Data Engineering Lead (GCP)

Data Engineering Lead (GCP)

Capgemini Polska

Hybrid

Hexjobs Insights

Role: Data Engineering Lead (GCP). Responsibilities include designing data pipelines, ensuring data quality/security, mentoring team members, and crisis management. Requirements: 8+ years experience in cloud projects, strong leadership skills.

Schlüsselwörter

GCP
BigQuery
Cloud Composer
SQL
Python
ETL
Data Engineering
Data Warehousing
Crisis Management
Leadership

Vorteile

  • Private medical care with additional packages
  • Life insurance
  • Options on NAIS benefit platform (Netflix, Spotify, Sports card)
  • Hybrid working model
  • Access to over 70 training tracks with certification opportunities
  • Free access to language platform and courses

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: 3
Veröffentlichtvor 6 Tagen
Läuft abin 24 Tagen
ArbeitsmodusHybrid

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