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17 часов назад

Data Engineer (Adtech)

Тип работы
fulltime
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 (AWS/Databricks): Designing and maintaining data pipelines and platform capabilities for the Digital Ad Exchange (DAX) with an accent on scalability and reliability. Focus on building high-quality ETL/ELT solutions, optimizing data ingestion, and improving observability within a modern cloud data platform.

Location: Holborn, London

Company

hirify.global is a leading media and entertainment company operating diverse platforms and the Digital Ad Exchange (DAX).

What you will do

  • Design, develop, and maintain scalable data pipelines, services, and platform capabilities for DAX.
  • Translate business and technical requirements into clean, maintainable Python and SQL code for data ingestion and processing.
  • Collaborate with Analytics Engineers, Data Scientists, and Product teams to deliver meaningful data products.
  • Monitor production pipelines and lead investigations into failures, data quality issues, and performance bottlenecks.
  • Improve platform observability, alerting, and reliability to ensure stable business insights and operational processes.

Requirements

  • Strong SQL skills and solid experience with relational data and ETL/ELT processes in production.
  • Practical experience programming in Python with a focus on readable and testable code.
  • Experience with cloud platforms, specifically AWS and Databricks.
  • Familiarity with distributed processing using Apache Spark.
  • Understanding of version control, CI/CD, and engineering testing practices.

Nice to have

  • Experience with Infrastructure as Code tools such as Terraform and Databricks Asset Bundles.
  • Interest in advertising technology, analytics, or large-scale data systems.

Culture & Benefits

  • Inclusive workplace culture that celebrates diversity and different working styles.
  • Collaborative environment working with a talented team of engineers, analysts, and data scientists.
  • End-to-end ownership of data engineering workstreams from design to deployment.
  • Opportunity to drive the evolution of a growing data platform within a major media company.

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