Empowered by our motto, “Making Data Matter”, Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation. With a presence in 27 countries across 4 continents, we’re on a mission to elevate the impact of data.
We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery.
With more than 3200 employees in all corners of the world, Keyrus is dedicated to helping businesses taking advantage of the Data and Digital paradigm to enhance their performance, facilitating, and accelerating their transformation, and generating new drivers of growth, competitiveness, and sustainability.

JOB SUMMARY

Keyrus is looking for a Data Engineer with a strong background in designing, developing, and maintaining secure, scalable data pipelines and cloud-based data solutions. The ideal candidate demonstrates critical thinking, ownership, and a consulting-oriented mindset.
This position is Hybrid in Lisbon.
Note: All applications/CV’s must be submitted in English.

NICE TO HAVE (PREFERRED SKILLS)

Experience with on-premises tools: SQL Server, SSIS, SSAS, SSRS
Familiarity with other Azure services: Logic Apps, Azure Functions, Key Vault, Log Analytics
Proficiency in Power BI, including semantic modelling and DAX
Exposure to other data platforms: Snowflake, DBT, other cloud providers
Understanding of DevOps and CI/CD practices for data workflows
Experience in technical requirements analysis and solution design
Data modelling and visualisation beyond core engineering responsibilities

KEY RESPONSIBILITIES

• Design, develop, and maintain secure and efficient data pipelines using: Azure Data Factory, Azure Synapse, Microsoft Fabric, Databricks, and/or Azure SQL
• Develop and optimise SQL processes, including functions and stored procedures
• Build and orchestrate workflows using Apache Airflow
• Collaborate with data scientists and engineers to ensure data quality and consistency
• Implement BI data modeling solutions to support analytics and reporting
• Monitor and optimize ETL/ELT data transformation performance
• Contribute to the design and implementation of modern cloud-based architectures, including Lakehouse models
• Follow best practices for each technology and propose technical improvements
• Respond proactively to team and management needs
• Communicate effectively with clients and internal stakeholders

REQUIREMENTS FOR THE ROLE

• 3+ years of professional experience as a Data Engineer
• Proficiency in SQL, PySpark, and Python
• Hands-on experience with:
• Azure Data Factory, Databricks, Azure SQL, Azure Synapse
• Apache Airflow for orchestration
• Strong understanding of data architecture and pipeline design
• Experience with BI data modelling and support for analytics
• Excellent communication and interpersonal skills
• Fluent in English
• Must be a Portuguese or European citizen or have a work permit for Portugal