Job Overview

Hiire is supporting an international technology-driven organization in the search for a Data 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.

Key Responsibilities

• 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

Required Qualifications

• 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