Data Engineering Lead (Data Science)

TL;DR

Data Engineering Lead (GCP): Design and implement robust data pipelines and scalable data engineering solutions using GCP services. Focus on data quality, security, compliance, and providing technical leadership to the team.

Location: Katowice, Warszawa, Wrocław, Poznań, Gdańsk, Lublin, Opole, Kraków.

Company

hirify.global is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology.

What you will do

• Design and implement robust data pipelines and workflows using GCP Composer (Airflow), BigQuery, data quality, data lineage, and metadata management and data security.
• Develop and optimize scalable data engineering solutions leveraging GCP services (Dataflow, Dataproc, Pub/Sub).
• Ensure data quality, security, and compliance across all data processes.
• Troubleshoot and resolve complex technical issues quickly and lead crisis management efforts to minimize impact.
• Collaborate with cross-functional teams to deliver high-quality, reliable data solutions aligned with enterprise strategy.
• Mentor and guide team members and provide technical leadership and support during challenging situations.

Requirements

• 8 to 12 years of experience in implementation of large enterprise data cloud / data hub projects.
• At least 5 years of experience working in enterprise data lake / data cloud/ data hub projects.
• 5+ years of experience in a technical leadership role, conceptualizing, designing, and team management.
• Experience with Google Cloud Platform (GCP) – BigQuery, Cloud Composer (Airflow), Dataproc, Pub/Sub, Cloud SQL.
• Proficiency in SQL and Python.
• Experience with ETL/ELT pipeline design and orchestration.
• Strong problem-solving & crisis management skills.

Nice to have

• Google Cloud certifications (e.g., Professional Data Engineer, Professional Cloud Architect).
• Expertise in Data modeling in any of the below functional Areas: HR, Finance, Sales, Legal, Service Delivery.

Culture & Benefits

• Private medical care with additional packages available on preferential terms, life insurance and 40+ options on the NAIS benefit platform.
• Hybrid working model is available after completing onboarding.
• Access to over 70 training tracks with certification opportunities on the NEXT platform.
• Continuous feedback and ongoing performance discussions.