
501 - 1000 employees
Founded 2011
💳 Fintech
🔒 Cybersecurity
🤖 Artificial Intelligence
Fintech • Cybersecurity • Artificial Intelligence
Feedzai is a leading cloud platform that specializes in managing financial risk by combating fraud and financial crimes using advanced machine learning technology. The company analyzes trillions of dollars in transactions each year to protect major corporations from fraud and money laundering. With a diverse range of roles across the globe and a commitment to employee well-being and development, Feedzai fosters a culture of learning and innovation in the financial technology sector.
🕒 December 19, 2025
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501 - 1000 employees
Founded 2011
💳 Fintech
🔒 Cybersecurity
🤖 Artificial Intelligence
Fintech • Cybersecurity • Artificial Intelligence
Feedzai is a leading cloud platform that specializes in managing financial risk by combating fraud and financial crimes using advanced machine learning technology. The company analyzes trillions of dollars in transactions each year to protect major corporations from fraud and money laundering. With a diverse range of roles across the globe and a commitment to employee well-being and development, Feedzai fosters a culture of learning and innovation in the financial technology sector.
• Re-architect and scale existing big data processing components powering DSF. • Analyse workload patterns (Spark jobs, notebook activity, DS API usage) and drive performance, reliability, and cost improvements. • Ensure stability of Spark jobs running on EMR or Kubernetes clusters. • Operate and evolve Hadoop ecosystem components (HDFS, YARN) and Spark runtimes. • Maintain and improve ingestion pipelines between Runtime and DSF (Firehose, Glue → S3). • Improve the developer and power-user experience across JupyterLabs and the DS API. • Collaborate with product engineers, data scientists, and platform teams on DSF roadmap execution. • Own services throughout their lifecycle following DevOps practices (“you build it, you run it”).
• 5+ years of experience building and operating distributed big data systems • Strong experience with Apache Spark - tuning, debugging, orchestration • Strong programming fundamentals (Java required; Scala or Python a plus) • Solid knowledge of the Hadoop ecosystem (HDFS, YARN) • Experience operating Linux-based systems in cloud environments • Familiarity with JupyterHub/JupyterLabs workflows • Experience designing and operating ETL/ELT pipelines • Comfort with continuous delivery, monitoring, and on-call responsibilities • Ability to work autonomously on complex technical challenges
• Health insurance and wellness programs • Professional development opportunities • Flexible working hours • Remote work options
Apply Now🕒 October 3, 2025
Data Engineer focusing on improving data pipelines for Veeva Link, a life sciences cloud solution. Join a mission-driven organization supporting rapid therapy development.
Apache
AWS
Cloud
Google Cloud Platform
Java
PySpark
Python
Spark