Senior Data Engineer (Data Infrastructure)

TL;DR

Senior Data Engineer: Designing and building highly scalable backend systems processing petabytes of data with an accent on real-time insights, strict latency, and fault tolerance. Focus on redesigning and unifying inherited data pipelines, reasoning about concurrency, and optimizing data exchange mechanisms.

Location: Hybrid in France, Spain, Italy, Poland, or Portugal

Company

hirify.global is a global leader in experience analytics, providing an all-in-one platform for understanding customer online journeys.

What you will do

• Design and build highly scalable backend systems for petabytes of data with strict latency and performance constraints.
• Redesign and unify inherited data pipelines into a streamlined, scalable architecture.
• Work on large-scale, performance-critical systems handling high data volumes.
• Reason about concurrency, data consistency, fault tolerance, and backpressure in distributed systems.
• Develop efficient data formats and exchange mechanisms to optimize functionality and performance.
• Contribute to the continuous evolution of the core data pipeline.
• Collaborate with cross-functional teams to ensure data solutions align with strategic goals.

Requirements

• Experience: 6+ years as a mid-level or senior engineer with a strong software engineering foundation and core computer science concepts.
• Experience with dynamic complex systems in a rich ecosystem with many integrations.
• Hands-on experience tackling large-scale data challenges, focusing on scalability, low-latency processing, and fault-tolerant system design.
• Experience with cloud providers such as AWS and Azure, with comfort in writing infrastructure as code.
• Strong communication skills, with the ability to collaborate effectively in a team environment on-site and asynchronously with people around the world.
• Ability to thrive in a flat team structure, actively contributing to solving technical challenges alongside peers.

Nice to have

• Proficiency in Go and/or Scala.
• Experience with ClickHouse and/or SingleStore.
• Experience with Kubernetes.
• Experience using Kafka.

Culture & Benefits

• Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues.
• Work flexibility: hybrid and remote work policies.
• Generous paid time-off policy.
• Lifestyle allowance.
• A Culture Crew in every country to coordinate regular activities.
• All full-time employees receive stock options.
• Multiple Employee Resource Groups for support and advocacy.