Cloud Data Engineer – GCP Pipelines & AI-Driven Analytics

SEB; Solna kommun; On-site; SEK 650,000 - 900,000; Full time

Benefits offered by this job

Competitive compensation and benefits

SEB staff banking benefits

Innovative tech environment

Job summary

SEB is seeking a cloud-focused data engineer to join our Data, Analytics and Reporting team in Stockholm. You will design, build and maintain scalable data pipelines on GCP, collaborate across squads, and drive data quality, governance and automation.

You will work with Python, SQL, Airflow and CI/CD, contribute to reusable patterns, and help onboard new teams to the platform. Experience with data architectures and modern data platforms is valued.

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 governance of data.
• Drive CI/CD, automation, observability improvements, and onboarding of new teams to the platform.

Skills

Python

SQL

Data pipelines

GCP

Airflow

CI/CD

Git

LLMs

Tools

Docker

BigQuery

Job description

SEB is seeking a cloud-focused data engineer to join our Data, Analytics and Reporting team in Stockholm. You will design, build and maintain scalable data pipelines on GCP, collaborate across squads, and drive data quality, governance and automation.

You will work with Python, SQL, Airflow and CI/CD, contribute to reusable patterns, and help onboard new teams to the platform. Experience with data architectures and modern data platforms is valued.