Hybrid Data Platform Engineer — PySpark & Delta Lake

Launchmetrics; Barcelona; Híbrido; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Launchmetrics is seeking a Data Platform Engineer to design and build batch and near-real-time data pipelines using PySpark and Databricks. You will own Bronze/Silver/Gold medallion layers and collaborate with product, QA, and data teams.

This hybrid role supports a Lakehouse powering Discover and internal tooling, emphasizing reliability and cost efficiency while enabling AI-based insights across a fast-paced SaaS environment.

Formación

• Engineer Degree or Master Degree in Computer Science with 3+ years in SaaS data engineering.
• Strong Python and PySpark experience with distributed data processing at scale.
• Experience with a Lakehouse architecture (Databricks, Delta Lake, or Spark on EMR/Glue).
• Knowledge of Bronze/Silver/Gold medallion data design and schema evolution.

Responsabilidades

• 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 pipelines.
• Own code quality: structured PySpark jobs, unit tests (pytest), and adherence to team conventions.
• Continuously improve pipeline reliability and cost efficiency (OPTIMIZE scheduling, retry/backoff logic, concurrency handling).
• Participate in cross-pod initiatives across the data platform.

Conocimientos

Python

PySpark

Typescript

Educación

Engineer Degree or Master Degree in Computer Science

Herramientas

AWS S3

MySQL

AWS

GitHub Actions

pytest

Jest

Descripción del empleo

Launchmetrics is seeking a Data Platform Engineer to design and build batch and near-real-time data pipelines using PySpark and Databricks. You will own Bronze/Silver/Gold medallion layers and collaborate with product, QA, and data teams.

This hybrid role supports a Lakehouse powering Discover and internal tooling, emphasizing reliability and cost efficiency while enabling AI-based insights across a fast-paced SaaS environment.