Voodoo

Experienced Data Engineer – Streaming Platform

Voodoo

full-time

Posted on:

Location Type: Hybrid

Location: Paris • France

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Tech Stack

ApacheAWSCloudDistributed SystemsDockerGoogle Cloud PlatformJavaKafkaKubernetesPulsarPythonScalaSparkTerraform

About the role

  • Build, maintain, and optimize real-time data pipelines to process bid requests, impressions, clicks, and user engagement data.
  • Develop scalable solutions using tools like Apache Flink, Spark Structured Streaming, or similar stream processing frameworks.
  • Collaborate with backend engineers to integrate OpenRTB signals into our data pipelines and ensure smooth data flow across systems.
  • Ensure data pipelines handle high-throughput, low-latency, and fault-tolerant processing in real-time.
  • Write clean, well-documented code in Java, Scala, or Python for distributed systems.
  • Work with cloud-native messaging and event platforms such as GCP Pub/Sub, AWS Kinesis, Apache Pulsar, or Kafka to ensure reliable message delivery.
  • Assist in the management and evolution of event schemas (Protobuf, Avro), including data consistency and versioning.
  • Implement monitoring, logging, and alerting for streaming workloads to ensure data integrity and system health.
  • Continuously improve data infrastructure for better performance, cost-efficiency, and scalability.

Requirements

  • 3-5+ years of experience in data engineering, with a strong focus on real-time streaming systems.
  • Familiarity with stream processing tools like Apache Flink, Spark Structured Streaming, Beam, or similar frameworks.
  • Solid programming experience in Java, Scala, or Python, especially in distributed or event-driven systems.
  • Experience working with event streaming and messaging platforms like GCP Pub/Sub, AWS Kinesis, Apache Pulsar, or Kafka.
  • Hands-on knowledge of event schema management, including tools like Avro or Protobuf.
  • Understanding of real-time data pipelines, with experience handling large volumes of event-driven data.
  • Comfortable working in Kubernetes for deploying and managing data processing workloads in cloud environments (AWS, GCP, etc.).
  • Exposure to CI/CD workflows and infrastructure-as-code tools such as Terraform, Docker, and Helm.
Benefits
  • Competitive salary upon experience
  • Comprehensive relocation package (including visa support)
  • Swile Lunch voucher
  • Gymlib (100% borne by Voodoo)
  • Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo
  • Child day care facilities (Les Petits Chaperons rouges)
  • Wellness activities in our Paris office
  • Unlimited vacation policy
  • Remote days
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringreal-time streaming systemsApache FlinkSpark Structured StreamingJavaScalaPythonevent schema managementevent-driven systemsKubernetes