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Paramount Global

Joint venture producing film, television content

Data Engineering Lead

Data EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • Senior-level data engineering experience, including experience as the sole or lead technical owner of a data platform, with hands-on delivery alongside roadmap ownership, vendor management, and the ability to translate technical constraints for commercial, marketing, and editorial stakeholders.
  • Expert SQL and Python skills, with production experience designing, building, and operating ETL/ELT pipelines at scale.
  • Deep hands-on experience with a modern cloud data warehouse and its associated transformation and orchestration tooling.
  • Strong working knowledge of digital and product analytics platforms, including event tracking implementation across web, mobile, and connected TV.
  • Demonstrable experience joining behavioural, advertising, and CRM datasets, and resolving identity and metric definitions across sources that count users differently.
  • A track record of establishing data quality monitoring, governance, and trusted metric definitions in an environment where none previously existed.
  • Practical knowledge of A/B testing methodology and statistical analysis, with experience building experimentation capability for non-technical teams.

Responsibilities

  • Build and lead the in-house data engineering capability for 5 Streaming.
  • Own the design, build, and operation of data pipelines and data models that power streaming reporting, dashboards, and analysis.
  • Create a common identity and content spine across behavioural, advertising, marketing, and registration data to establish a single joined view of content and audience performance.
  • Own the definition and reconciliation of core streaming metrics and codify business logic across business systems.
  • Own analytics implementation and tagging governance across streaming platforms, including technical specification creation, naming standards, and defect prioritisation, working closely with product, technology, and quality assurance teams.
  • Establish data quality monitoring, alerting, and scorecards across streaming data sources, with defined thresholds, ownership, and escalation routes.
  • Establish an experimentation capability by providing templated test setup, instrumentation standards, and analysis patterns so product and marketing teams can run and interpret tests autonomously.
  • Build in-house data modelling capacity for churn prediction, reactivation, ad targeting, segmentation, and personalisation.
  • Own the technical data roadmap and identify artificial intelligence and automation opportunities to improve the accuracy, timeliness, and cost of the data stack.
  • Work alongside Skydance data teams as their technical data counterpart and provide technical direction to the analytics team.
  • Own data governance for streaming datasets and work with privacy and information security teams to build compliance into every data workflow.

Desired Qualifications

  • Background in streaming, broadcast, or media, with a working understanding of streaming and commercial performance metrics.
  • Experience with advertising, attribution, and quality-of-experience platforms.
  • Experience applying machine learning to churn, propensity, segmentation, or recommendation problems.
  • Experience applying artificial intelligence tooling to data engineering, reporting, or forecasting workflows.
  • Experience bringing previously outsourced capability in-house and working alongside central data functions within a large group organisation.

About the Company

Paramount Global

Joint venture producing film, television content

Preparing a concise company summary based on the provided description.

Company size
10,001+
Company stage
IPO
Headquarters
Los Angeles, CA
Founded
1912

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