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18 часов назад

Data Engineering Manager (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Engineering Manager (Fintech): Leading the Wealth Data Engineering team, responsible for the architectural vision and operational excellence of the data platforms with an accent on data quality, low-latency access, and the integration of MLOps principles. Focus on designing scalable cloud architectures, ensuring data ecosystem is fully optimized for Advanced Analytics and Artificial Intelligence, and translating business needs into scalable technical solutions.

Location: Birmingham, West Midlands, England, United Kingdom

Company

hirify.global is a leading global investment banking, securities and investment management firm, founded in 1869.

What you will do

  • Lead and mentor a local team of data engineers in Birmingham, fostering a culture of technical excellence and agile delivery.
  • Design, build, and maintain robust data platforms and pipelines that handle large-scale, multi-structured wealth data.
  • Implement strategies to make data "AI-ready," focusing on data quality and the integration of MLOps principles.
  • Set and enforce high standards for code quality, documentation, and testing, driving the adoption of modern engineering practices.
  • Collaborate with Data Scientists, Product Managers, and Application teams to translate business needs into scalable technical solutions.
  • Act as the technical face of the team in the Birmingham office, contributing to the local tech community and internal engineering forums.

Requirements

  • 10+ years in Data Engineering, with at least 2+ years in a formal leadership or management role.
  • Proven experience with modern data platforms such as Snowflake and cloud-native services.
  • Good understanding of open-source table formats, specifically Apache Iceberg.
  • Expert-level proficiency in Java, Python, and SQL.
  • Hands-on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.

Culture & Benefits

  • Committed to fostering and advancing diversity and inclusion.
  • Training and development opportunities and firmwide networks.
  • Benefits, wellness and personal finance offerings and mindfulness programs.

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