Senior BigQuery Data Platform Engineer

Checkout.com; Greater London; Híbrido; GBP 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid working model

Career growth in fintech

Descripción de la vacante

Checkout.com is hiring an ambitious Data Engineer to join our Data Platform Team in London. You will help build a world-class data platform powering our products and analytics, covering real-time streaming to analytical workloads using AWS/GCP tech.

You will mentor junior engineers, contribute to code reviews, and drive best practices across teams in a fast-paced, collaborative fintech environment with a hybrid working model.

Formación

• Strong engineering background with a track record of implementing and owning components of a data platform.
• Strong experience with Cloud data warehousing technologies, especially BigQuery optimisation and FinOps.
• Experience with modern cloud-based stacks such as AWS, Azure or GCP.
• Excellent SQL skills.
• Strong programming skills with Python, Java, Scala or C#.
• Mentor and collaborate to raise the bar for colleagues.

Responsabilidades

• Build enablement components across the platform and monitor capabilities.
• Develop and maintain documentation for data systems and processes.
• Participate in code and design reviews and provide feedback.
• Automate workflows for a self-sustaining platform.
• Mentor junior team members and guide partner teams across applications.
• Promote data quality and governance as a first-class citizen of the platform.

Conocimientos

SQL

Python

BigQuery

Data pipelines

Mentoring

Cloud platforms

Herramientas

Kafka

Flink

DataHub

BigQuery

Airflow

DBT

Montecarlo

Descripción del empleo

Checkout.com is hiring an ambitious Data Engineer to join our Data Platform Team in London. You will help build a world-class data platform powering our products and analytics, covering real-time streaming to analytical workloads using AWS/GCP tech.

You will mentor junior engineers, contribute to code reviews, and drive best practices across teams in a fast-paced, collaborative fintech environment with a hybrid working model.