Senior Data Engineer

TL;DR

Senior Data Engineer: Design, develop, and maintain scalable data pipelines and perform advanced analytics with an accent on Azure Data Factory, Databricks, and Python. Focus on building complex ETL processes, ensuring data quality, and supporting operational data workflows.

Location: Lisboa, Portugal

Company

hirify.global offers involvement in pioneering projects with innovative technological solutions and strong IT training plans, supporting professional growth in national and international projects.

What you will do

• Design, develop, and maintain scalable data pipelines using Azure Data Factory
• Perform data transformations and advanced analytics using Databricks with Python
• Write, optimize, and maintain complex SQL queries for ETL processes
• Ensure data quality, integrity, and consistency across systems
• Collaborate with team members to troubleshoot issues and support daily operations
• Contribute to technical documentation of data flows, architecture, and operational procedures

Requirements

• SQL: Advanced level required
• Experience with Azure Data Factory and Databricks
• Proficiency in Python programming
• Knowledge of data quality and ETL processes
• Location: Lisboa, Portugal

Nice to have

• Experience with Azure DevOps for CI/CD of data pipelines
• Familiarity with data modeling and database performance optimization
• Understanding of data governance and security best practices in cloud environments
• Functional knowledge of Finance, Asset Management, and Bank of Portugal regulatory reporting
• Experience in operational, financial, and regulatory reporting
• Previous experience in the banking sector

Culture & Benefits

• Integration in an organization with profound and sustained growth
• Strong IT training plans
• Professional evolution with involvement in ambitious national and international technological projects