Lead Data Engineer

We’re looking for an Lead Data Engineer to join the Paid Media Insights team within Better Collective.

• We spend real money across dozens of ad networks every day. Which campaigns scale, which creatives get cut and which markets get budget comes out of this team’s models.

• Ad platform spend and delivery, affiliate and operator revenue and CRM, stitched into one user-level view of what a click was worth. That model exists and it works.

• The most demanding domain on our platform: the most sources, the fastest schema churn, the shortest patience for a late table. We want the engineer who owns it.

• A central team owns the platform - MotherDuck, dbt, Dagster, DLT, the infrastructure. Paid Media Insights is a spoke in that hub and spoke organisation, building on it.

• The split is deliberate: the platform team decides how data is produced, you decide what paid media produces and own everything we run. No new stack to build, and no year lost to plumbing a central team should solve once.

• Be a demanding customer: when a golden path does not fit paid media, push for it to change rather than quietly building around it.

• You report to the Senior Head of Paid Media Insights and work across Paid Media, with the Campaign, Commercial, CRM and platform teams.

MotherDuck / DuckDB   ·   dbt   ·   Dagster   ·   DLT   ·   Python   ·   SQL   ·   AWS   ·   reverse ETL and semantic layer tooling

We do not expect you to have worked with all of these. If you have built production pipelines on Snowflake, BigQuery or Redshift and you are curious about where we are going, that transfers.

• Freshness, cost, reliability, alerting, and the 07:30 incident before the spend review. A paid media model that is wrong or late is yours, not the platform team’s - that accountability is the core of the role.

• The end-to-end user-level model. Ad platform spend and delivery, affiliate and operator revenue and CRM, joined into one view the business trusts enough to move budget on.

• Ingestion of paid media sources on the platform’s framework: which sources, which schemas, and what happens when a network changes its API unannounced.

• The domain’s models, from staging to the marts analysts query, plus the semantic meaning on top. Nobody at the centre can define a qualified signup in paid media. You can.

• Reverse ETL into the ad platforms, so conversion data lands where it changes bidding.

• The handover, taking over the paid media jobs the central team still runs for us.

• Technical lead for the data engineers in Paid Media Insights: setting the standard for how this domain builds, reviewing, unblocking, and growing them by giving away the interesting problems.

• Shaping the domain’s roadmap with the Senior Head of Paid Media Insights, the analysts and the business teams.

• Representing paid media in platform conversations, including how we support machine learning and data science.

• Hands-on technical leadership, not a step away from building. You will be in the code.

We look forward to hearing from you and accept applications until 28th November.
Please submit your CV and cover letter in PDF; only applications submitted in English will be considered.

Expected start date: as soon as possible.