Senior Data Backend Engineer - Content and Contributor Intelligence (Remote - United Kingdom)

TN United Kingdom; London; Remote; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior Data Backend Engineer to join their innovative team. This remote role focuses on building scalable data platforms and services that enhance user experiences through advanced AI-driven features. You'll collaborate closely with machine learning engineers, designing robust systems for real-time data processing and API development. Embrace the opportunity to take full responsibility for projects from day one in a dynamic environment that values collaboration, creativity, and professional growth. Enjoy competitive benefits, including flexible hours and generous holiday allowances, while contributing to impactful solutions in an exciting field.

Benefits

Competitive salary

Pension scheme

Employee stock purchase plan

25 days paid holiday

Remote working expense reimbursement

Caregiver reimbursement

Private health insurance

Flexible hours

Wellness expense allowance

Quarterly team offsites

Qualifications

• Strong backend engineering experience with Python or similar languages.
• Proficiency in SQL and NoSQL databases, especially Cassandra.
• Experience with real-time data streaming technologies like Kafka.

Responsibilities

• Design and maintain scalable backend systems and data pipelines.
• Collaborate with ML engineers to integrate LLM-based models.
• Develop APIs and services for Review Insights and Business Summaries.

Skills

Python

Java

C++

SQL

NoSQL

Kafka

Flink

Spark

API Design

Service-oriented Architecture

Tools

Cassandra

Job description

Social network you want to login/join with:

Senior Data Backend Engineer - Content and Contributor Intelligence (Remote - United Kingdom), London

col-narrow-left

Client:

Yelp

Location:

London, United Kingdom

Job Category:

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

cc88372433cf

Job Views:

4

Posted:

02.05.2025

Expiry Date:

16.06.2025

col-wide

Job Description:

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 within their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. Our goal is to help our users, grow as engineers, and have fun in a collaborative environment.

Yelp’s mission to connect people with great local businesses relies on powerful data infrastructure and backend systems that can scale across millions of users and businesses. As a Senior Data Backend Engineer on the Content and Contributor Intelligence team, you will play a key role in building data platforms and services that power Yelp’s innovative GenAI-driven features, including review insights, business summaries, and conversational search experiences.

You will work closely with machine learning engineers to design and implement robust, scalable systems that process and serve data at scale. Your work will include streaming real-time content signals, building APIs for ML models, and managing large-scale distributed data stores, directly impacting the consumer experience on Yelp.

This role requires you to be located in the United Kingdom. We encourage you to apply even if you don’t meet every requirement; at Yelp, we value great people over checklists.

What you'll do:

• Design, build, and maintain scalable backend systems and data pipelines supporting ML-powered features across Yelp’s app.
• 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 and maintain 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 backend systems in production.
• Contribute to engineering best practices and mentor junior engineers.

What it takes to succeed:

• Strong backend engineering experience, ideally in Python or similar languages (e.g., Java, C++).
• Proficiency with SQL and NoSQL databases, experience with distributed data stores like Cassandra.
• Experience with real-time data streaming technologies such as Kafka and Flink.
• Familiarity with large-scale data processing frameworks like Spark.
• Solid understanding of API design, service-oriented architecture, and production system reliability.
• A 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 responsibility for projects from day one, a collaborative team, and a dynamic work environment.
• Competitive salary, pension scheme, and optional employee stock purchase plan.
• 25 days paid holiday (rising to 29 with service), plus one floating holiday.
• £150 monthly reimbursement for remote working expenses.
• £81 caregiver reimbursement for dependent care.
• Private health insurance, including dental and vision.
• Flexible hours and meeting-free Wednesdays.
• Regular hackathons, bi-weekly learning groups, and productivity spending to support your growth.
• Opportunities to participate in digital events and conferences.
• £81 monthly wellness expense allowance.
• Quarterly team offsites.