Senior Analytics Engineer — Revenue-Focused Data Platform

Scrambly; España; Presencial; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Impact on revenue

Growth opportunities

Close mentorship

Bootstrapped company

Descripción de la vacante

Scrambly is seeking a Senior Analytics Engineer to build and run the data platform behind the commercial side of Scrambly — pipelines and models that influence spend, rewards, and ecosystem protection.

You will maintain pipelines turning raw events and advertiser feeds into trusted tables, sizing opportunities and guiding business decisions with data. Early data-team hire, collaborate with Head of Data and other teams.

Formación

• 3+ years in analytics engineering, data engineering, BI development, or a closely related role, with pipelines running in production.
• Strong SQL and solid analytical data modelling: layered warehouse design, incremental models, and comfort with messy real-world business logic.
• Google Cloud experience is strongly preferred, as our whole platform runs on it: BigQuery, Dataform, Cloud Functions, Cloud Scheduler, Pub/Sub, IAM. We will consider people from AWS or Azure who have done the equivalent.
• Python for data work, and familiarity with Git and code review — plus an instinct to test data rather than assume it is correct.
• English at B2+, written and spoken — you will document systems others rely on and work daily with an international team.

Responsabilidades

• Build and model. Design and maintain analytical pipelines in Dataform on BigQuery, from source data through to the tables that teams and downstream models consume, including the datasets behind new products as we build them.
• Analyse and recommend. Answer commercial questions with data, and design and tune the rules and thresholds that sit behind day-to-day decisions. Turn findings into recommendations non-technical teams can act on.
• Take ownership. Take on established pipelines you did not write — work out how they behave, document them, and keep them running in production.
• Make the data trustworthy. Build the testing, assertion, and alerting layer on the models that drive commercial decisions, so we find out when something stops working before a stakeholder does. Investigate and fix issues when a number looks wrong.
• Raise the engineering bar. Manage warehouse cost and query performance, reduce duplication and manual work, and help establish good practice for data — code review, CI, documentation, release conventions.
• Collaborate. Work with the Head of Data on scoping and prioritisation, with Data Scientists on training data and getting models into production, with Backend on event contracts and automating the loop into product systems, and with commercial teams who use these numbers daily.

Conocimientos

SQL

Data modelling

Data pipelines

Python

BigQuery

Dataform

Cloud Functions

Pub/Sub

GCP

Herramientas

Dataform

BigQuery

Cloud Functions

Cloud Scheduler

Pub/Sub

IAM

Git

Python

Descripción del empleo

Scrambly is seeking a Senior Analytics Engineer to build and run the data platform behind the commercial side of Scrambly — pipelines and models that influence spend, rewards, and ecosystem protection.

You will maintain pipelines turning raw events and advertiser feeds into trusted tables, sizing opportunities and guiding business decisions with data. Early data-team hire, collaborate with Head of Data and other teams.