Data Platform Engineer

Join an innovative engineering team developing the next generation of IoT connectivity solutions. In this role, you will help design, build, and evolve large-scale data platforms responsible for ingesting, processing, and managing significant volumes of data across complex distributed environments. Working alongside engineers, architects, and product stakeholders, you will play a key role in delivering cloud-native data solutions that support cutting-edge technologies at the intersection of IoT, telecommunications, and software platforms.

📍 Location: Lisbon (Hybrid - 1 to 2 days per week on-site)

📄 Contract: Full-time, direct contract with the client

Our client is a technology company driving innovation in the IoT space through a unique combination of cloud and semiconductor technologies. Its solutions are already used by major global organisations across the consumer goods, retail, food, and pharmaceutical sectors, enabling smarter and more connected products throughout their lifecycle.

Responsibilities

• Design, develop, and enhance data platforms supporting large-scale, data-intensive workloads.
• Build and maintain data ingestion, transformation, and processing pipelines operating at scale.
• Design technical solutions that meet demanding requirements around scalability, availability, security, performance, and resilience.
• Participate in all stages of the software development lifecycle, from solution design and technical analysis through implementation, testing, deployment, and operational support.
• Develop and maintain distributed systems, cloud-native applications, and event-driven architectures.
• Work with streaming technologies to process and distribute high volumes of data efficiently.
• Contribute to the evolution of modern data architectures, ensuring reliability, observability, and operational excellence.
• Collaborate closely with product, engineering, and architecture teams to translate business requirements into technical solutions.
• Drive software quality through Test-Driven Development (TDD) and engineering best practices.
• Contribute to CI/CD processes and continuous delivery initiatives.
• Monitor and maintain production environments, ensuring platform stability and performance.
• Provide technical input into architecture, design decisions, and platform evolution.

Required Skills

• Bachelor's degree in Computer Science or equivalent practical experience.
• Minimum of 5 years of professional software engineering or data platform engineering experience within production environments.
• Strong experience with Kafka or comparable event streaming and messaging technologies.
• Hands-on experience with Docker and Kubernetes in production environments.
• Experience working with Apache Flink and/or Apache Spark for large-scale data processing.
• Experience designing and operating data-intensive systems and distributed architectures.
• Proven experience building and supporting cloud-native platforms in AWS, Azure, and/or GCP environments.
• Experience working with both relational and NoSQL databases.
• Strong understanding of designing and delivering complex, large-scale data platforms.
• Experience working across the full software development lifecycle.
• Solid knowledge of Test-Driven Development (TDD) methodologies.
• Strong communication skills and the ability to collaborate effectively with multidisciplinary teams.
• Self-motivated mindset with strong learning capabilities and interpersonal skills.
• Experience using agentic development tools and workflows.
• Professional English proficiency (minimum B2 level).
• Based in Portugal.

Nice to Have

• Experience with Apache Iceberg or similar open table formats.
• Experience with Lakehouse, Data Lake, or modern analytical platform architectures.
• Previous exposure to IoT, telecommunications, or semiconductor-related environments.
• Experience working with multi-tenant SaaS platforms.
• Knowledge of multi-cloud architectures and deployment strategies.



Ready to Take the Next Step?

Apply now to join a team shaping the future of connected products and intelligent IoT solutions. This is an opportunity to work on highly scalable data platforms, modern cloud architectures, streaming technologies, and large-scale distributed systems within an environment focused on innovation, engineering excellence, and real-world impact.