Azure Data Engineer

Hiire; Lisboa; Presencial; EUR 50 000 - 70 000; Tempo integral

Resumo da oferta

Hiire is looking for a Data Engineer to join an international technology-driven organization based in Lisbon. You will work on designing scalable data pipelines and managing data architectures utilizing Azure technologies while enabling data-driven decision-making.

The role involves collaborating with cross-functional teams to implement data governance practices and contribute to large-scale analytics initiatives in a hybrid working environment.

Qualificações

• Strong experience in Data Engineering and cloud-based data platforms.
• Hands-on experience with Spark, Azure Databricks, and distributed data processing technologies.
• Good communication skills and strong English proficiency.

Responsabilidades

• Designing and implementing scalable Data Pipelines and Data Processing solutions.
• Developing and maintaining modern data architectures focused on scalability and security.
• Collaborating with cross-functional engineering and analytics teams.

Conhecimentos

Data Engineering

ETL processes

SQL

NoSQL

Azure Databricks

Python

Ferramentas

Azure Services

Spark / PySpark

Power BI

Descrição da oferta de emprego

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.

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