Senior Databricks Data Engineer - Remote/Hybrid

Ultra Tendency; España; Remote; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Remote or hybrid options

Job summary

Ultra Tendency is seeking a Senior Data Engineer to design, implement and optimize data pipelines on the Databricks Lakehouse Platform in Spain. You’ll work with Spark, Delta Lake and MLflow to deliver production-grade solutions across analytics and ML use cases.

You’ll collaborate with data scientists, architects and business stakeholders, mentor juniors, and help shape best practices for data quality, governance and security in a fast-growing, learning-driven environment.

Qualifications

• Deep hands-on experience with Databricks on Azure, AWS or GCP.
• Experience with Spark (PySpark/Scala), Delta Lake and MLflow.
• Strong programming skills in Python or Scala and CI/CD pipelines.

Responsibilities

• Design, implement, and maintain scalable data pipelines using Databricks Lakehouse Platform with Spark, Delta Lake and Unity Catalog.
• Lead development of batch and streaming data workflows powering analytics, ML and BI use cases.
• Collaborate with data scientists, architects and stakeholders to translate complex data requirements into robust solutions.
• Optimize performance and cost-efficiency of Databricks clusters and jobs using Photon, Auto Loader and Job Workflows.
• Establish and enforce best practices for data quality, governance and security in Databricks environments.
• Mentor junior engineers and contribute to the team’s Databricks expertise.

Skills

Databricks

Apache Spark

Python

Scala

Delta Lake

MLflow

GitHub Actions

Azure DevOps

Airflow

Terraform

Data modeling

Distributed computing

Performance tuning

Databricks Workflows

Spanish & English communication

Tools

Databricks on Azure/AWS/GCP

Job description

Ultra Tendency is seeking a Senior Data Engineer to design, implement and optimize data pipelines on the Databricks Lakehouse Platform in Spain. You’ll work with Spark, Delta Lake and MLflow to deliver production-grade solutions across analytics and ML use cases.

You’ll collaborate with data scientists, architects and business stakeholders, mentor juniors, and help shape best practices for data quality, governance and security in a fast-growing, learning-driven environment.