Content Marketing Intern supporting the EMEA Marketing & Communications team for digital marketing initiatives. Writing and editing content while ensuring quality and consistency across channels.
About the role
- Senior Data Engineer at BHS building and operating data platform for audience insights and ad optimization. Collaborating on data modeling, pipeline development, and integration with analytics systems.
Responsibilities
- Build and operate the portal’s data platform, ensuring audience events, editorial data and revenue data are available to feed recommendations, newsroom insights and ad optimization with quality and at scale.
- Develop and maintain cloud pipelines (preferably GCP), focusing on BigQuery + Dataflow/Beam + Composer/Airflow.
- Design the business data model: audience, content, users/sessions, inventory and performance.
- Implement transformations with dbt (raw/trusted/curated layers), including tests and documentation.
- Create datasets and features for recommendation and insights (e.g., recency, affinity, user journey, context, engagement).
- Ensure governance, data quality, metric consistency (single definitions) and pipeline observability.
- Integrate sources (GA4/Chartbeat/Ad server/CDP if available, CMS, logs, relational databases) and standardize contracts.
- Optimize performance and cost (partitioning, clustering, incremental processing, slots/reservations, etc.).
- Work closely with Data Science to enable experiments and feature deployment.
Requirements
- Solid experience with Airflow/Composer and production pipelines.
- Advanced SQL and Python.
- BigQuery (modeling, performance, cost optimization) and GCS.
- dbt (modeling, tests, docs; CI/CD is desirable).
- Experience integrating systems and databases (e.g., Oracle, SQL Server, MySQL, etc.).
- DataOps best practices (monitoring, versioning, quality and SLAs).
- Experience with event tracking (clickstream), audience data and engagement metrics.
- Near real-time / streaming experience (Pub/Sub, Dataflow streaming) when required.
- Experience with feature stores and ML pipelines.
Benefits
- Private health plan and dental coverage
- Meal/Food allowance on Flash card
- Home office allowance
- Gympass / Wellhub
- Life insurance
- Extended maternity and paternity leave
- Partnerships and discounts with education, health and leisure providers (universities, language schools, gyms, health clinics...)
- Continuous feedback culture, including semi-annual feedback, 1:1 meetings, Individual Development Plan (PDI) and BHS Experience
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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