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1 день назад

Senior Data Engineer

Формат работы
remote (только United_kingdom)/hybrid
Тип работы
fulltime
Грейд
senior
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

Senior Data Engineer (Data Platform): Building and optimizing high-scale data products and ETL pipelines for a global travel platform with an accent on data architecture, performance, and scalability. Focus on designing efficient data models, ensuring pipeline integrity, and collaborating with cross-functional teams to drive data-informed business decisions.

Location: Must be based in the United Kingdom (Remote/Hybrid options available).

Company

hirify.global is the world’s largest travel site, connecting millions of users to experiences through a vast portfolio of travel brands and data-driven insights.

What you will do

  • Curate and manipulate large-scale datasets from diverse sources to provide high-quality data to the organization.
  • Build and maintain scalable ETL processes and data pipelines using platforms like Snowflake and BigQuery.
  • Develop enterprise data marts and efficient data models to support analytics, data science, and machine learning teams.
  • Ensure data integrity, validation, and documentation for enterprise data assets.
  • Manage pipeline SLAs, dependencies, and resolve technical failures or anomalies.
  • Lead medium to large-scale projects, mentor junior engineers, and present technical designs.

Requirements

  • Must be based in the UK.
  • 6+ years of experience in data engineering or software development.
  • Strong proficiency in SQL and experience with large-scale data platforms (BigQuery, Snowflake, Hadoop, or Hive).
  • Solid experience in data modeling and designing complex ETL processes.
  • Proficiency in Python or an equivalent functional programming language.
  • Proven track record of technical leadership and driving projects to completion.

Nice to have

  • Experience with task orchestration tools like Airflow.
  • Knowledge of machine learning and data science workflows.
  • Experience with real-time data pipelines and distributed application design.
  • Familiarity with Linux CLI and data governance practices.

Culture & Benefits

  • Competitive compensation including base salary and annual bonus.
  • Flexible work-your-way approach with remote-friendly collaboration.
  • Comprehensive health benefits and employee assistance programs.
  • Annual lifestyle benefit for travel or wellness.
  • Tuition assistance for career development and travel perks.
  • Donation matching program to support charitable causes.

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