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3 дня назад

Software Engineer (Data Engineering)

52 500 - 57 500GBP
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Software Engineer (Data Engineering) (Media Distribution Analytics): Building data products, petabyte-scale data lake and ETL systems, and real-time stream processing pipelines for monitoring BBC media distribution with an accent on scalable data engineering and streaming analytics. Focus on designing data products, maintaining large-scale data platforms, and developing operational monitoring pipelines with Python, SQL or Java, cloud services, Spark, Kafka, or Flink.

Location: London Broadcasting House, with two days a week in the office (hybrid)

Salary: £52,500–£57,500 per year, depending on relevant skills, knowledge and experience.

Company

hirify.global delivers news, entertainment and live and on-demand media content to audiences through digital platforms including iPlayer and hirify.global Sounds.

What you will do

  • Design and build data products for understanding media distribution and audience streaming experience.
  • Maintain and extend a petabyte-scale data lake and ETL processes.
  • Develop real-time stream processing pipelines for operational monitoring.
  • Collaborate with stakeholders, engineers, device playback teams, the content distribution network team and third-party network suppliers.
  • Identify requirements and deliver data products that provide measurable value.

Requirements

  • Production experience with a programming language used in data engineering, such as Python, SQL or Java.
  • Strong understanding of relational databases, object storage, data warehouses, modern data lake technologies and data modelling tools.
  • Hands-on experience with batch or streaming data pipelines.
  • Production experience with cloud services such as AWS, GCP or Azure.
  • Experience working with third-party data providers, defining requirements and driving service improvements.
  • Eligibility to work checks are required before employment.

Nice to have

  • Infrastructure as Code experience for deploying data products at scale.
  • Experience with data visualization tools such as Looker, Grafana or Power BI.
  • Experience collaborating in cross-functional teams and using feedback to improve work.

Culture & Benefits

  • Flexible 35-hour working week.
  • 25 days of annual leave, with the option to buy up to five additional days.
  • Defined pension scheme and discounted dental, healthcare and gym benefits.
  • Professional development opportunities and flexible working support.
  • Inclusive, values-based working environment.

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