Senior Backend Engineer, Data

🕒 2 dias atrás

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

jaydhub

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2022

💼 Consultoria

🤝 B2B

🏢 Corporativo

Consulting • B2B • Enterprise

jaydhub é um estúdio de transformação digital e inovação sediado em Portugal, que constrói e acelera hubs digitais, promove a transformação cultural e ajuda empresas a adotar as tecnologias digitais certas e novas formas de trabalhar. A empresa enfatiza a mudança centrada nas pessoas, combinando tecnologia, criatividade e uma metodologia de inovação para impulsionar e escalar a inovação, melhorar os comportamentos das empresas por meio de rituais e ferramentas, e entregar valor aos clientes.

Descrição

• Build and maintain Databricks and PySpark data pipelines using medallion-style Bronze/Silver/Gold architecture, data quality checks, schema enforcement, and lineage tracking • Build and optimize ETL/ELT workflows for marketing performance data at scale • Collaborate with analytics and data science teams on clean, well-modeled, accessible data assets • Build backend services and APIs in Python within established microservices, domain-boundary, caching, and queuing patterns • Implement service-to-service communication using REST, gRPC, and event-driven patterns • Integrate with external marketing platforms, cloud services, and internal microservices • Implement authentication, authorization, rate limiting, and multi-tenant access controls • Write production-ready code, participate in code reviews, and mentor other engineers • Build and maintain CI/CD pipelines and infrastructure-as-code environments • Implement tracing, structured logging, metrics, and alerting • Optimize services for latency, concurrency, throughput, and cost efficiency • Contribute to automated testing, load testing, and resiliency practices with SRE • Collaborate with product, data, and SRE teams on shared backend designs across campaign activation domains

🎯 Requisitos

• At least 5 years of experience in backend engineering, data engineering, or distributed systems • Meaningful contributions to the design of services or pipelines • Strong, hands-on expertise in Python and modern backend frameworks such as FastAPI or Flask • Strong, hands-on proficiency with Databricks and PySpark • Practical experience with medallion-style Bronze/Silver/Gold data architecture, or strong willingness and aptitude to learn it quickly • Understanding of microservices, concurrency, async programming, and event-driven architectures • Proficiency with SQL and NoSQL databases such as PostgreSQL, DynamoDB, Redis, or MongoDB • Familiarity with lakehouse platforms • Hands-on experience with Docker, Kubernetes, and AWS • Experience with infrastructure-as-code tooling such as CloudFormation • Strong CI/CD experience with GitHub Actions, Argo, or similar • Working knowledge of observability practices, including logs, metrics, traces, and performance analysis • Ability to write clean, testable, well-structured production code • Fluent in English, verbal and written • Familiarity with AI/LLM systems and agentic workflow integration is beneficial • Experience with Kafka, Pub/Sub, or SQS is beneficial • Experience with Delta Lake, Unity Catalog, or similar lakehouse governance and optimization tools is beneficial • Experience with API gateways, caching layers, or service meshes is beneficial • Familiarity with marketing, advertising, or platform APIs is beneficial