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

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

Job summary

Join an innovative firm as a Senior Data Backend Engineer, where you'll design and maintain scalable backend systems that power cutting-edge features. In this dynamic role, you will collaborate with machine learning engineers to create robust data platforms, ensuring high availability and performance for millions of users. Enjoy a competitive salary, flexible working hours, and exciting opportunities for professional growth. This is an ideal position for those passionate about backend engineering and eager to make a significant impact in a collaborative environment.

Benefits

Flexible Hours

Private Health Insurance

25 Days Paid Holiday

Monthly Remote Working Reimbursement

Caregiver Reimbursement

Wellness Expense Allowance

Quarterly Team Offsites

Regular Hackathons

Learning Groups

Productivity Support

Qualifications

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

Responsibilities

• Design, build, and maintain scalable backend systems and data pipelines.
• Collaborate with ML engineers to integrate LLM-based models.
• Manage large-scale distributed systems and databases.

Skills

Backend Engineering (Python, Java, C++)

SQL Databases

NoSQL Databases

Distributed Systems (Cassandra)

Real-time Data Streaming (Kafka, Flink)

Large-scale Data Processing (Spark)

API Design

Service-oriented Architecture

Collaboration with ML Engineers

Curiosity and Initiative

Tools

Kafka

Flink

Spark

Cassandra

Job description

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

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Client:

Yelp

Location:

Birmingham, United Kingdom

Job Category:

-

EU work permit required:

Yes

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Job Reference:

4c2e685ead4c

Job Views:

4

Posted:

02.05.2025

Expiry Date:

16.06.2025

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Job Description:

Summary

Yelp 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 strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having 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 the data platforms and services that power some of Yelp’s most innovative GenAI-driven features, from review insights and business summaries to 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. Whether it’s streaming real-time content signals, building APIs for ML models, or managing large-scale distributed data stores, your work will directly impact the consumer experience on Yelp.

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

What you'll do:

1. Design, build, and maintain scalable backend systems and data pipelines supporting ML-powered features across Yelp’s consumer app.
2. Collaborate with ML engineers to integrate LLM-based models and content embeddings into production services.
3. Manage large-scale distributed systems and databases (e.g., Cassandra, SQL/NoSQL) for structured and unstructured data.
4. Develop and maintain APIs and services for features like Review Insights, Business Summaries, and Conversational Search.
5. Create real-time and batch data processing pipelines using technologies like Kafka, Flink, and Spark.
6. Ensure high availability, performance, and reliability of backend systems in production.
7. Contribute to engineering best practices and mentor junior engineers.

What it takes to succeed:

1. Strong backend engineering experience, preferably in Python or similar languages (e.g., Java, C++).
2. Proficiency with SQL and NoSQL databases, and experience with distributed data stores like Cassandra.
3. Experience with real-time data streaming technologies such as Kafka and Flink.
4. Familiarity with large-scale data processing frameworks like Spark.
5. Understanding of API design, service-oriented architecture, and system reliability.
6. Collaborative mindset and ability to work closely with ML engineers and cross-functional teams.
7. Curiosity and initiative to explore new technologies and drive impactful solutions.

What you'll get:

1. Full responsibility for projects from day one, a collaborative team, and a dynamic environment.
2. Competitive salary, pension scheme, and optional stock purchase plan.
3. 25 days paid holiday (rising to 29 with service), plus a floating holiday.
4. £150 monthly reimbursement for remote working expenses.
5. £81 caregiver reimbursement for dependent care.
6. Private health insurance, including dental and vision.
7. Flexible hours and meeting-free Wednesdays.
8. Regular Hackathons, learning groups, and productivity support.
9. Opportunities for digital events and conferences.
10. £81/month wellness expense allowance.
11. Quarterly team offsites.