Greenfield Real-Time Data Platform Engineer

Doghouse Recruitment; Amsterdam; On-site; EUR 90,000 - 125,000; Full time

Job summary

Doghouse Recruitment represents a growing trading firm where speed is the product. You will build a shared real-time event-streaming platform to replace bespoke pipelines, enabling data to move across the business with millisecond latency.

As the first hire on a brand-new data platform team, you design and operate the backbone using Kafka/Redpanda, Debezium, Terraform, ArgoCD and Kubernetes, with ownership and scalability at the core.

Qualifications

• Production experience with Kafka or Redpanda at meaningful scale.
• A track record of reasoning about latency, throughput, and reliability trade-offs in real-time or high-volume environments.
• Comfort with change-data-capture tooling and streaming/ETL patterns.
• Experience with infrastructure-as-code and GitOps (Terraform, ArgoCD, Kubernetes).

Responsibilities

• Designing and operating an event-streaming platform (Kafka or Redpanda) as the backbone for how data moves across the business.
• Building change-data-capture pipelines (e.g. Debezium) that pull data out of existing systems with minimal disruption.
• Making deliberate latency trade-offs and designing tiered delivery for fast paths.
• Running the platform on IaC and GitOps (Terraform, ArgoCD, Kubernetes) so it is reproducible and scalable.

Skills

Kafka/Redpanda scale

Latency optimization

Change-data-capture tooling

Infra as code & GitOps

Streaming/ETL patterns

Tools

Kafka

Redpanda

Debezium

Terraform

ArgoCD

Kubernetes

Job description

Doghouse Recruitment represents a growing trading firm where speed is the product. You will build a shared real-time event-streaming platform to replace bespoke pipelines, enabling data to move across the business with millisecond latency.

As the first hire on a brand-new data platform team, you design and operate the backbone using Kafka/Redpanda, Debezium, Terraform, ArgoCD and Kubernetes, with ownership and scalability at the core.