Senior Data Software Engineer (Databricks)

Remote in Spain

Data Software Engineering

We are looking for a Senior Data Software Engineer with a strong background in Databricks to join our team.

The ideal candidate will be an open-minded professional, well-versed in data engineering, who can effortlessly integrate into our friendly work environment and contribute significantly to our projects.

Responsibilities

Design, develop, and maintain scalable data pipelines and architectures
Optimize data models and ETL processes using Databricks and other relevant technologies
Implement data quality checks and monitoring to ensure high data integrity
Stay abreast of emerging trends and technologies in data engineering, proposing new tools where beneficial
Troubleshoot and resolve data-related issues promptly
Participate in code reviews to maintain high standards of code quality
Collaborate with other team members and stakeholders to enhance data-driven decisions
Mentor junior data engineers and share knowledge within the team
Contribute to the continuous improvement of our data engineering practices and procedures

Requirements

Hands-on experience with Databricks: Delta Lake, workflows, Delta Live Tables, deployment, and versioning
Solid understanding of data architectures and strong data modeling skills
Proficiency in Spark (either Scala or PySpark)
Expertise in designing and building ETL pipelines with Databricks using external orchestrators like Airflow
Experience with cloud-native technologies, containers, and software engineering best practices including unit tests, linting, and code style checks
Engineering background with either AWS, Azure, or GCP
Familiarity with big data and performance optimization of data-intensive applications
Proactivity and experience in client-facing roles
Ability to work independently in ambiguous situations
Desire to function effectively in a transparent, fast-moving startup environment
Fluent English communication skills at a B2+ level

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