Назад
Company hidden
обновлено 1 месяц назад

Data Engineer (Data Engineering)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
UK/Europe
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 (Data Engineering): Build and maintain scalable batch and streaming data pipelines supporting analytics, machine learning, and business decision-making with an accent on data reliability, quality, and collaboration across teams. Focus on designing efficient data systems, troubleshooting pipeline issues, and implementing data quality checks in a hybrid work environment.

Location: Hybrid, Edinburgh, United Kingdom

Company

hirify.global is a premier mobile gaming company operating across the United States, Canada, and Scotland, part of Flutter Entertainment, a global leader in sports betting and gaming.

What you will do

  • Design, build, and maintain scalable batch and streaming data pipelines using Python, SQL, and Spark.
  • Collaborate with data analysts, data scientists, and product managers to deliver actionable data solutions.
  • Translate business requirements into engineering tasks and participate in agile team processes.
  • Monitor and troubleshoot data pipelines to ensure reliability and accuracy.
  • Implement data quality checks and contribute to observability and testing practices.
  • Document data sources, transformations, and architecture decisions for maintainability.

Requirements

  • Location: Hybrid role based in Edinburgh, United Kingdom
  • Experience in data engineering, analytics engineering, or software engineering focused on data.
  • Strong SQL skills and proficiency in at least one programming language such as Python, Java, or Scala.
  • Hands-on experience with modern data tools like Databricks, Airflow, DBT, Spark, or Kafka.
  • Understanding of data modeling, data warehousing, and ETL/ELT best practices.
  • Experience with cloud-based data platforms (AWS, GCP, or Azure).

Nice to have

  • Experience supporting BI, analytics, or data science teams.
  • Familiarity with version control, CI/CD, and collaborative development workflows.
  • Exposure to data governance, privacy, or compliance practices.
  • Eagerness to learn new technologies and contribute to team growth.

Culture & Benefits

  • Opportunities for professional development and career growth.
  • Generous insurance and paid leave policies.
  • Work in an exciting and fun environment focused on growth.
  • Access to resources for career and professional development.
  • Comprehensive total rewards program including wellness and savings benefits.

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 →