Data Backend Engineer - Product Monetization (Remote - United Kingdom)
AI Summary ✨
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.