Hardware Engineer
Technical skills
- Digital and embedded electronics design.
- Hardware architecture and system design.
- FPGA and CPLD development.
- Hardware description languages (VHDL, Verilog).
- Electronic schematic capture and PCB design principles.
- Simulation and synthesis tools (Vivado, Quartus, ModelSim, etc.).
- Embedded communication protocols (SPI, I2C, UART, CAN, Ethernet).
- Hardware integration, testing, and validation.
- Signal integrity and electromagnetic compatibility (EMC) fundamentals.
- Knowledge of industry standards and safety requirements.
Soft skills
- Strong analytical and problem-solving skills.
- Attention to detail and technical rigor.
- Critical thinking and troubleshooting abilities.
- Effective communication and documentation skills.
- Teamwork and cross-functional collaboration.
- Adaptability in complex technical environments.
- Autonomy and proactive mindset.
The Hardware Engineer designs, develops, and validates electronic hardware solutions for embedded and complex systems. They play a key role in transforming technical requirements into reliable and high-performance hardware architectures, ensuring that products meet functional, quality, safety, and regulatory standards across industries such as aerospace, defense, transportation, energy, and industrial automation.
Main activities
- Analyze system requirements and define hardware specifications.
- Design and develop electronic circuits and embedded hardware architectures.
- Create and review schematics, hardware designs, and technical documentation.
- Develop and integrate digital logic solutions using FPGA and programmable devices when required.
- Perform simulations, verification, and hardware validation activities.
- Support system integration and testing on target platforms.
- Troubleshoot hardware issues and implement corrective actions.
- Collaborate with software, systems, and electronics teams throughout the development lifecycle.
Application form
Our Other job offers
The Finance Business Analyst acts as a bridge between business stakeholders and technology teams, ensuring that financial processes, systems, and reporting solutions align with organizational objectives. They analyze business needs, identify improvement opportunities, and support the implementation of solutions that enhance financial performance, operational efficiency, and regulatory compliance.
Main activities
- Gather, analyze, and document business and financial requirements.
- Collaborate with finance, accounting, risk, and IT teams to define functional solutions.
- Analyze financial processes and identify opportunities for optimization and automation.
- Produce functional specifications, process maps, and business documentation.
- Support the implementation, enhancement, and integration of financial systems.
- Participate in testing, validation, and user acceptance activities.
- Monitor project progress and ensure alignment with business objectives.
- Provide support and training to end users during system deployments and process changes.
The Data Analyst collects, analyzes, and interprets data to help organizations make informed business decisions. They transform raw data into clear insights, dashboards, and reports, enabling teams to monitor performance, identify trends, and improve operational and strategic decision-making.
Main activities
- Collect, clean, and structure data from multiple sources.
- Analyze datasets to identify trends, patterns, and business insights.
- Build dashboards, reports, and visualizations for business stakeholders.
- Define and monitor key performance indicators.
- Translate business questions into data analyses and actionable recommendations.
- Ensure data quality, consistency, and reliability.
- Present insights clearly to technical and non-technical audiences.
- Collaborate with business, product, data, and IT teams.
The Data Engineer designs, builds, and maintains scalable data architectures that enable organizations to collect, process, store, and analyze large volumes of data. They ensure the availability, reliability, and quality of data across the organization, providing the foundation for business intelligence, analytics, artificial intelligence, and data-driven decision-making.
Main activities
- Design, develop, and maintain data pipelines and ETL/ELT processes.
- Build and optimize data warehouses, data lakes, and data platforms.
- Integrate data from multiple internal and external sources.
- Ensure data quality, consistency, and governance across systems.
- Monitor and optimize data processing performance and scalability.
- Collaborate with Data Analysts, Data Scientists, Product Owners, and business stakeholders.
- Implement data security, compliance, and access management best practices.
- Support cloud migration and modernization initiatives within data ecosystems.
- Troubleshoot data-related issues and contribute to continuous platform improvements.