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11 часов назад

Data Engineer II (Data Platform) (Java/Python)

Формат работы
remote (только United_kingdom)/hybrid
Тип работы
fulltime
Грейд
middle
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 Engineer II (Data Platform) (Java/Python): Building and maintaining scalable data infrastructure and ETL pipelines to power travel analytics and GenAI initiatives with an accent on platform reliability and petabyte-scale processing. Focus on architecting streaming and batch systems using Flink, Spark, and Kafka to ensure high-performance data delivery across the organization.

Location: Oxford, United Kingdom. Remote-friendly with the option to work on-site in select locations.

Company

hirify.global connects people to experiences worth sharing, leveraging brands like Viator and TheFork to be the world's most trusted travel source.

What you will do

  • Design and maintain terabyte-scale ETL/ELT pipelines across Snowflake, BigQuery, and Hive.
  • Develop scalable data models for analytics, data science, and machine learning consumers.
  • Build streaming and batch processing systems using Flink, Spark, and Kafka.
  • Write production-quality Java and Python code for data ingestion and REST services.
  • Collaborate with global engineering teams to define specifications and ensure data integrity.

Requirements

  • 4-5+ years of commercial data engineering or software development experience.
  • Strong proficiency in Java and Python for production systems.
  • Experience with big data technologies (Hadoop, Hive, BigQuery, Snowflake) at scale.
  • Proficiency in SQL and designing complex ETL/ELT processes.
  • Familiarity with AWS cloud infrastructure and Linux environments.
  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

Nice to have

  • Experience with Flink, Spark Streaming, or Apache Airflow.
  • Knowledge of GraphQL, React, or NoSQL databases.
  • Interest in GenAI, machine learning, or data science engineering.

Culture & Benefits

  • Remote-friendly collaboration with flexible scheduling for work-life balance.
  • Competitive compensation including annual bonuses and health benefits.
  • Annual lifestyle benefit and tuition assistance for professional development.
  • Travel perks, discounts, and donation matching programs.
  • Inclusive culture focused on "Traveller first" and agile execution.

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