Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (AI): Building and maintaining data infrastructure and pipelines for a major automotive manufacturer with an accent on AWS services, PySpark, and workflow automation. Focus on optimizing data pipelines, migrating AWS services, and implementing infrastructure as code (IaC) to ensure system stability.

Location: Must be located in Poland and willing to commute to the office in Katowice or Gdańsk

Salary: UOP: 12,000–16,000 PLN gross/month; B2B: 100–140 PLN net/h

Company

hirify.global is a leading European tech consulting and software development company with a significant Global Delivery Center in Poland.

What you will do

• Develop and maintain data engineering workflows and pipelines.
• Manage data infrastructure, including migration and updates of AWS services.
• Perform regression testing and automate repetitive data activities.
• Collaborate with a multinational team of developers and data engineers.
• Review colleagues' code within an Infrastructure as Code (IaC) environment.

Requirements

• 5+ years of experience in data engineering roles.
• Proficiency in Python and advanced SQL for complex queries.
• Hands-on experience with AWS services such as S3, Glue, and Athena.
• EU Citizenship is required.
• English: B2/C1 level required.
• Willingness to make occasional business trips abroad and visit offices in Katowice or Gdańsk.

Nice to have

• Knowledge of Bash.
• Ability to create basic technical diagrams.
• Relevant industry certifications or higher education.

Culture & Benefits

• Medical and sports packages (Luxmed, Medicover Sport).
• Access to educational and language learning platforms.
• Company-paid certifications and attendance at conferences.
• Workation opportunities and free parking.
• Inclusive environment with "Tech Lunches" and professional communities.

Hiring process

• Short introductory call with a recruiter (up to 30 min).
• One-hour interview with a hirify.global Manager via Teams.
• Final one-hour technical and general interview via Teams.