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12 дней назад

Lead Data Engineer (Paid Media)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Data Engineer (Paid Media) (Python/SQL, dbt/Dagster): Building and owning paid media data pipelines, user-level models, domain marts, and reverse ETL integrations that connect advertising spend, revenue, and CRM data with an accent on reliability, freshness, semantic clarity, and cost-efficient data operations. Focus on leading engineers, handling changing source APIs and attribution complexity, improving shared platform standards, and delivering production data for budgeting, bidding, machine learning, and analytics.

Location: Hybrid in London, United Kingdom

Company

hirify.global is a global sports media group building data-driven products and experiences for sports fans through a portfolio of sports media brands.

What you will do

  • Own the end-to-end paid media user-level model, combining advertising spend and delivery, affiliate and operator revenue, and CRM data.
  • Build and maintain ingestion for paid media sources using the central platform framework, including schema changes and unreliable source APIs.
  • Own domain models from staging through analyst and business-facing marts, including semantic definitions such as qualified signups.
  • Build reverse ETL flows that send online and offline conversion data back to advertising platforms to influence bidding.
  • Take ownership of paid media jobs currently operated by the central team and transfer them to the domain.
  • Represent Paid Media Insights in platform discussions, including data support for machine learning and data science.

Requirements

  • Hands-on technical leadership experience guiding and mentoring data engineers.
  • Production experience building pipelines with Python and SQL.
  • Strong knowledge of data modelling, orchestration, cloud data warehousing, performance, cost, and reliability at scale.
  • Experience with tools such as dbt and Dagster, or transferable experience with Snowflake, BigQuery, or Redshift.
  • Ability to manage complex attribution, late conversions, cross-platform identity, and changing source APIs.
  • Experience experimenting with agents, tooling, or AI-enabled engineering workflows.

Nice to have

  • Experience with paid media or attribution data.
  • Experience with machine learning pipelines.
  • Experience with MotherDuck, DuckDB, DLT, AWS, reverse ETL, or semantic layer tooling.

Culture & Benefits

  • Collaborative environment with a flat organisational structure and freedom with responsibility.
  • Flexible working hours supporting work-life balance.
  • Private health insurance.
  • Office perks including lunch, snacks, gym access, and social events.
  • Opportunities for growth and broad ownership in an international company.

Hiring process

  • Applications are processed on an ongoing basis.
  • Applicants can contact the Senior Head of Paid Media Insights with questions about the position.

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