Senior Data Backend Engineer - Content and Contributor Intelligence (Remote - United Kingdom)
Yelp Belfast, Northern Ireland, United Kingdom
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Senior Data Backend Engineer - Content and Contributor Intelligence (Remote - United Kingdom)
Yelp Belfast, Northern Ireland, United Kingdom
5 days ago Be among the first 25 applicants
Join to apply for the Senior Data Backend Engineer - Content and Contributor Intelligence (Remote - United Kingdom) role at Yelp
Summary
Yelp's engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we support their growth with mentorship and collaboration. Our goal is to help users, grow as engineers, and have fun in a collaborative environment.
Yelp’s mission to connect people with great local businesses relies on scalable data infrastructure and backend systems. As a Senior Data Backend Engineer on the Content and Contributor Intelligence team, you will build data platforms and services powering innovative GenAI-driven features, such as review insights, business summaries, and conversational search experiences.
You will collaborate with machine learning engineers to design and implement robust, scalable systems that process and serve data at scale, including streaming real-time content signals, building APIs for ML models, and managing large-scale distributed data stores. Your work will directly impact the user experience on Yelp.
This role requires you to be located in the United Kingdom. We welcome applications even if you don’t meet every requirement; at Yelp, we value great people over ticking every box.
What You'll Do
* Design, build, and maintain scalable backend systems and data pipelines supporting ML-powered features.
* Collaborate with ML engineers to integrate LLM-based models and content embeddings into production services.
* Work with large-scale distributed systems and databases (e.g., Cassandra, SQL/NoSQL) to manage and serve structured and unstructured data.
* Develop APIs and services for features like Review Insights, Business Summaries, and Conversational Search.
* Build real-time and batch data processing pipelines using Kafka, Flink, and Spark.
* Ensure high availability, performance, and reliability of systems in production.
* Contribute to engineering best practices and mentor junior engineers.
What It Takes To Succeed
* Strong backend experience, ideally in Python, Java, or C++.
* Proficiency with SQL and NoSQL databases, including Cassandra.
* Experience with real-time data streaming technologies like Kafka and Flink.
* Familiarity with large-scale data processing frameworks like Spark.
* Understanding of API design, service-oriented architecture, and system reliability.
* Collaborative mindset and ability to work closely with ML engineers and cross-functional teams.
* Curiosity and initiative to explore new technologies and drive impactful solutions.
What You'll Get
* Full project responsibility from day one in a collaborative, dynamic environment.
* Competitive salary, pension scheme, and stock purchase plan.
* 25 days paid holiday (rising to 29), plus a floating holiday.
* £150 monthly reimbursement for remote work expenses.
* £81 caregiver reimbursement for dependent care.
* Private health insurance including dental and vision.
* Flexible hours and meeting-free Wednesdays.
* Regular Hackathons, learning groups, and support for career growth.
* Participation in digital events and conferences.
* Monthly wellness expense allowance of £81.
* Quarterly team offsites.
Yelp values diversity and is an equal opportunity employer. We consider all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, or other protected statuses.
Note: Yelp does not accept agency resumes and is not responsible for fees related to unsolicited resumes.
Additional Details
* Seniority level: Mid-Senior level
* Employment type: Full-time
* Industries: Software Development, Technology, Internet, Advertising
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