17 engineer English-speaking jobs in Viseu

Open positions: Data Engineer— ELT/ETL, orchestration, batch/streaming, data quality Data Platform Engineer ... data-driven insights Data Governance Lead— data catalog, lineage, stewardship, access management ML Engineer ... observability, FinOps Data Architect— target data architecture, integration patterns, standards Analytics Engineer

So... are you a driven engineer ready to take on real-world challenges? ... degree in Mechanical Engineering or a related field; More than 1 year of experience as a Mechanical Engineer ... collaborative approach and ongoing support.Profile description: We are looking for amotivatedmechanical engineer

As a Software Engineer, you will:Work on technology that matters — your code will be part of systems ... keep us moving forward, pushing the limits of what's possible.The Role We are looking for a driven engineer

As a Software Engineer, you will:Work on technology that matters — your code will be part of systems ... keep us moving forward, pushing the limits of what's possible.The Role We are looking for a driven engineer

Senior Active Directory Engineer to design, maintain, and troubleshoot enterprise-level identity infrastructure for an international automotive company.

Non‐Negotiable) Strong expertise inDataikuand workflow development; More than 5 years working asData Engineer

well as problem analysis and bug-fixing.You must haveYou have an educational background as Software Engineer

Administers, maintains, and evolves VMware vSphere infrastructure in a critical enterprise environment. Manages HPE Synergy and ProLiant infrastructure, Pure Storage systems, and Brocade SAN switches. Collaborates with other infrastructure teams to ensure platform availability, performance, and security.

BGTS seeks an M365 Engineer to ensure secure and reliable Microsoft 365 services for an international automotive company. Responsibilities include managing user provisioning, troubleshooting issues, and collaborating with the Cybersecurity team.

AWS Data Engineer to design and implement cloud-based data pipelines using AWS services (S3, ECS, Lambda, RDS, IAM). Develop using Python and data libraries, transform raw data, and orchestrate workflows with tools like Airflow/Step Functions and IaC.

Design and implement Identity & Access Management solutions based on Microsoft Entra ID. Lead Identity Governance implementations, including Access Reviews, Entitlement Management, and Lifecycle Workflows (JML). Support technical design, configuration, testing, and deployment activities. Work directly with clients to ensure solutions align with business and security requirements.

Senior .NET/React Engineer to design and implement cloud solutions with Kubernetes orchestration. Experience with APIs, background services, event-driven architectures, and messaging systems required. Knowledge of LLMs, AI tools, and database management is essential.

Design and develop automated tests using Playwright or other programming languages for frontend and backend components. Collaborate with engineering teams to identify test scenarios and requirements. Ensure the scalability and maintainability of automated test suites.

Senior Analytics Engineer will design, build, and maintain scalable dbt models, ensuring Snowflake data assets are clean and trusted. Responsibilities include optimizing Snowflake queries, managing database structures, and partnering with Data Platform/Engineering on ingestion pipelines. Requires 5+ years of experience in analytics engineering, data engineering, or a related field with expert-level dbt and Snowflake expertise.

digital solutions to enhance production efficiency and compliance.Position Overview As a Senior Data Engineer

Design and implement scalable cloud-native solutions on Microsoft Azure. Lead migrations of centralized platforms into microservices architectures. Solve distributed systems challenges involving scalability, reliability, and observability.

Senior Data Engineer with 5+ years of experience in data engineering, data warehousing, or software engineering. Proficient in SQL, Python, distributed data processing systems (e.g., Apache Spark, PySpark, Databricks), and cloud platforms (AWS, Microsoft Azure, or GCP). Expertise in ETL/ELT methodologies and orchestration tools. Designs, optimizes, and mentors data engineering teams. Collaborates with data scientists and analysts.