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Azure Data Engineer

Hiire · Lisbon, Portugal

Data Science / AI / Machine LearningQuick applyfull-time2 days ago

About The Role

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
  • 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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