Назад
Company hidden
7 часов назад

Data Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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 (Python/SQL/Databricks): Building and maintaining cloud-based data pipelines, integration frameworks, APIs, and self-service data platforms with an accent on scalable data processing, cloud-native services, and reliable enterprise data solutions. Focus on developing ETL/ELT workflows, preparing curated datasets, modernizing legacy processes, and supporting batch and near-real-time data operations.

Location: London - More London, United Kingdom

Company

hirify.global is a global investment firm providing capital and strategic support across growth equity, infrastructure, credit, climate, and strategic solutions.

What you will do

  • Design, develop, and maintain cloud-based data ingestion and integration pipelines.
  • Build ETL/ELT workflows using Python, SQL, Spark, and Databricks.
  • Integrate data from SaaS platforms, APIs, databases, and cloud applications.
  • Develop centralized data services, APIs, logical data models, and service-layer abstractions.
  • Prepare curated datasets for data lakes, enterprise data hubs, warehouses, analytics, reporting, and data science.
  • Monitor pipelines, troubleshoot production issues, participate in code reviews, testing, and documentation.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
  • 2–4 years of experience in data engineering, analytics engineering, or a related technical role.
  • Proficiency in Python and SQL, with an understanding of ETL/ELT, data modeling, and pipeline monitoring.
  • Hands-on experience with Databricks, Snowflake, or similar modern data platforms.
  • Familiarity with Azure or other cloud data services, including data lakes, warehouses, and orchestration tools.
  • Strong problem-solving, communication, collaboration, and attention-to-detail skills.

Nice to have

  • Experience in financial services or enterprise data environments.
  • Exposure to Power BI or Tableau.

Culture & Benefits

  • Collaborative work with senior data engineers, product managers, infrastructure, security, and application development teams.
  • Opportunities to develop expertise in modern data engineering tools and practices.
  • Medical insurance and retirement savings contributions.
  • Mental and physical health resources and an equal pay program.
  • Eligible employees may receive annual discretionary bonuses and long-term incentive programs.

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 →