Senior Data Engineer (AWS)

TL;DR

Senior Data Engineer (AWS): Designing, developing, and maintaining cloud-native data engineering solutions for enterprise compliance and risk management with an accent on ETL/ELT pipeline development and cloud infrastructure. Focus on building scalable data pipelines using Python, PySpark, and AWS services while ensuring system reliability and data governance.

Location: Must be based in Poland

Company

hirify.global is a recruitment partner connecting professionals with global consulting and technology opportunities.

What you will do

• Design, build, and maintain scalable cloud-based data pipelines.
• Develop and support ETL/ELT processes for data integration and transformation.
• Ensure compliance with information security and data governance standards.
• Maintain and enhance cloud data environments, including data lakes and warehouses.
• Collaborate with engineering, product teams, and stakeholders to drive technical solutions.
• Contribute to technical research and the adoption of new technologies.

Requirements

• Must be based in Poland
• 5+ years of experience building and supporting ETL solutions using cloud-native services.
• Hands-on experience with Python and PySpark.
• Advanced PL/SQL skills and complex query optimization.
• Experience with CloudFormation, Terraform, and CI/CD pipelines.
• Understanding of AWS services including S3, SNS, Secret Manager, Athena, and Lambda.
• English proficiency: Upper-Intermediate (B2)

Nice to have

• Experience with BI systems like Power BI or Tableau.
• Experience working with Snowflake.
• Experience in Agile environments.

Culture & Benefits

• Full-time employment contract (UoP) combined with a service contract.
• Work on long-term projects (12+ months) for global enterprise clients.
• Equipment provided by the client.
• Opportunity to work in a proactive, innovation-focused environment.

Hiring process

• English language check (15 minutes).
• Internal technical interview (1–1.5 hours).
• Client interview (1 hour).