3 дня назад
Software Engineer (Data Engineering)
52 500 - 57 500GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
delivers news, entertainment and live and on-demand media content to audiences through digital platforms including iPlayer and 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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