Engineering Manager, Data Processing

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Logo of Yelp

Yelp

1001 - 5000 employees

Founded 2004

Yelp is a platform that connects consumers with local businesses, allowing users to discover and review a wide variety of services including restaurants, home services, and automotive services. It aims to help consumers find trusted recommendations for goods, services, and experiences in their local area, while offering business owners tools to manage customer interactions and promote their offerings.

📋 Description

• Foster and build a fun, diverse, and inclusive culture that reflects Yelp’s values. • Provide mentorship and guidance to the team critical incident resolution, and contributions to strategic projects. • Develop clear and trusted data streaming platforms that follow a “data as a product” philosophy to support company-wide decision-making. • Lead the design, development, and scaling of modern data pipelines that support analytical and operational use cases while driving innovation through AI assisted development, monitoring, schema validation, and performance tuning. • Define and enforce best practices for pipeline architecture, testing, and documentation. • Own and manage SLAs for streaming systems, proactively ensuring quality, reliability, and incident response readiness. • Partner cross-functionally with engineering and business teams to gather requirements and deliver integrated solutions. • Continuously improve the internal developer experience through tooling, automation, and documentation such as project wikis and runbooks.

🎯 Requirements

• Experience in engineering or backend development roles, with demonstrated success building large-scale maintainable data streaming systems. • Several years of experience leading and mentoring engineering teams, preferably in the Streaming space, with a focus on impact, growth, and collaboration. • Good communication skills to engage with a wide range of technical and non-technical audiences while driving strategies related to streaming architecture, both batch and real-time processing frameworks (e.g., Paimon, Kafka, Spark, Flink). • Proven background in cloud-native solutions (AWS, GCP, or Azure). • Command of your favorite modern programming language: Python, Ruby, Java, Objective-C, C++, etc. • Committed to creating a culture of operational excellence, documentation, trust, and continuous improvement across the team and organization.

🏖️ Benefits

• 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. • €86 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. • €86 per month to use toward qualifying wellness expenses. • Quarterly team offsites.

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