• Salary: 150-170 PLN net+VAT/h, B2B via Devire
  • Remote work model 
  • Benefits: Multisport card, private medical care, life insurance 
  • Long-term cooperation 
  • Flexible working hours, Polish time zone

  • Over 5 years of experience in data engineering or related roles.
  • Deep knowledge of modern data platform architecture, including storage, compute, and enterprise-scale integrations.
  • Skilled in designing data models and building scalable ETL/ELT pipelines for both analytical and operational needs.
  • Proficient in SQL and Python for data processing, automation, and pipeline development.
  • Practical experience with cloud platforms (preferably Azure) in large-scale data engineering solutions.
  • Good grasp of data governance, with experience in applying tools for quality, security, and compliance.
  • Strong analytical and problem-solving abilities, combined with a proactive, collaborative, and innovation-driven mindset.

Responsibilities

  • Design and optimize scalable data pipelines for processing large-scale structured and unstructured data.
  • Implement data governance frameworks to ensure quality, consistency, and compliance.
  • Collaborate with stakeholders on data sharing, integration, and transfer initiatives.
  • Build unified data analytics architectures using Microsoft Fabric to meet dynamic business needs.
  • Partner with analysts, ML engineers, and business teams to deliver reliable, production-ready solutions.
  • Leverage IaC and DevOps tools (e.g., Terraform, GitHub/GitLab CI/CD) to automate infrastructure and pipeline deployments.
  • Continuously improve performance, scalability, and cost-efficiency of data workflows.

Jesteśmy Devire – firmą rekrutacyjną, której celem jest łączenie świetnych ludzi ze świetnymi pracodawcami.

Niezależnie czy rozglądasz się za nową pracą na stałe czy projektem w formie współpracy B2B – możesz polegać na naszym wsparciu na każdym kroku.

Współpracujemy z pracodawcami z terenu całej Polski i realizujemy rekrutacje we wszystkich kluczowych obszarach technologicznych.