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

TN United Kingdom; Leeds; Remote; GBP 50,000 - 90,000; Full time

Job summary

An innovative company is seeking a Senior Data Backend Engineer to join their dynamic team in the UK. This role focuses on building robust data platforms that power cutting-edge features in a collaborative environment. You will work closely with machine learning engineers to design scalable systems, manage large datasets, and develop APIs that enhance user experiences. With a commitment to individual growth and a supportive culture, this position offers exciting opportunities to impact the consumer experience significantly. Join a forward-thinking team that values creativity and initiative, and help drive the future of data-driven solutions.

Benefits

Pension Scheme

Employee Stock Purchase Plan

25 Days Paid Holiday

Monthly Remote Working Reimbursement

Caregiver Reimbursement

Private Health Insurance

Flexible Working Hours

Hackathons

Learning Groups

Wellness Expense Reimbursement

Qualifications

• Strong backend engineering experience in Python or similar languages.
• Proficiency with SQL and NoSQL databases, especially Cassandra.

Responsibilities

• Design and maintain scalable backend systems and data pipelines.
• Collaborate with ML engineers to integrate models into production services.

Skills

Backend Engineering

Python

Java

C++

SQL

NoSQL

Kafka

Flink

Spark

API Design

Tools

Cassandra

Distributed Data Stores

Job description

Social network you want to login/join with:

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

Client: Yelp

Location: Leeds, United Kingdom

Job Category: -

EU work permit required: Yes

Job Reference: af1efd67b8cd

Job Views: 4

Posted: 02.05.2025

Expiry Date: 16.06.2025

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 in 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’d love to have you apply, even if you don’t meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.

What you'll do:

• Design, build, and maintain scalable backend systems and data pipelines that support ML-powered features across Yelp’s consumer 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 that power features like Review Insights, Business Summaries, and Conversational Search.
• Build real-time and batch data processing pipelines using technologies like Kafka, Flink, and Spark.
• Ensure high availability, performance, and reliability of backend systems in a production environment.
• Contribute to the team’s 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 in working with SQL and NoSQL databases, and 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 the ability to work closely with ML engineers and cross-functional partners.
• 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, a pension scheme, and an optional employee stock purchase plan.
• 25 days paid holiday (rising to 29 with service), plus one floating holiday.
• £150 monthly reimbursement to help cover remote working expenses.
• £81 caregiver reimbursement to support dependent care for families.
• Private health insurance, including dental and vision.
• Flexible working hours and meeting-free Wednesdays.
• Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth.
• Opportunities to participate in digital events and conferences.
• £81 per month to use toward qualifying wellness expenses.
• Quarterly team offsites.

Closing