Data Engineer (Madrid)

Data Engineer (Madrid)

07 ago
|
Launchmetrics
|
Madrid

07 ago

Launchmetrics

Madrid

About Launchmetrics
Launchmetrics is the leading Brand Performance Cloud used by Fashion, Lifestyle and Beauty (FLB) executives to make smarter decisions around their branding efforts. With over a decade of industry expertise, we have helped more than 1,200 customers create inspiring, impactful and measurable experiences. Founded in NYC and headquartered in Paris, we have employees in ten markets worldwide and offer support in five languages.

The Team & the Pods organization
We are a team of passionate engineers distributed across the world, building state‑of‑the‑art modern applications and scaling them on the cloud. We innovate to solve customers’ problems, focusing on high‑performance implementations without neglecting the user experience. We recently moved our Product and Tech teams to a pod model, where a pod is a small group (1–4 people) that owns a single mission end‑to‑end: from scoping and building through cleaning, enablement and watching adoption.

The role
The Data Platform and Data Enrichment teams are in charge of making our unified database accessible, usable,



enrichable and reliable for all our teams internally. The team owns the Lakehouse that powers Launchmetrics’ data products—a Databricks‑based platform built on Delta Lake, S3, and following a Bronze/Silver/Gold medallion architecture. This layer stores, enriches, and serves the media intelligence data behind Discover, Genie and Delta Sharing. You’ll work on a batch‑first system that simulates real‑time behavior using Change Data Feed, S3 event triggers, serverless compute and liquid clustering.

What you’ll do

Design and build data pipelines (batch and near‑real‑time) using PySpark and Databricks across the Bronze/Silver/Gold medallion layers

Architect efficient Delta Lake table schemas—partitioning/liquid clustering strategy, schema evolution handling, and enrichment workflows

Work closely with product, QA and other data engineers to translate enrichment and search requirements into reliable

📌 Data Engineer (Madrid)
🏢 Launchmetrics
📍 Madrid

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