Data Backend Engineer - Product Monetization (Remote - United Kingdom)

Yelp; City of Edinburgh; Remote; GBP 40,000 - 80,000; Full time

Job summary

An innovative firm is seeking a Data Backend Engineer to join their Product Monetization team. This role offers an exciting opportunity to work on scalable data systems that drive revenue through advertising. You'll design and develop data pipelines, manage real-time data streams, and collaborate with cross-functional teams. With a focus on ownership and collaboration, you'll enjoy a supportive environment that values creativity and problem-solving. This position is perfect for those looking to grow their skills in a dynamic and inclusive workplace.

Benefits

Competitive salary

Pension plan

Employee stock purchase plan

25 days paid holiday

Monthly remote work reimbursement

Private health insurance

Flexible hours

Wellness expense allowance

Participation in hackathons

Quarterly team offsites

Qualifications

• Experience coding in a modern object-oriented language.
• Strong problem-solving and critical-thinking skills.

Responsibilities

• Contribute to the development of new ad products.
• Design and maintain efficient data pipelines using Apache Spark.
• Manage high-volume data streams with Apache Kafka.

Skills

Python

Java

C++

Problem-solving

Critical thinking

Effective communication

Tools

Apache Spark

Apache Kafka

Apache Flink

Apache Cassandra

AWS Redshift

Hadoop

Job description

Join to apply for the Data Backend Engineer - Product Monetization (Remote - United Kingdom) role at Yelp

Yelp is seeking an entry-level Software Engineer excited to work at the intersection of data and backend engineering. You'll help design and develop systems that power Yelp’s advertising platform, including building SDKs for large-scale event ingestion and designing data pipelines for processing and analysis.

You’ll join the Product Monetization Platform team, responsible for collecting and processing ad-related events, supporting billing, analytics, machine learning, and ad serving. This role offers hands-on experience with scalable data systems and contributes directly to Yelp’s revenue products.

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

What You'll Do

1. Contribute to the experimentation and development of new ad products at Yelp.
2. Design, build, and maintain efficient data pipelines using tools like Apache Spark.
3. Manage high-volume, real-time data streams with Apache Kafka and frameworks like Apache Flink.
4. Estimate timelines for projects, features, and bug fixes.
5. Work with large-scale storage solutions such as Apache Cassandra and data lake systems.
6. Collaborate with cross-functional teams to understand requirements and translate them into system designs.
7. Support on-call rotations as needed.

What It Takes To Succeed

1. Experience coding in a modern object-oriented language (Python, Java, C++).
2. Strong problem-solving and critical-thinking skills.
3. Comfort with complex codebases and distributed systems.
4. Effective communication skills for technical and non-technical audiences.
5. Self-motivated with proactive problem-solving abilities.
6. Exposure to technologies like Python, AWS Redshift, Athena, Hadoop, Spark, Kafka, Cassandra, etc., is a plus.

What You'll Get

• Ownership of projects from day one in a collaborative environment.
• Competitive salary, pension, employee stock purchase plan.
• 25 days paid holiday, rising to 29, plus a floating holiday.
• Monthly remote work reimbursement (£150) and caregiver support (£81).
• Private health insurance, flexible hours, meeting-free Wednesdays.
• Participation in hackathons, learning groups, and career development activities.
• Wellness expense allowance (£81/month) and quarterly team offsites.

Yelp values diversity and is an equal opportunity employer. We do not accept agency resumes. Please do not forward resumes to any recruiting channels. Yelp is not responsible for fees related to unsolicited resumes.