Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Хорошая вакансия
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Понятная зона ответственности, современный облачный стек и хорошие льготы делают вакансию привлекательной, однако зарплата не указана, а работать можно только из Великобритании.
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Зарплата не указанаСовременный стекПонятные задачиХорошие льготыФинансовые технологии
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Fintech): Building and maintaining data ingestion and transformation pipelines, dbt models in BigQuery, and reliable data services for internal applications with an accent on data quality, secure customer data handling, and cloud infrastructure. Focus on designing production data models, investigating pipeline failures, implementing automated testing, and developing AI/LLM evaluation infrastructure.
Location: Fully remote, United Kingdom
Company
Develops accessible applications and digital services that simplify complex household-service marketplaces, including mortgages, within a regulated financial environment.
What you will do
Build and maintain data ingestion and transformation pipelines.
Develop dbt models in BigQuery from raw data through downstream product and analytical models.
Gather stakeholder requirements, define business terms, and ensure data availability for internal applications and services.
Implement automated tests and data-quality checks, monitor pipelines, investigate failures, and improve reliability.
Contribute to cloud infrastructure, access management, CI/CD, and secure handling of customer data in an FCA-regulated environment.
Deliver independently, partner with the Lead Data Engineer on complex work, review code, and share engineering practices.
Requirements
Strong proficiency in SQL, Python, BigQuery, and dbt.
Hands-on experience with GCP, modern data architecture patterns, production data pipelines, and well-structured data models.
Experience with AI coding tools such as Claude Code and analytics agents.
Experience with containerised workloads using Docker and job orchestration.
Strong engineering principles and ability to write maintainable, tested code.
Strong background in Agile methodologies and Git for version control.
Excellent written and verbal communication with technical and non-technical stakeholders.
Nice to have
Fintech or regulated financial services background.
Experience with AI/LLM infrastructure, including AI model evaluations.
Familiarity with event-driven architectures, streaming, or near-real-time ML pipelines.
Experience with infrastructure as code using Terraform and managed ELT platforms.
Culture & Benefits
Remote-first working, with the option to work anywhere in the world for up to 22 days per year.
25 days of holiday plus bank holidays, increasing to 28 days with length of service.
Half-day holiday for a birthday and one day off for moving house.
Pension, subsidised private medical insurance, wellness support, critical illness cover, and death-in-service cover.
Enhanced maternity, paternity, and adoption pay, compassionate leave, long-service awards, and professional development opportunities.
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