Data Engineer (Azure)

Sobre a vaga

As a Data Engineer, you will be responsible for designing, developing, maintaining, and evolving data processes that transform data from operational systems into reliable and valuable data products for the business. You will work across the full data engineering lifecycle using modern Microsoft Azure technologies and Databricks.

O que vais fazer

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory, Databricks, SQL, and Python
• Develop and evolve data processes that integrate data from operational systems into data warehouses, reporting platforms, and other downstream applications
• Build and orchestrate workflows using Azure services such as Data Factory, Logic Apps, and Function Apps
• Develop and optimise SQL processes, including complex queries, functions, stored procedures, and data transformations
• Maintain, troubleshoot, and continuously improve existing data pipelines and data warehouse processes
• Contribute to new data engineering projects, translating business and technical requirements into robust and maintainable solutions
• Monitor pipeline performance, data quality, reliability, and operational issues, proactively identifying opportunities for improvement
• Apply data engineering best practices and contribute to the evolution of the team's cloud-based data architecture
• Work closely with data engineers, analysts, business stakeholders, and other technical teams to ensure data is accurate, consistent, and fit for purpose
• Work independently while proactively responding to team and project needs

O que é pedido

• 3+ years of professional experience in Data Engineering, including data integration, transformation, modelling, and pipeline development
• Strong experience working with Microsoft Azure data services and cloud-based data solutions
• Hands-on experience with Azure Data Factory and Databricks
• Strong experience with SQL and relational databases/data warehouses
• Professional experience with Python for data engineering and automation
• Experience maintaining and evolving existing data platforms while contributing to new data projects
• Experience working in collaborative and Agile environments
• Fluent in Portuguese and English
• Must be a Portuguese or European citizen or have a valid work permit for Portugal
• Strong knowledge of ETL/ELT processes, data pipelines, orchestration, and data integration
• Solid understanding of data warehousing and data modelling concepts
• Ability to analyse and troubleshoot complex data processes and performance issues
• Strong analytical and problem-solving capabilities
• Ability to work independently and take ownership of technical deliverables
• Commitment to clean, scalable, secure, and maintainable data solutions

Valorizado

• Experience with Azure services such as Logic Apps and Function Apps is highly valuable
• Experience with Azure Lakehouse architectures or modern cloud data platforms
• Experience with CI/CD, Git, and automated deployment of data solutions
• Experience with Azure DevOps or similar development and delivery platforms
• Exposure to data quality, monitoring, and governance practices
• Experience in consulting or client-facing environments

O que é oferecido

• Compensation: 30K to 35K gross per year
• Meal allowance: €10.20/day
• Flexible benefits plan
• Private medical insurance
• 22 days of annual leave, increasing every 3 years (up to 25 days)
• Continuous learning via KLX - Keyrus Learning Experience

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.