At a Glance
- Tasks: Design and maintain data pipelines for Algolia’s Events platform, ensuring high reliability and low latency.
- Company: Join Algolia, a leader in AI Search, empowering over 17,000 businesses worldwide.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on how users interact with data at scale in a dynamic environment.
- Qualifications: Experience with data pipelines, proficiency in Go, and strong knowledge of distributed systems.
- Other info: Collaborative team culture focused on autonomy, diversity, and continuous learning.
The predicted salary is between 43200 - 72000 £ per year.
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 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. 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:
- 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.
Algolia’s flexible workplace model is designed to empower all Algolians to fulfil 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 team members the option to work remotely either as fully remote or hybrid-remote employees.
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.
We’re looking for talented, passionate people to help build the world’s best search and discovery technology. We value autonomy, diversity, and collaboration. We’re committed to creating an inclusive workplace where everyone is respected and supported—regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background.
IMPORTANT NOTICE FOR CANDIDATES - Recruitment Fraud Notice: We’ve recently seen an increase in recruitment scams targeting job seekers. To help protect yourself, please keep the following in mind: Our open positions may appear on third-party job boards, but the best way to apply safely is directly through our careers page. All genuine communication from Algolia will come from an @algolia.com email address. If you receive an email from someone claiming to work at Algolia who does not have an @algolia.com email address, please do not respond or share any personal information. We’ll never ask for payments, purchases, or financial details during the hiring process.
Senior Data Engineer, Events employer: Algolia
Contact Detail:
Algolia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, Events
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Algolia on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you're aiming for a Senior Data Engineer role, be ready to discuss data pipelines and event-driven architectures. Practice coding challenges and system design questions to show off your expertise.
✨Tip Number 3
Show your passion for Algolia’s mission! During interviews, share how your values align with theirs—grit, trust, candor, care, and humility. This will help you stand out as someone who truly fits into their culture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the safest way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team at Algolia.
We think you need these skills to ace Senior Data Engineer, Events
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Engineer role. Highlight your experience with data pipelines and event-driven architectures, as well as any relevant projects that showcase your skills in Go or similar languages.
Showcase Your Team Spirit: We love collaboration at Algolia! In your application, mention any experiences where you've worked with cross-functional teams. This will show us that you can partner effectively with backend, frontend, and product teams.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to describe your achievements and how they relate to the role. We appreciate candidates who can communicate complex ideas simply!
Apply Through Our Website: To ensure your application is seen by the right people, make sure to apply directly through our careers page. This way, you’ll avoid any recruitment scams and get your application in front of us safely!
How to prepare for a job interview at Algolia
✨Know Your Data Pipelines
Make sure you brush up on your knowledge of data pipelines and event-driven architectures. Be ready to discuss your past experiences with scaling systems and how you've optimised them for performance. This will show that you understand the core responsibilities of the Senior Data Engineer role.
✨Familiarise Yourself with the Tech Stack
Take some time to get acquainted with Algolia's tech stack, especially Go, BigQuery, and Pub/Sub. If you have experience with GCP and Kubernetes, be prepared to share specific examples of how you've used these technologies in production environments.
✨Collaboration is Key
Since this role involves working closely with cross-functional teams, think of examples where you've successfully collaborated with backend, frontend, or product teams. Highlight how you aligned technical decisions with customer needs, as this will demonstrate your ability to work in a team-oriented environment.
✨Embrace Algolia's Values
Understand and embody Algolia's values: grit, trust, candor, care, and humility. Prepare to discuss how you've demonstrated these values in your previous roles, as cultural fit is just as important as technical skills in their hiring process.