Data Platform Engineer

Adecco Permanent Recruitment; Portugal; Híbrido; EUR 70 000 - 90 000; Tempo integral

Resumo da oferta

Adecco Permanent Recruitment is partnering with a technology client in Lisbon to recruit a senior data platform engineer. You will design, build, and evolve scalable data platforms that ingest, process, and manage huge data volumes across distributed environments, enabling IoT, telecom, and software solutions.

You will collaborate with engineers, architects, and product stakeholders to translate business needs into resilient technical designs, applying TDD and CI/CD practices to deliver reliable

Qualificações

• Bachelor's degree in Computer Science or equivalent.
• Minimum 5 years in professional software or data platform engineering.
• Strong experience with Kafka or comparable event streaming.
• Hands-on Docker and Kubernetes in production.
• Experience 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 cloud-native platforms in AWS/Azure/GCP.
• Experience with relational and NoSQL databases.
• Solid knowledge of TDD methodologies.
• Professional English proficiency (minimum B2).
• Based in Portugal.

Responsabilidades

• Design, develop, and enhance data platforms for large-scale workloads.
• Build and maintain data ingestion, transformation, and processing pipelines.
• Design scalable, available, secure, and performant solutions.
• Participate in the full software development lifecycle.
• Develop distributed systems and cloud-native apps.
• Work with streaming tech to process high data volumes.
• Evolve modern data architectures for reliability and observability.
• Collaborate with product, engineering, and architecture teams.
• Promote software quality through TDD and best practices.
• Contribute to CI/CD processes and deployment pipelines.
• Monitor production environments for stability and performance.
• Provide input into architecture and platform evolution.

Conhecimentos

Kafka

Distributed systems

Cloud platforms

English B2

TDD

SDLC experience

Formação académica

Bachelor's degree in Computer Science

Ferramentas

Docker

Kubernetes

Apache Spark

Apache Flink

Apache Iceberg

Descrição da oferta de emprego

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.