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WildBrain

Data Engineer

Posted 5 Days Ago
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Hybrid
London, England, GBR
Senior level
Hybrid
London, England, GBR
Senior level
Build and own production data pipelines for YouTube, AVOD/FAST, Google Ad Manager, and Google Ads sources on GCP and BigQuery. Develop conformed dimensional data models, campaign-to-brand attribution, data-quality checks, reconciliation logic, monitoring, and incident response. Optimize BigQuery performance and cost while applying engineering standards, testing, CI/CD, documentation, and lineage. Partner with finance, network, and commercial stakeholders to create reliable reporting models.
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Company Description

Location: 183 Eversholt Street, London NW1 1BU

Hybrid work: Employees work in a hybrid model balancing collaboration in our office and remote work. 

Find a job that lets your imagination run wild! 
WildBrain is made up of a team of innovators and creators who bring industry-leading kids’ content and brands to families globally. We inspire imagination, put creativity first and believe in the power of storytelling. We are constantly connecting the powers of our global team, making WildBrain a collaborative, openminded and passionate environment to work in.  To work at WildBrain means you get to create stories that lets imaginations run wild. Join our team today and make us part of your story!  

About the Role 

WildBrain is building an enterprise data warehouse to put financial and commercial reporting on a single, trustworthy foundation and to move the business into the AI age. We are looking for a Network Data Engineer to own the data pipelines for our Network business — YouTube CMS, AVOD/FAST, and Media Solutions (Google Ad Manager, Google Ads etc). 

This is a build role. You'll work across Google Cloud Platform, with BigQuery as the warehouse at the heart of everything we build. You would be responsible to turn a set of noisy platform feeds into conformed, dimensional models that Business users across the company can rely on. You will work closely with the Data Lead, who owns the warehouse platform, and with finance, network, and commercial stakeholders who consume what you build.

Job Description

What you'll do 

  • Build and own the ingestion pipelines for Network sources — YouTube CMS/Analytics, AVOD/FAST platforms, Google Ad Manager and Google Ads (landing directly in BigQuery), and— including the API integrations, scheduling, and monitoring behind them. 
  • Contribute to the shared conformed dimensions (Period, Title, Platform/Counterparty, Contract, and others) rather than building source-specific silos. the point is one conformed number the business can trust across processes. 
  • Help crack campaign-to-brand attribution for Media Solutions — connecting HubSpot campaigns and GAM targeting back to the asset/brand they drove. This is the most important open architectural problem on the Network side and a core part of the role. 
  • Build data-quality checks, reconciliation logic, and tests into the pipeline so issues are caught in the warehouse. 

Qualifications

What we're looking for 

  • 5+ years of data engineering experience, with a strong track record of building and operating production data pipelines. 
  • 2+ years hands-on with BigQuery and GCP, with strong, demonstrable SQL — window functions, complex joins, and cost-aware query patterns. 
  • Write and optimize BigQuery SQL transformations, models, and analytical queries  with attention to correctness, performance, and cost. 
  • Develop pipeline code in Python — ingestion, orchestration, testing, and packaging. 
  • Implement data models across the raw, staging, curated, and semantic layers 
  • Implement data quality, reconciliation, and validation checks so that incomplete or incorrect data cannot silently reach reporting. 
  • Own the reliability of your pipelines — monitoring, alerting, freshness, and incident response for the data flows you build. 
  • Optimize BigQuery cost and performance through partitioning, clustering, and efficient query patterns. 
  • Follow and contribute to engineering standards version control, CI/CD, testing, documentation, and lineage and uphold them in code review. 
  • Contribute to design discussions and propose approaches, while working within the architecture and standards set by the Data Lead. 
  • Partner with finance and business stakeholders to understand reporting needs and translate them into durable, tested data models rather than one-off extracts. 

Nice to have 

  • Media, entertainment, or streaming domain background — YouTube monetisation, AVOD/FAST economics, or ad-supported revenue models. 
  • Familiarity with HubSpot data, marketing attribution, or campaign analytics. 
  • Exposure to GCP beyond BigQuery (IAM, service accounts, Cloud Storage), and to identity/auth patterns like Workload Identity Federation. 
  • Roblox or games-platform data experience. 

Additional Information

What We Offer 

Working at WildBrain is more than a job — it’s the opportunity to join forces with extraordinary, insightful and imaginative people who will recognize your talents and encourage your professional growth and development in a work environment that promotes creativity and individuality.

Our Commitment  

Diversity and Inclusion are in our DNA. As a global leader in kids and family entertainment, we strive to reflect and honour the diversity of our audiences around the world. We believe that creating diverse and inclusive content & brands begins with fostering a culture of belonging at WildBrain. To us, a culture of belonging is one where we celebrate and welcome the diversity of all employees, stakeholders, and external partners and strive to create an environment where every individual feels valued, respected, and brings their authentic self to work.

We demonstrate our commitment to this by striving to provide a supportive work environment and a corporate culture that welcomes and encourages equal opportunities for all employees. We recognize that people bring experience and talent that goes beyond the technical skills and requirements of a job. If you possess similar experience that is close to what we’ve listed here, we encourage you to please still consider applying. We strongly believe that diverse experience, transferable skills, and passion are key! WildBrain accommodates people with disabilities throughout the recruitment and selection process. Applicants are encouraged to make their needs known in advance if accommodation is required. 

About WildBrain

At WildBrain, we build and grow beloved family brands through exceptional entertainment experiences. Home to franchises such as Strawberry Shortcake, Teletubbies, Yo Gabba Gabba!, Inspector Gadget and Degrassi, we are a global leader in franchise management—bringing stories to life through content production, audience reach and consumer products. Our award-winning studio has partnered with top global platforms such as Apple TV, Netflix and the BBC, producing acclaimed series such as The Snoopy Show, Strawberry Shortcake: Berry in the Big City, Teletubbies (2015), Yo Gabba GabbaLand! and Finding Her Edge. The WildBrain Network, offering more than 1,000 channels across YouTube, FAST and AVOD, delivers premium-quality content to today’s kids and families wherever they’re watching—connecting advertisers to audiences at scale through brand-safe media solutions. WildBrain CPLG, our global licensing and consumer products arm, represents our own and partner brands across major territories worldwide. Headquartered in Toronto, WildBrain trades on the Toronto Stock Exchange (TSX: WILD). Visit us at wildbrain.com. 

Attention: We have been made aware of individuals and recruitment agencies falsely claiming to represent WildBrain and offering employment opportunities on our behalf.

All legitimate opportunities are managed through our internal Talent Acquisition team and verified partners, and are posted on our official careers page and LinkedIn. If you are unsure about the legitimacy of any outreach, please verify by contacting us directly.

WildBrain London, England Office

183 Eversholt Street, London, United Kingdom, NW1 1BU

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