Senior Data Engineer - Product

As a Senior Data Engineer in Pulse Engineering, you will ensure the stability, scalability, and performance of DSF, working at the intersection of distributed systems, big data engineering, and developer experience. Your work will ensure that DS workloads run reliably, efficiently, and at scale, directly supporting the Risk Engine in production.

You are a Big Data specialist with deep hands-on expertise in Apache Spark and distributed data systems. You know how to tune jobs, troubleshoot cluster behaviour, and design scalable data workflows. At the same time, you’re a software engineer at heart — someone who writes clean, maintainable code, understands APIs, and can build platform components in Java with first-principles engineering discipline. You take pride in operating what you build, debugging complex distributed systems, and enabling data scientists and analysts with a platform that is reliable, predictable, and performant.

Our philosophy across Engineering includes the following key ideas, which you will have a key role promoting in your team: 

• Teams operate with a “you build it, you run it” DevOps mindset, taking end-to-end ownership of development, deployment, and operations. You'll drive a culture focused on automation, observability, and operational excellence, enabling continuous delivery with confidence.
• Architecture evolves towards a decoupled, microservice-based architecture, positioning it to scale efficiently in a multi-tenant, cloud-native environment. This effort is central to Feedzai’s long-term vision and product evolution

• 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”) and participate in an on-call rotation for our mission-critical platform, taking end-to-end ownership to ensure 24/7 reliability, with dedicated compensation.

• 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
  
  

• Experience running Spark on EMR or Kubernetes.
• Experience with Kubernetes, AWS S3, AWS Glue, Nessie, Trino, Spark, Kafka, Iceberg and Airflow
• Experience building data pipelines or automation for data-heavy workflows
• Contributions to OSS, especially in the Big Data ecosystem
• Experience developing or maintaining DS/ML engineering platforms.

The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and  discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!

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You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!

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