Cloud Data Engineer – GCP Pipelines & AI-Driven Analytics

SEB

Pargas

On-site

EUR 85,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Skilled team
Industry transformation
Tech-forward company
Competitive compensation
SEB staff banking benefits

Job summary

SEB is seeking a data and analytics engineer to design, build, and maintain scalable cloud-native data pipelines on Google Cloud Platform (GCP). You will contribute to ingestion, orchestration, transformation, and monitoring while improving data quality and governance across the platform.

You will collaborate with cross-functional teams, participate in agile ceremonies, and drive CI/CD and automation enhancements to enable faster, reliable data products for reporting and analytics.

Qualifications

  • Several years of experience in software or data engineering.
  • Strong proficiency in Python and SQL.
  • Experience building and maintaining scalable data pipelines.
  • Experience working with cloud-based data platforms (preferably GCP).
  • Experience with orchestration or workflow tools (e.g., Airflow or similar).
  • Understanding of modern data architectures (e.g., Data Warehouse, Data Lake).
  • Proven experience working with CI/CD pipelines and Git-based development workflows.
  • A collaborative mindset and ability to work effectively in cross-functional teams.
  • Experience using LLMs as part of your development workflow, either professionally or through personal projects.

Responsibilities

  • Design, build, and maintain scalable cloud-native data pipelines on GCP.
  • Contribute to ingestion, orchestration, transformation, monitoring, and operational improvements.
  • Ensure data quality, governance, and maintainability across the platform.
  • Develop reusable engineering patterns, CI/CD and automation practices.
  • Improve observability and onboarding of new teams onto the platform.
  • Collaborate with colleagues in agile ceremonies and PI planning.

Skills

Python
SQL
Data pipelines
GCP
CI/CD
LLMs
Team collaboration
Airflow

Tools

Airflow
Docker
Git
BigQuery

Job description

SEB is seeking a data and analytics engineer to design, build, and maintain scalable cloud-native data pipelines on Google Cloud Platform (GCP). You will contribute to ingestion, orchestration, transformation, and monitoring while improving data quality and governance across the platform.

You will collaborate with cross-functional teams, participate in agile ceremonies, and drive CI/CD and automation enhancements to enable faster, reliable data products for reporting and analytics.

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