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Data Infrastructure Engineer

Haystack United Kingdom
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Drive large-scale pipeline migrations and core platform development within data infrastructure. Work autonomously and ship high-quality code reliably, contributing to a Flink and Lakehouse architecture. Strong experience with Java, Python, Go, and GCP is required.

Key Highlights
Large-scale pipeline migrations
Core platform development
Flink and Lakehouse architecture
Key Responsibilities
Drive large-scale pipeline migrations and core platform development within data infrastructure
Work autonomously and ship high-quality code reliably
Contribute to a Flink and Lakehouse architecture
Technical Skills Required
Java Python GCP
Benefits & Perks
Fully remote work flexibility
Competitive hourly rate
Opportunity to work on critical data infrastructure projects
Nice to Have
Familiarity with JVM-based frameworks (Flink, Beam, Dataflow, or Spark)
Experience with BigQuery, SQL, Scala, and DevOps/Cloud infrastructure (Kubernetes)

Job Description


We are working with a global leader in providing innovative technology solutions and IT consulting, specialising in connecting top talent with cutting-edge projects.

The Role

  • Drive large-scale pipeline migrations and core platform development within data infrastructure
  • Work autonomously and ship high-quality code reliably
  • Contribute to a Flink and Lakehouse architecture
  • Jump into existing codebases quickly

What You'll Need

  • Strong experience with Java, Python, Go, and GCP
  • Ability to move quickly in ambiguous environments
  • Familiarity with JVM-based frameworks (Flink, Beam, Dataflow, or Spark) is a plus
  • Experience with BigQuery, SQL, Scala, and DevOps/Cloud infrastructure (Kubernetes) is a plus

What's On Offer

  • Opportunity to work on critical data infrastructure projects
  • Engage with advanced Flink and Lakehouse architectures
  • Fully remote work flexibility
  • Competitive hourly rate

Apply via Haystack today!


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