Senior Data Engineer, Algolia

• Solid experience with data pipelines and event-driven architectures at scale
• Proficiency in Go or another backend language, with the ability to quickly adapt to new codebases
• Strong knowledge of distributed systems, APIs, and messaging platforms like Pub/Sub
• Hands-on experience with BigQuery or similar data warehouses for analytics
• A track record of collaborating with cross-functional teams and contributing to production-critical systems
• We’re looking for someone who can live our values:
• GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment
• TRUST - Willingness to trust our co-workers and to take ownership
• CANDOR - Ability to receive and give constructive feedback
• CARE - Genuine care about other team members, our clients and the decisions we make in the company
• HUMILITY - Aptitude for learning from others, putting ego aside

Desirable

• The Events team owns Algolia’s customer-facing Events platform, the entry point for sending user interaction data into our system
• These events drive improvements in analytics, personalization, and search relevance for thousands of customers. We are continuing to expand and improve this existing system, which means you’ll play a critical role in onboarding to a mature product, helping a newly built team grow in confidence, and shaping the future of this high-volume, real-time data pipeline
• As a Senior Data Engineer, you’ll help scale and evolve the backbone of Algolia’s Events platform
• Designing and maintaining reliable pipelines for ingesting and processing both real-time and batch data from diverse external sources (including Segment, Google Analytics, and direct customer integrations)
• Owning and optimizing systems that run at massive scale, ensuring low-latency event delivery and high reliability
• Quickly getting up to speed with an established production system, and helping your teammates do the same
• Partnering with backend, frontend, and product teams to align technical decisions with customer-facing needs
• Contributing to architectural improvements that make our event ingestion platform more robust, efficient, and easy to extend
• Sharing knowledge across the team and mentoring new engineers to help them grow
• Team’s current stack
• Go backend on GCP and Kubernetes, pipelines built with BigQuery and Pub/Sub, integrating with a React + Rails frontend