12 дней назад
Lead Data Engineer (Paid Media)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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