Senior Data Engineer, Algolia
Events
AI search solutions
Open for applications
AI search solutions
501-1000 employees
Open for applications
501-1000 employees
Company mission
To help businesses and developers understand their online users and show them exactly what they need.
Role
Who you are
- 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
- 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
What the job involves
- 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
Our take
While in-site searching has been available for some time from web search servers such as Google and Bing, its functionality is limited due to it relying on general web scraping techniques which can miss relevant information. By contrast Algolia indexes only the company's site, allowing its search to serve accurate results extremely swiftly, which helps to drive sales conversions aside from making sites far more usable. The efficacy of this solution can be seen from its customer base of over 10,000 companies including the likes of Slack, Zendesk and Lacoste.
To diversify and increase the product range, Algolia have expanded into other real-time APIs such as product recommendations available for eCommerce websites. With the company performing extremely well over the last few years, Algolia have recruited key senior executives to further its growth. As the company continues to scale it seems likely that an IPO is not too distant a prospect.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
Jul 2021
$150m
SERIES D
Oct 2019
$110m
SERIES C
Total funding: $334m
Company HQ
Barron Park, Palo Alto, CA
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