JOB DESCRIPTION SummaryAre you intrigued by data? Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers — and all of these numbers are constantly growing.As a Senior Software Engineer (Data Backend) within the Ads group, you will be joining a team that is responsible for optimizing the delivery of off-Yelp-platform ads. In this role you will turn raw data into valuable signals by building elegant, scalable systems that use data warehouses, batch processing, and stream processing solutions.Yelp engineering culture is driven by our : 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.This opportunity requires you to be located in the Republic of Ireland. We’d love to have you apply, even if you don’t feel you 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:Develop reliable, scalable, and maintainable systems that will power data-intensive applications such as relevance/targeting models, optimal pricing & allocation policies, and auction bidding strategies.Build & maintain backend infrastructure for machine learning, optimisation, experimentation, data analytics, or product feature use-cases.Work closely with software engineers, applied & data scientists, product managers, and other business stakeholders in mid-to-large cross-functional projects.Independently manage and lead software development projects.Mentor other engineers on both technical and non-technical topics.What it takes to succeed:Expertise in Python.Passion for working with, and making sense of, large volumes of data. Proficiency with large-scale data processing and distributed systems (e.g. Apache Spark).Experience or an interest in developing infrastructure supporting data-intensive applications (e.g. ML-driven systems).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.€95 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.€95 per month to use toward qualifying wellness expenses. Quarterly team offsites.Closing