9 engineer English-speaking jobs in Beja

We are looking for an Amazing:Data Engineer Seniority: +4 Type of position: Full RemoteThe amazing you ... Bachelor's degree in Computer Science, Software Engineering, or a related field; At least4 years as a Data Engineer

We're looking for a Senior or Lead Full Stack Engineer to join a greenfield engineering initiative focused

KEMET Electronics Portugal, a YAGEO Group companyNew Opportunity | R&D Engineer (M/F) Location:Évora, ... What we're looking for: Bachelor's degree in Chemical Engineering or Materials Engineering; R&D Engineer

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

, or Senior Camunda Engineer. ... non-technical stakeholders.Required Skills & Experience Proven experience as a Camunda Architect, Lead Camunda 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.

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.

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.