Impactful Analytics Engineer - Build Data Pipelines

Scrambly; Portugal; On-site; EUR 60,000 - 90,000; Full time

Job summary

Scrambly is seeking a Senior Analytics Engineer to build and run the data platform behind the commercial side of the business. You will maintain pipelines that turn raw events, attribution data, and advertiser feeds into trusted tables used to size opportunities and set thresholds.

This early hire will work with the Head of Data and join with Data Scientists, Backend, and Commercial teams to improve existing systems and build what is missing.

Qualifications

• 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.
• Analytical judgement — able to take an open commercial question, decide what to measure, and come back with an answer and a recommendation rather than a table.
• Google Cloud experience is strongly preferred, as our whole platform runs on it: BigQuery, Dataform, Cloud Functions, Cloud Scheduler, Pub/Sub, IAM.
• Python for data work, and familiarity with Git and code review — plus an instinct to test data rather than assume it is correct.
• Curiosity and comfort with unfamiliar systems: willing to dig into code or data you did not write, work out what it does, and write it down for others.
• A proactive, self-directed way of working, and the confidence to ask questions and say when something does not look right. You will be in a very small team.
• English at B2+, written and spoken — you will document systems others rely on and work daily with an international team.

Responsibilities

• 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.

Skills

SQL

Data modelling

Python

Git

English (B2+)

Data pipeline

Tools

Dataform

BigQuery

Cloud Functions

Cloud Scheduler

Pub/Sub

IAM

Job description

Scrambly is seeking a Senior Analytics Engineer to build and run the data platform behind the commercial side of the business. You will maintain pipelines that turn raw events, attribution data, and advertiser feeds into trusted tables used to size opportunities and set thresholds.

This early hire will work with the Head of Data and join with Data Scientists, Backend, and Commercial teams to improve existing systems and build what is missing.