Remote-friendly Data Platform Engineer - Lakehouse & PySpark

PARKLU by Launchmetrics; Madrid; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Launchmetrics is seeking a Data Platform Engineer to join the Data Enrichment teams. You’ll own the Lakehouse powering Discover, Genie, and Delta Sharing, building batch and near-real-time data pipelines with PySpark and Databricks.

You'll design Delta Lake schemas, manage partitioning and clustering, and collaborate with product, QA, and other data engineers to deliver reliable, scalable data solutions. Fluency in English and a proactive, collaborative mindset are essential in our

Qualifikationen

• Engineer Degree or Master Degree in Computer Science with at least 3+ years in full‑stack SaaS development.
• Strong Python and PySpark experience; comfortable with distributed data processing at scale.
• Experience with Lakehouse architecture (Databricks, Delta Lake) and medallion patterns is a plus.
• Ability to design scalable data models, manage schema evolution, and ensure pipeline reliability.

Aufgaben

• Design and build data pipelines (batch and near-real-time) using PySpark and Databricks across Bronze/Silver/Gold layers.
• Architect efficient Delta Lake table schemas — partitioning and clustering, schema evolution, enrichment workflows.
• Collaborate with product, QA, and 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 (scheduling, retries, concurrency).
• Participate in cross-pod initiatives across the data platform.

Kenntnisse

Python

PySpark

Distributed data processing

Databricks/Delta Lake

Lakehouse architecture

Schema evolution

English fluency

Ausbildung

Engineering degree in Computer Science

Master's degree in Computer Science

Tools

Databricks

Delta Lake

Spark

Jobbeschreibung

Launchmetrics is seeking a Data Platform Engineer to join the Data Enrichment teams. You’ll own the Lakehouse powering Discover, Genie, and Delta Sharing, building batch and near-real-time data pipelines with PySpark and Databricks.

You'll design Delta Lake schemas, manage partitioning and clustering, and collaborate with product, QA, and other data engineers to deliver reliable, scalable data solutions. Fluency in English and a proactive, collaborative mindset are essential in our