обновлено 8 дней назад
Data Engineering Manager (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Manager (Fintech): Leading the delivery and operation of scalable data platforms, pipelines, transformations, and infrastructure in a regulated financial services environment with an accent on reliability, governance, security, and cost performance. Focus on building high-performing engineering teams, enforcing testing and CI/CD standards, resolving production incidents, and maintaining auditable data systems at scale.
Location: Hybrid role based at the Bristol head office (BS1 5HL), with a mix of office and home working
Company
is a UK investment platform helping private investors save and invest for the future.
What you will do
- Lead, hire, coach, and develop a team of data engineers while setting clear expectations for quality and ownership.
- Own end-to-end delivery of data pipelines, transformations, platform components, and production operations.
- Ensure pipelines are idempotent, tested, observable, documented, auditable, recoverable, and secure by default.
- Run monitoring, incident response, root-cause analysis, and continuous operational improvement.
- Define engineering standards covering coding conventions, testing, CI/CD, code review, documentation, and technical debt management.
- Optimise infrastructure cost and performance while partnering with Data Product Managers and the Principal Data Modeller on priorities and standards.
Requirements
- 8+ years of experience in data engineering or software engineering, including 2–3 years in people management.
- Experience delivering and operating production data platforms and pipelines at scale.
- Hands-on experience with modern cloud data platforms such as Snowflake, BigQuery, or Redshift.
- Experience with orchestration tools such as Airflow or Dagster, CI/CD, and automated deployment.
- Strong operational mindset covering reliability, monitoring, incident response, cost management, and stakeholder trade-offs.
- Experience building high-performing engineering teams and working in regulated financial services, insurance, or banking environments.
Nice to have
- Experience with dbt, streaming or event-driven architectures, semantic or metrics layers, and feature engineering patterns.
- Experience optimising platform costs and using data governance tools such as catalogues, lineage tools, or quality frameworks.
- Experience supporting AI/ML feature pipelines or model-serving infrastructure.
Culture & Benefits
- 37.5-hour Monday-to-Friday schedule with flexible hybrid working.
- Annual bonus, annual pay review, 25 days of holiday plus bank holidays, and an additional Christmas closure day.
- Enhanced parental leave, pension contributions of up to 11%, income protection, life insurance, and private medical insurance.
- Health screening, wellbeing support, remote GP access, fitness benefits, and subsidised food and coffee.
- Two paid volunteering days per year and multiple travel-to-work schemes.
Hiring process
- Three stages: initial screening call, technical competency-based questions, and a scenario task.
- Employment sponsorship is not available.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
9 дней назад
Senior Data Engineer (Snowflake)
11 дней назад
Lead Data Engineer (Databricks)
95 000 - 105 000GBP
8 дней назад
Lead Data Engineer (AI)
4 000 - 5 300€
11 дней назад
Head Of Data Platform (AI)
10 дней назад
Senior Data Engineer / Analyst (AI)
60 000 - 65 000GBP
9 дней назад
Data Engineer (EU) (FinTech)
2 800 - 4 550€