Senior Data Engineer

TL;DR

Senior Data Engineer: Designing, building, and maintaining scalable data pipelines and architectures with an accent on data quality, integrity, and performance. Focus on optimizing ETL/ELT workflows and collaborating with cross-functional data teams to support analytical decision-making.

Location: Fully Remote (Must be based in Europe, specifically eligible to work in Slovakia, Czech Republic, or Spain)

Company

hirify.global is a global provider of business and tech advisory, software development, and managed services with over 6,000 specialists.

What you will do

• Design, develop, and maintain robust and scalable data pipelines (ETL/ELT).
• Build and optimize data architectures and data models.
• Ensure high data quality, integrity, and reliability across systems.
• Collaborate with data analysts, data scientists, and other stakeholders.
• Implement and enforce data governance and security best practices.
• Troubleshoot and resolve data-related issues.

Requirements

• Significant experience in a senior data engineering role.
• Strong proficiency in Python, SQL, and data processing frameworks like Spark.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Expertise in data warehousing solutions like Redshift, BigQuery, or Snowflake.
• Solid understanding of data modeling and database design.
• Familiarity with orchestration tools like Airflow.

Culture & Benefits

• Global environment with a diverse community of professionals.
• Commitment to equal opportunities and individual development.
• Flexible work environment fostering inclusivity.
• Professional career development and leadership opportunities.

Hiring process

• Application review by the team.
• Talent acquisition interview to discuss goals and expectations.
• Technical interview focusing on expertise, problem-solving, and thinking.
• Customer interview (if applicable).