Location:

Madrid, Spain – Hybrid
Work Hours:

Swiss/Spanish business hours
Experience:

6–10+ years
Engagement:

Contract ( 6 months with extensions)
Start:

Immediate / ASAP
The Opportunity

We are looking for a highly hands‑on

Senior Databricks Data Engineer

to design, build, and optimize scalable end‑to‑end data pipelines.
This role is best suited to an engineer who is comfortable writing

PySpark/Python code independently , working with large datasets, integrating multiple data sources, and taking data from initial ingestion through

Bronze, Silver, and Gold layers using Medallion Architecture .
This is not a coordination‑only or architecture‑only position. We are specifically seeking someone who remains

hands‑on with Databricks, Spark, PySpark, Python and SQL .
Key Responsibilities

Design, develop, and maintain scalable

Databricks‑based data pipelines .
Build end‑to‑end data engineering solutions from

source ingestion through Gold‑layer datasets .
Develop high‑performance data processing workflows using

PySpark, Python, Spark and SQL .




Integrate data from multiple sources, including

APIs, databases, files, cloud storage and external platforms .
Design and optimize Databricks architectures for

data ingestion, transformation, processing and storage .
Work with

large‑scale datasets and distributed data processing

environments.
Perform

Spark/Databricks performance tuning

to improve processing speed, scalability and cost efficiency.
Build robust ETL/ELT workflows with appropriate

data quality, monitoring and governance controls .
Optimize Databricks workflows, jobs and compute resources.
Troubleshoot pipeline performance, reliability and data‑quality issues.
Collaborate with Data Architects, Data Engineers and business stakeholders to translate requirements into production‑ready data solutions.
Contribute to engineering standards and

Databricks best practices .
Mandatory Technical Skills

you demonstrate strong production‑level experience with:
Datab

📌 Databricks Data Engineer (Madrid)
🏢 Talent To Hire
📍 Madrid