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

Requirements:

• Experience writing code in a modern object-oriented programming language (e.g., Python, Java, or C++).
• Strong problem-solving and critical-thinking skills.
• Comfortable in navigating and understanding complex codebases and distributed systems.
• Ability to communicate effectively to technical and non-technical cohorts alike.
• Self-motivated with a proactive approach to identifying opportunities and recommending scalable, creative solutions.

Nice to haves:

• Exposure to some of the following technologies: Python, AWS Redshift, AWS Athena / Apache Presto, Big Data technologies (e.g S3, Hadoop, Hive, Spark, Flink, Kafka etc), NoSQL systems like Cassandra, DBT.

What you'll be doing:

• Contribute to the experimentation and development of new ad products at Yelp.
• Design, build, and maintain efficient data pipelines using large-scale processing tools like Apache Spark to transform ad-related data.
• Manage high-volume, real-time data streams using Apache Kafka and process them with frameworks like Apache Flink.
• Estimate timelines for projects, feature enhancements, and bug fixes.
• Work with large-scale data storage solutions, including Apache Cassandra and various data lake systems.
• Collaborate with cross-functional teams, including engineers, product managers and data scientists, to understand business requirements and translate them into effective system designs.
• Support on-call rotations as needed to operate the team.

Perks and benefits:

• 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.