Data Engineer (Databricks)

TL;DR

Data Engineer (Databricks/Python): Designing and maintaining scalable data pipelines and ETL/ELT processes with an accent on cloud-based data platforms and data integrity. Focus on optimizing data ingestion workflows, implementing data modeling best practices, and ensuring system reliability under load.

Company

hirify.global is an independent technology consulting firm providing guidance and solutions to over 1000 clients globally across multiple business lines.

What you will do

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes to support business intelligence and analytics.
• Build and optimize data solutions using Databricks and modern cloud-based data platforms.
• Develop and manage data ingestion workflows from databases, APIs, and third-party systems.
• Collaborate with data analysts, scientists, and stakeholders to deliver reliable data solutions.
• Ensure data quality, integrity, and consistency throughout the entire data lifecycle.
• Implement best practices in data modeling, data warehousing, and data governance.

Requirements

• Bachelor's degree in Computer Science, IT, or a related field.
• 2.5+ years of experience in Data Engineering or a similar data-focused role.
• Hands-on experience building and maintaining ETL/ELT pipelines in production.
• Strong proficiency in SQL and experience with Databricks.
• Experience with cloud platforms, with Azure experience being highly preferred.
• Knowledge of programming languages such as Python, PySpark, or Scala.

Nice to have

• Experience with CI/CD practices and version control systems.
• Familiarity with Agile development methodologies.

Culture & Benefits

• Competitive salary and a 13th-month bonus.
• Premium healthcare insurance starting from the probation period.
• 14+ annual leave days and yearly performance appraisals.
• International team environment with flexible working hours.
• Tailor-made career paths, technical workshops, and training courses.
• Mobility opportunities to work on-site at offices in over 60 countries.

Hiring process

• Brief introductory virtual or phone call to discuss motivations.
• Technical interviews (average of 3) with line managers and team members.
• Technical assessment or case study depending on the role.