Senior Data Engineer
Type: Full-time
Location: Remote (CET time zone overlap required)
Reports to: Head of Engineering
About the role
As the first data hire, you will build the data foundation the business depends on: reliable pipelines, a trustworthy warehouse, and high-volume first-party event data transformed into clean, performant, query-ready datasets.
On top of that foundation, you will help turn data into insight and insight into product intelligence, working with a genuine data-science awareness even if your center of gravity is engineering.
This is a hands-on building role. You will implement the pipelines, the models, and the datasets yourself, not write specs for someone else to build.
We are looking for a strong data engineer with enough data-science judgment to reason about metrics, experiments, and where machine learning or LLMs genuinely add value.
Because this will be a solo data function initially, self-sufficiency across the data stack is essential.
If you want to define what data means at a company and build the systems, models, and insights that shape its growth,
this is the role.
What you will do
Data infrastructure (the core of the role)
● Design, build, and maintain the data infrastructure everything depends on, including ingestion pipelines, the data warehouse, and the transformation layer.
● Turn large volumes of raw, real-world event data into a trustworthy, query-ready foundation, owning performance, modeling, and data quality as volume grows.
● Integrate data from product databases, third-party services, and event streams at production scale into a single, trustworthy source of truth.
● Own data modeling and metric definitions so numbers mean the same thing across every team.
● Establish data quality checks, monitoring, and documentation that hold up as data volume and headcount grow.
Analytics and insights
● Turn raw data into insights that inform product, growth, and operating decisions.
● Build and maintain dashboards and self-serv
📌 Senior Data Engineer (España)
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