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Jobs/Senior Data Engineer Role/Rover.com - Senior Data Engineer, Platform

Rover.com - Senior Data Engineer, Platform

Rover.comBarcelona - Hybrid+ Equity3w ago
In OfficeSeniorEMEAData AnalyticsSenior Data EngineerPlatform EngineerSenior Data ScientistDocumentationPython

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Requirements

• Skills needed: Senior data engineer experience on a platform. • Years of Experience: Minimum of 5 years in the field as implied for senior roles but not explicitly stated. • Education: Bachelor'curse degree (BSc) or higher, preferably with relevant coursework such as statistics and programming languages like Python/R is commonly expected for data engineering positions though it’s not mentioned here. • Certifications: None specifically listed in the job posting provided. • Must-haves: Experience working on a platform similar to Rover's own, which may be implied but isn't explicitly stated as required or preferred qualification.

Responsibilities

• Lead cross team data projects to ensure our pipelines are reliable, efficient, and testable. • Communicate efficiently across team boundaries to establish overarching data architecture, and provide guidance to individual teams. • Deliver well-defined, transformed, tested, documented, and code-reviewed DBT models and ETL pipelines. • Mentor fellow Engineers to help develop and grow their technical skills. • Build self-service tools that empower engineers, data scientists, and analysts to quickly get key business insights. • Understand our Rover's data needs and identifying inefficiencies in the Data Platform to help prioritize and inform our team's roadmap.

Benefits

• Salary: Explicitly stated as a benefit. • Equity: Mentioned in the job posting; considered part of compensation benefits for senior roles at Rover.com. • PTO: Stated explicitly as a benefit, including details about accrual and carry over policies. • Insurance: Listed among other healthcare benefits provided by Rover.com to its employees. • Remote Work Options: Explicitly stated as available in some roles within Rover.com to accommodate different working preferences.

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