Azure Data Engineer

Hiireis supporting an international technology-driven organization in the search for aData Engineer to join a large-scale data and analytics initiative based in Lisbon.

This is an opportunity to work on modern cloud-native data platforms focused on building robust and sustainable data solutions using Azure technologies. You’ll contribute to scalable data architectures, analytics enablement, and platform evolution within a highly collaborative and engineering-focused environment.

The team is focused on enabling data-driven decision-making through scalable processing, storage, and analytics solutions integrated across multiple Azure services.

What You’ll Be Working On

• Designing and implementing scalable Data Pipelines, Data Storage, and Data Processing solutions

• Managing Data Integration and Storage architectures

• Modelling data and handling ETL/ELT processes and Data Warehousing solutions

• Developing and maintaining modern data architectures with focus on scalability, security, and availability

• Managing cloud-based data services, particularly within Azure ecosystems

• Supporting and implementing Data Governance practices and standards

• Collaborating closely with cross-functional engineering and analytics teams to improve platform reliability and data accessibility

Tech Environment

• Azure Databricks

• Spark / PySpark

• Azure Services

• SQL & NoSQL Databases

• Python

• Power BI

• Modern Data Warehousing solutions

• Cloud-native data architectures

What We’re Looking For

• Strong experience in Data Engineering and cloud-based data platforms

• Solid understanding of data modeling, ETL processes, and data warehousing concepts

• Hands-on experience with Spark, Azure Databricks, and distributed data processing technologies

• Experience working with SQL and NoSQL databases

• Strong proficiency in Python for data manipulation and processing

• Deep understanding of data architecture, scalability, security principles, and best practices

• Experience implementing or contributing to Data Governance frameworks

• Good communication skills and strong English proficiency

Why This Opportunity?

• Work on modern enterprise-scale data platforms

• International and collaborative engineering environment

• Opportunity to contribute to impactful large-scale data initiatives

• Strong focus on engineering quality, scalability, and continuous improvement

• Hybrid working model based in Lisbon