Data Engineer Jd

Irium; Lisboa; Hybrid; EUR 18,000 - 21,000; Full time

Job summary

IRIUM is seeking a Data Engineer in Lisbon with 4+ years in data engineering. You will design and operate large-scale data platforms on Azure, building batch and streaming pipelines using Spark, Delta Lake, and cloud-native services. Proficiency in Python and strong English are essential.

The role is hybrid in Lisbon, offering a competitive monthly gross salary and a comprehensive benefits package, including health coverage and flexibility to work remotely part of the time.

Qualifications

• 4+ years of experience in Data Engineering, Software Engineering, or similar role.

Skills

SQL

Data modelling

Data pipeline development

Python

Fluent English

Education

Bachelor’s or Master’s degree in Computer Science / Software/Data Engineering

Tools

Azure Databricks

Azure Data Lake Storage (ADLS)

Azure Event Hubs

Apache Spark / Spark Streaming

Delta Lake

Terraform / IaC

Azure DevOps

Kubernetes

Job description

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.

Required Competencies:

• 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.

Preferred Competencies:

• 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.

Working model: Lisbon, Hybrid

Gross Monthly Salary: €1,600–€1,900 per month

Note: Includes all components: fixed salary, variable compensation, meal allowance, remote work allowance, and benefits.

What do we offer?

• 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.
• IRIUM is a company made up of dynamic and proactive professionals. Our values are responsibility and commitment to the quality of our work. This is the spirit we look for at IRIUM, regardless of your age.

If you identify with these values, this is your company!

At IRIUM, we stand for a world without stereotypes or limitations and believe in equality for everyone. These principles are reflected in our Equality Plan and Code of Ethics, ensuring equal treatment and opportunities regardless of any personal, physical, or social condition.

Regime de trabalho híbrido.