Data Engineering Lead (GCP)

Data Engineering Lead (GCP)

Capgemini Polska

Gdańsk
Wrocław
Warszawa
Lublin
Poznań
Wrocław, Lower Silesia
Warszawa, Masovian
Opole
Kraków, Lesser Poland
Katowice, Silesian
Gdańsk, Pomeranian
Poznań, Greater Poland
Hybrydowa
GCP
BigQuery
Cloud Composer
SQL
Python
ETL
Data Engineering
Data Warehousing
Crisis Management
Leadership

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.

Słowa kluczowe

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

Benefity

  • 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

Wyświetlenia: 1
Opublikowana5 dni temu
Wygasaza 25 dni
Tryb pracyHybrydowa
Źródło
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