Назад
Company hidden
7 часов назад

Data Engineer (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Data Engineer (Fintech): Building and modernizing a scalable data platform for global investment intelligence with an accent on reusable pipeline frameworks, data modeling, and automation. Focus on integrating Databricks/Spark, Snowflake, and exploring agentic AI workflows to enhance platform operations and data quality.

Location: London, England

Company

hirify.global provides enterprise data management solutions to the global investment community, powering over US$75 trillion in assets under management.

What you will do

  • Modernize the existing data platform and pipelines using Snowflake and Databricks.
  • Build reusable tooling and frameworks to automate financial data ingestion and quality assurance.
  • Design and implement scalable data models to support diverse business use cases.
  • Collaborate with cross-functional teams to ensure solutions meet technical and business requirements.
  • Prototype agentic AI workflows to automate pipeline monitoring and adaptation.
  • Optimize operational efficiency to reduce manual intervention and support costs.

Requirements

  • 3–5 years of hands-on experience in data engineering.
  • Strong proficiency in Python and advanced SQL.
  • Mandatory experience with Databricks and Apache Spark for large-scale processing.
  • Experience with cloud data warehouses like Snowflake, BigQuery, or Redshift.
  • Practical knowledge of cloud infrastructure (AWS, Azure, or GCP) and CI/CD pipelines.
  • Experience using AI coding tools like GitHub Copilot or Claude in daily workflows.

Nice to have

  • Experience with agentic AI frameworks like LangChain or LlamaIndex.
  • Knowledge of streaming data processing (Kafka, Kinesis, or Flink).
  • Exposure to financial data types such as pricing, benchmarks, and corporate actions.
  • Familiarity with metadata catalogs and data contract patterns.

Culture & Benefits

  • Comprehensive health benefits including virtual GP service and cashback plans.
  • Group Income Protection and Death in Service funds.
  • Gym membership discounts and travel insurance.
  • Annual purchase holiday scheme.
  • Commitment to diversity, inclusion, and professional development.

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 →