Data Engineer

TL;DR

Data Engineer: Designing and developing custom data solutions for international clients with an accent on building scalable pipelines and processing large datasets. Focus on utilizing Spark, Python/Scala, and cloud platforms like Azure or AWS to deliver high-impact, data-powered software.

Location: Must be based in Spain (Remote or Hybrid options available).

Company

A global technology consultancy with over 500 experts dedicated to crafting custom, innovative software solutions and providing specialized technical training.

What you will do

• Design and develop robust data solutions for complex client projects.
• Build and maintain scalable data pipelines using Spark and Python/Scala.
• Work on cloud-based infrastructure within Azure or AWS environments.
• Implement best practices for clean, reusable code and CI/CD processes.
• Collaborate within multidisciplinary, Agile teams to deliver full-cycle projects.
• Perform unit and integration testing to ensure high system reliability.

Requirements

• Minimum 4 years of professional experience in data engineering.
• Strong proficiency in Python or Scala and Spark for large-scale data processing.
• Solid experience with cloud platforms (Azure or AWS).
• Hands-on experience building data pipelines and CI/CD workflows.
• Experience with testing methodologies (unit, integration).
• Knowledge of SQL and NoSQL databases.

Nice to have

• Experience with Databricks, Snowflake, or Fabric.
• Knowledge of Infrastructure as Code (IaC).
• Fluent English proficiency.

Culture & Benefits

• Flexible 35-hour work week.
• Fully remote or hybrid work options.
• Comprehensive health insurance and flexible compensation for transport/meals.
• Individual budget for training, equipment, and free Microsoft certifications.
• Monthly allowance for home electricity and internet expenses.
• Annual team-building event (Plain Camp) and various employee discounts.

Hiring process

• Phone screen.
• Two technical interviews with the team.