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.
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
Azure Databricks
Spark / PySpark
Azure Services
SQL & NoSQL Databases
Python
Power BI
Modern Data Warehousing solutions
Cloud-native data architectures
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
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
The salary range for this position is between €40,000 and €45,000 gross annual salary, depending on experience and background, alongside a comprehensive benefits package including health insurance, pension plan, wellbeing initiatives, home office support and additional flexibility allowances.
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.
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
Azure Databricks
Spark / PySpark
Azure Services
SQL & NoSQL Databases
Python
Power BI
Modern Data Warehousing solutions
Cloud-native data architectures
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
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
The salary range for this position is between €40,000 and €45,000 gross annual salary, depending on experience and background, alongside a comprehensive benefits package including health insurance, pension plan, wellbeing initiatives, home office support and additional flexibility allowances.
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