data engineer for customer experience operations

Enfint; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Agoda — технологическая компания в индустрии туризма, занимающаяся обработкой данных и развитием инфраструктуры. Команда Data строит ETL/ELT пайплайны, модели данных и инструменты для аналитики, мониторинга и экспериментов.

Задачи включают создание и поддержание инструментов анализа, API и UI на базе Python/Java/Golang/JS, а также развитие самодостаточных дашбордов и сервисов для бизнес-подразделений.

Qualifikationen

• 8+ лет опыта в роли Data Engineer, Analytics Engineer или Data Analyst в среде, ориентированной на данные.
• Staff уровень требует 10+ лет опыта или эквивалентный объем и влияние, подтверждающий seniority.
• Глубокие знания SQL: сложные соединения, оконные функции, агрегации, оптимизация запросов.
• Опыт работы с крупным хранилищем данных или технологиями big data.
• Опыт ETL/ELT инструментов или оркестрационных фреймворков.

Aufgaben

• Разрабатывать, разворачивать и поддерживать масштабируемые ETL/ELT пайплайны для систем CEG и внешних инструментов.
• Оптимизировать модели данных для отчетности, мониторинга и экспериментов.
• Реализовывать проверки, аномалии и мониторинг критических наборов данных и метрик.

Kenntnisse

Strong SQL skills

Analytical thinking

Communication with stakeholders

Mentoring/leadership

Team collaboration

Tools

ETL/ELT tools

Orchestration frameworks

Programming languages for data

Data warehouses/big data tech

Jobbeschreibung

Описание:

Agoda is a travel technology company that connects people with destinations and experiences through hotels, holiday properties, flights, and activities worldwide. Its Data department develops data infrastructure, BI tools, databases, and data science technologies that support business decision-making and customer experience.

Задачи:

• Design, build, and maintain scalable ETL/ELT pipelines for CEG systems, third-party tools, and logs


• Develop and optimize data models for reporting, monitoring, forecasting, QA, and experimentation


• Implement validation checks, anomaly detection, and monitoring for critical datasets and metrics


• Define and enforce data definitions, SLAs, and ownership for critical tables and metrics


• Improve the performance and cost efficiency of data jobs and queries for high-volume CEG data


• Standardize tooling and best practices with data platform and engineering teams


• Design and build data tools and internal products, including self-service analytics, dashboards, alerting systems, investigator tools, QA tools, and agent performance views


• Implement APIs, data services, and lightweight UIs using Python, Java, Golang, or JavaScript/TypeScript


• Translate operational pain points into concrete data tools from problem framing through delivery and iteration


• Apply testing, code reviews, CI/CD, and observability to data products


• Define and drive the roadmap for key CEG data tools and platforms at Staff level


• Translate business questions into data problems and design analytic approaches


• Build and maintain dashboards and reports for contact volumes, handling time, quality, customer outcomes, agent performance, and alerts


• Perform deep-dive analysis of contact patterns, customer issues, agent performance, and operational efficiency


• Identify root causes and propose practical, data-driven recommendations


• Define and maintain metrics and KPIs across CEG teams and tools


• Communicate findings, implications, and recommended next steps in clear business language


• Act as a data partner for CEG stakeholders


• Align with data engineers, analysts, and scientists on data standards, reusable components, and shared datasets


• Mentor junior and mid-level team members


• Improve team workflows through code reviews, testing, documentation, runbooks, knowledge sharing, and incident reviews


• Influence cross-team architecture and ways of working at Staff level

Требования:

• 8+ Years of experience as a Data Engineer, Analytics Engineer, or Data Analyst in a data-driven environment


• Staff level typically requires 10+ years or equivalent scope and impact


• Strong SQL skills, including complex joins, window functions, aggregation, and query optimization


• Experience with a major data warehouse or big data technology


• Experience with ETL/ELT tools or orchestration frameworks


• Proficiency in at least one programming language for data and services


• Experience building production-grade data pipelines or data services with attention to quality, monitoring, and maintainability


• Experience with BI or visualization tools


• Strong analytical thinking and ability to turn business questions into clear insights


• Ability to communicate complex topics in simple, concise language to non-technical stakeholders


• Nice to have: event-driven data, data modeling techniques, A/B testing, experimentation platforms, causal analysis, ML pipelines, collaboration with data science teams, online consumer products, travel, e-commerce, marketplaces, frontend or backend development, Staff or Tech-Lead experience, driving technical direction, mentoring multiple engineers or analysts

Условия:

Office role in Berlin, Germany; No conditions specified.