Descripción de la oferta
Gestamp is an international group dedicated to the design, development and manufacture of metal components for the automotive industry. We currently have more than 100 plants, 13 R&D centers and more than 41000 employees located in 21 companiesWe are looking for a highly motivated individual to join a growing team working on exciting Industry 4.0 projects. You will help building Gestamp's path towards a SMART FACTORY by integrating and maximizing the potential that new technologies can offer, to achieve connected, smart and highly efficient manufacturing plants.ResponsibilitiesWe are looking for a Senior Data Software Engineer with a strong background in designing and building scalable data systems. This role is ideal for someone who enjoys hands‑on technical work while mentoring others and influencing the technical direction of the team. You will be a key player in developing reliable data pipelines and systems while ensuring high performance and scalability.About youStrong expertise in Java (8/11+), functional programming, concurrency, and microservices architecture.5+ years of backend software engineering experience, with at least 2+ years in data streaming/real‑time systems.Proven experience leading and mentoring small engineering teams.Strong problem‑solving skills in low‑latency, fault‑tolerant distributed systems.Hands‑on in both system design and production troubleshooting.Effective communicator, capable of collaborating with data engineers, DevOps, and product teams.Ownership mentality with the ability to drive initiatives end‑to‑end and balance delivery with technical quality.Skills & KnowledgeWhat will you doTeam Leadership & Delivery: Lead and mentor a team of 4–5 engineers, setting technical direction and best practices for streaming platforms. Drive sprint planning, technical decision‑making, and delivery of scalable real‑time data solutions. Promote a culture of ownership, continuous improvement, and operational excellence. Collaborate cross‑functionally with product, platform, and data teams to align on priorities and architecture.Stream Processing & Fault Tolerance: Own and guide the implementation of real‑time pipelines using Apache Flink, including stateful processing and CEP. Define best practices for checkpointing, savepoints, and exactly‑once guarantees. Ensure platform reliability, resilience and high availability.Time Semantics & Windowing: Lead the design of event‑time processing strategies, watermarking, and windowing for accurate and scalable computations. Establish standards for handling out‑of‑order and late‑arriving data.Messaging & Event Systems: Architect and oversee systems based on Kafka (brokers, streams, connect, schema registry) and RabbitMQ (exchanges, queues, routing strategies).Industrial Protocols: Strong understanding of industrial communication protocols, with hands‑on experience in OPC UA, MQTT, and AMQP for integrating IoT devices, messaging systems, and real‑time data pipelines.Infrastructure & Deployment: Guide the adoption of Docker, CI/CD pipelines, and Kubernetes‑based deployments. Collaborate with DevOps to ensure robust, automated, and scalable infrastructure.Observability & Optimization: Familiar with Prometheus, Grafana, ELK stack for monitoring, tuning, and debugging streaming pipelines.Nice to haveInfrastructure-as-Code (e.g., Terraform, Helm).Knowledge of Chaos Engineering or fault injection testing.
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