Senior Data Engineer, Events
Confirmed live in the last 24 hours
Algolia
Job Description
At Algolia, we’re proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests — four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined.
In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens.
The Team
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.
The role will consist of:
As a Senior Data Engineer, you’ll help scale and evolve the backbone of Algolia’s Events platform. This means:
- 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.
You might be a fit if you have:
Must-haves
- 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.
Nice-to-haves
- Familiarity with GCP and Kubernetes in production environments.
- Exposure to frontend systems (React, Rails) and how they interact with backend data pipelines.
- Experience integrating with customer-facing APIs or analytics connectors.
- Background in onboarding to inherited systems and driving re-architecture where needed.
Team’s current stack
Go backend on GCP and Kubernetes, pipelines built with BigQuery and Pub/Sub, integrating with a React + Rails frontend.
FLEXIBLE WORKPLACE STRATEGY:
Algolia’s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual’s impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when.
We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our tea