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Op deze pagina: Dit ga je doen Dit krijg je Dit bieden we nog meer Dit vragen wij Hier kom je te werken Bijzonderheden Over de functiegroep Stel gerust je vraag Dit ga je doen Pas jij jouw ervaring als data engineer of…
SMARTVÉLO ist ein stark wachsendes Unternehmen für nachhaltige E-Mobilitäts-Lösungen. Wir entwickeln E-Bikes, die den urbanen Alltag revolutionieren, und setzen auf höchste Qualität sowie exzellenten Service. Werde…
Principal Software Engineer designs and evolves Workato's enterprise-grade platform architecture using Go and Rust, focusing on scalability, security, and reliability for real-time data orchestration.
About the role: The Data Platform group builds and operates the foundational data systems that power Modular’s business, from product telemetry to GTM analytics to cross-functional insights used by Engineering,…
Build and operate real-time data processing pipelines and event-driven systems for network monitoring, using Java, Python, Apache Flink, Kafka, and Dagster on Kubernetes in NYC.
Design and build large-scale distributed data systems and platforms using Apache Spark, Kafka, and Flink, with Python as the primary language and Kubernetes/Docker/Terraform for infrastructure.
About the role We are hiring a staff software engineer (IC4) for the Telemetry Data Platform team, which carries product usage telemetry for the entire ServiceNow platform on a stack built with Kubernetes, Kafka, and…
Design and develop high-performance, scalable Java/Spring applications, mentor engineers, and drive CI/CD processes in an agile team.
You will build and maintain Kubernetes capabilities for stateful data workloads including Flink Kafka and distributed databases. You will create CI/CD and GitOps workflows improve observability and reliability automate…
Key Responsibilities Design, build, and maintain scalable, reliable data pipelines (batch and streaming). Develop and optimise data models, warehouses, and lakehouse architectures. Build and automate CI/CD pipelines…
This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of…
Booking Holdings (NASDAQ: BKNG) is the world leader in online travel and related services, provided to customers and partners in over 220 countries and territories through six primary consumer-facing brands - , KAYAK,…
The Applied AI Engineer will design, build, and deploy AI-powered products and intelligent agents to automate finance workflows at Moss. The role involves working with frontier language models, RAG, and orchestration frameworks to deliver production-ready, customer-facing AI solutions.
Staff Software Engineer designs and builds AI agent governance capabilities, scalable data pipelines, and identity governance features using cloud platforms and frameworks like Spark, BigQuery, and MCP.
Anstellungsdetails Permanent Contract, Full- or Part-Time, Remote or Cologne / Düsseldorf / Darmstadt / Berlin Info Who we areWe are the tech powerhouse behind Kaufland’s international online marketplaces and a company…
Build and maintain scalable data pipelines, lakes, and real-time streaming systems to power trading analytics, ML, and fintech products using GCP, AWS, dbt, and Airflow.
Build and optimize offline and real-time data pipelines using Hadoop, Hive, Flink, and Kafka for a leading crypto exchange to support product data development and business intelligence.
Build and optimize real-time and offline data pipelines using Flink, Hadoop, and Kafka for a crypto exchange. Focus on data warehouse modeling and big data architecture design to support business intelligence.
Manage and optimize data pipelines using cloud computing, big data technologies, and Flink. Requires strong communication, a CS degree, 3+ years experience, and fluency in English and Chinese.
Nosso Modo de Fazer no Time: Transforme sua carreira com o iFood! Somos uma empresa brasileira de tecnologia referência na América Latina. Por meio de soluções inovadoras, conectamos milhares de restaurantes a milhões…
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