
Data Engineering Lead (GCP)
Capgemini Polska
Hybrid
Status
Hexjobs Insights
The Data Engineering Lead (GCP) role involves designing data pipelines on GCP, ensuring data quality, compliance, and providing leadership. Requires 8-12 years experience in data projects.
Schlüsselwörter
Google Cloud Platform
BigQuery
Cloud Composer
Airflow
SQL
Python
ETL/ELT pipelines
Data warehousing
Data engineering
Crisis management
Vorteile
- Private medical care including additional packages (dental, oncology)
- Life insurance
- 40+ options on NAIS benefit platform (Netflix, Spotify, Sports card)
- Hybrid working model with ergonomic home office setup
- Access to 70+ training tracks with certification opportunities
- Free access to multiple educational platforms
Technologies we use
About the project
Your responsibilities
- 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; 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; provide technical leadership and support during challenging situations
- Ensuring data privacy and compliance with regulations.
Our requirements
- 8 to 12 years of experience in implementation of large enterprise data cloud / data hub projects
- At least 5 years of Working in enterprise data lake / data cloud/ data hub projects
- 5+ years of experience in a technical leadership role, conceptualizing, designing, team management etc.
- Cloud Platform: Google Cloud Platform (GCP) – BigQuery, Cloud Composer (Airflow), Dataproc, Pub/Sub, Cloud SQL
- Programming: SQL, Python
- Data Engineering: ETL/ELT pipeline design and orchestration
- Data Warehousing: BigQuery
- Problem-Solving & Crisis Management: Ability to troubleshoot and resolve critical issues quickly.
- Leadership skills:
- Proven ability to lead and motivate large teams in a fast-paced, 24x7 environment
- Team guidance, collaboration, and handling challenging situations
- Ability to work effectively in a global, cross-functional team.
- Nice to have:
- Google Cloud certifications (e.g., Professional Data Engineer, Professional Cloud Architect)
- Expertise in Data modelling in any of the below functional Areas:
- HR, Finance, Sales, Legal, Service Delivery.
What we offer
- Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card.
- Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home thanks to HO package (including laptop, monitor, and chair). Ask your recruiter about the details.
- Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
- Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy.
Benefits
Aufrufe: 4
| Veröffentlicht | vor 4 Tagen |
| Läuft ab | in 26 Tagen |
| Arbeitsmodus | Hybrid |
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