Senior BigQuery Data Engineer

Checkout.com·Londonsenior

En corto

→Ingeniero de datos senior en plataforma de datos centrada en BigQuery y GCP.
→Diseñas, implementas y mantienes infraestructura para procesamiento en tiempo real y analítico a escala de petabytes.
→Destacan los esfuerzos en automatización, gobernanza de datos y mentoría técnica.

Buen nivel de inglés (clave para colaborar globalmente).

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓Experiencia sólida con BigQuery, incluyendo optimización y FinOps.
✓Conocimiento profundo de arquitecturas de datos en la nube (GCP/AWS).
✓Habilidades avanzadas en SQL y al menos una de: Python, Java, Scala, C#.
✓Capacidad para diseñar y mantener sistemas de streaming con Kafka y Flink.
✓Experiencia en automatización de flujos con Airflow (GCP Composer) y transformación con DBT.
✓Habilidades de mentoría y colaboración en entornos técnicos complejos.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

BigQueryGCPAWSKafkaFlinkDatahubAirflowGCP ComposerDBTMontecarlo

¿A quién escribirle en Checkout.com?

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com . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. com is looking for an ambitious Data Engineer to join our Data Platform Team. Our team’s mission is to build a world-class data platform that powers our products and analytics. The Data Platform team is here to ensure internal stakeholders can easily collect, store, process and utilise data to build reports or products aiming to solve business problems. Our focus is on maximising the amount of time business stakeholders spend on solving business problems and minimising time spent on technical details around implementation, deployment, and monitoring of their solutions. The core tech stack we use is based on AWS and GCP, using: Kafka as our message transport Flink for (near) real time processing Datahub as our catalog BigQuery as our warehouse Airflow (GCP Composer) for scheduling DBT for data transformation Montecarlo for monitoring The platform here encompasses the end-to-end, first for real time / streaming use cases but also for our analytical / warehouse needs. We're building for scale. As such, much of what we design and implement today will be the technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data. Responsibilities: You’ll work as part of the team to build enablement components across the platform, as well as monitor and support the capabilities we offer. Develop and maintain documentation for data systems and processes. Participate in code and design reviews and provide constructive feedback. Wherever possible, automate workflows and processes, we’re aiming for the platform to be as self-sustaining as possible. Stay up-to-date with the latest data and streaming engineering technologies and trends. Use that knowledge and subject matter expertise to mentor the more junior members of the team, and work with other “application” teams to provide guidance and best practice. Qualifications: Strong engineering background with a track record of implementing and owning components of a data platform Strong experience working with Cloud data warehousing technologies, in particular with BigQuery optimisation and FinOps Experience working with modern cloud-based stacks such as AWS, Azure or GCP Excellent SQL skills Strong programming skills with at least one of Python, Java, Scala or C# You’re a mentor, raising the bar for your colleagues. You’re a collaborator, always ready to dive in and partner to solve tough problems.

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