaining batch and streaming data pipelines
•Experience with monitoring, troubleshooting, root-cause analysis, and production incident resolution
•Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field
•Fluent English
Nice to have
•Experience with Rust
•Knowledge of Google Cloud Platform (GCP)
•Experience with Kubernetes and containerisation
•Experience with data visualisation tools
•Knowledge of Data Governance, Data Management, and Data Quality
•Experience with metadata management and data quality controls
•Experience working in Agile and cross-functional teams
•Proactive, autonomous, and ownership-driven mindset
•Strong ability to solve complex technical problems
•Strong focus on automation, continuous improvement, and engineering excellence
Conditions
•Gross Monthly Salary: 1,*,900 per month. Note: includes all components: fixed salary, variable compensation, meal allowance, remote work allowance, and benefits
•An innovative and growing company with many opportunities for professional development
•Compensation according to your experience and performance
•Access to flexible compensation and health insurance as a social benefit
•Unlimited access to technology training in a self-paced format

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