Portuguese company hires for hybrid position
Location: Lisbon, Portugal
- ️ Only candidates already based in Portugal will be considered
Work Model: Hybrid – 60% Remote / 40% On-site
️ Language Requirements: English – B2 or higher (Mandatory)
Seniority: Senior (10+ years)
Sector: Energy
Rate Between €3300 - 3600 RV
- ️ Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success
Join a strategic Data & AI Center of Excellence where you will play a key role in defining engineering standards, enabling development teams, and driving the adoption of modern cloud-based data platforms.
As a Data & AI Senior Engineer, you will bridge architecture and engineering by transforming technical guidelines into reusable assets, automation frameworks, deployment patterns, and best practices. Working closely with architects, Tech Leads, and product teams, you will help standardize enterprise Data & AI solutions while promoting governance, scalability, security, and operational excellence.
This is an excellent opportunity for professionals passionate about cloud data engineering, platform enablement, automation, and enterprise-scale Data & AI ecosystems.
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Translate architectural standards and governance principles into reusable engineering assets and reference implementations.
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Design and maintain project templates, reference repositories, and engineering blueprints.
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Develop and maintain Terraform modules and Infrastructure as Code (IaC) components.
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Build and optimize CI/CD pipelines using GitHub Actions.
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Create reusable frameworks for data ingestion, transformation, and publication.
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Design deployment patterns and technical accelerators across enterprise Data & AI platforms.
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Support engineering teams in adopting standardized development practices.
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Ensure alignment with architecture, security, governance, compliance, and FinOps principles.
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Promote platform consistency, reducing technical debt, duplication, and fragmented solutions.
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Contribute to platform optimization, legacy modernization, monitoring, workspace organization, and environment management across development, testing, and production.
Technical Skills
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Minimum 10 years of experience in Data Engineering, Cloud Engineering, or Data & AI platforms.
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Strong expertise with Microsoft Azure.
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Hands-on experience with Azure Databricks.
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Experience with Microsoft Fabric.
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Solid knowledge of Terraform and Infrastructure as Code.
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Experience building CI/CD pipelines using GitHub Actions.
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Strong understanding of enterprise Data & AI architectures and engineering best practices.
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Experience designing reusable engineering assets, technical standards, and automation frameworks.
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Knowledge of data pipelines, data products, semantic models, and metadata management.
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Experience with platform governance, monitoring, environment management, and production deployments.
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Advanced English (B2 or higher).
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Microsoft Purview.
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Unity Catalog.
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Power BI.
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FinOps principles.
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Data lineage and metadata management.
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Access control and security governance.
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Cloud cost optimization.
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Legacy migration projects.
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DevOps practices for Data Platforms.
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Strong technical leadership and mentoring capabilities.
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Excellent analytical and problem-solving skills.
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Ability to collaborate with architects, Tech Leads, and multidisciplinary engineering teams.
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Proactive mindset with a strong focus on continuous improvement.
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Excellent communication and stakeholder management skills.
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Passion for engineering excellence, automation, and scalable platform design.
The ideal candidate is a highly experienced Data & AI Engineer with deep expertise in Microsoft Azure ecosystems and enterprise-scale data platforms. You have successfully built reusable engineering frameworks, standardized cloud solutions, and supported multiple development teams in adopting best practices. You are passionate about automation, governance, Infrastructure as Code, and modern Data & AI architectures. Your combination of hands-on technical expertise, strategic thinking, and collaborative leadership enables you to deliver scalable, secure, and production-ready solutions that drive organizational consistency and innovation.
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Do you have 10+ years of experience in Data Engineering, Cloud Engineering, or Data & AI platforms?
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Have you worked extensively with Microsoft Azure, Azure Databricks, and Microsoft Fabric?
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Do you have hands-on experience developing Infrastructure as Code using Terraform?
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Have you implemented CI/CD pipelines using GitHub Actions?
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Have you designed reusable engineering assets, templates, frameworks, or reference architectures?
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Are you experienced in building and maintaining enterprise data pipelines and governed data products?
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Do you have experience with platform governance, security, monitoring, and FinOps best practices?
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Have you worked with Microsoft Purview, Unity Catalog, or Power BI?
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Can you communicate confidently in English (B2+)?
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Are you available to work in a hybrid model in Lisbon (60% remote / 40% on-site)?
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Join a strategic Data & AI Center of Excellence driving enterprise innovation.
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Work with cutting-edge Microsoft cloud technologies and modern data platforms.
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Influence engineering standards and technical strategy across multiple teams.
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Build reusable frameworks that will shape large-scale Data & AI initiatives.
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Collaborate with experienced architects and engineering leaders in an international environment.
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Contribute to high-impact digital transformation projects within the Energy sector.
Data Engineer, Data & AI Engineer, Senior Data Engineer, Cloud Engineer, Microsoft Azure, Azure Databricks, Microsoft Fabric, Microsoft Purview, Unity Catalog, Power BI, Terraform, Infrastructure as Code, IaC, GitHub Actions, CI/CD, DevOps, Data Engineering, Data Pipelines, ETL, ELT, Data Products, Semantic Models, Data Governance, Data Lineage, Metadata Management, Access Control, FinOps, Cloud Engineering, Platform Engineering, Reference Architecture, Automation, Cloud Infrastructure, Azure Cloud, Monitoring, Environment Management, Production Support, Legacy Migration, Enterprise Data Platform, Technical Standards, Engineering Excellence, Energy Sector, Hybrid, Lisbon, English.
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