Cloud Data Engineer

Sperton Global AS • Sweden, ME

23h • Onsite

About The Position

We are hiring on behalf of one of our clients for an experienced Senior Cloud Data Engineer to join a business-critical reporting and data engineering team. This role focuses on modernizing legacy reporting platforms into a cloud-native data ecosystem built on Google Cloud Platform (GCP). You will play a key role in designing, building, and maintaining scalable data pipelines, APIs, and cloud-based data products while helping shape the organization's technical roadmap. If you enjoy combining hands-on engineering with technical design and modern cloud architectures, this opportunity is for you.

Requirements

• Several years of experience in software development and data engineering.
• Hands-on experience delivering solutions on Google Cloud Platform (GCP) or similar cloud platforms.
• Strong programming skills in Python.
• Strong knowledge of BigQuery and SQL.
• Experience building scalable data solutions using: BigQuery, Dataform, Airflow, Pub/Sub, Docker.
• Good understanding of modern data architectures, including Data Warehouse and event-driven architectures.
• Experience with ETL development and data modelling (Dimensional Modelling and/or Data Vault).
• Experience with DevOps practices including CI/CD, GitLab, and Infrastructure as Code (Terraform or similar).
• Ability to translate business requirements into scalable technical solutions.
• Strong collaboration and communication skills.
• Fluent English (required).

Nice To Haves

• Swedish is an advantage.

Responsibilities

• Design, develop, and maintain scalable cloud-based data solutions.
• Build and modernize data pipelines, APIs, and data products.
• Develop and maintain business-critical reporting solutions.
• Bridge legacy systems with modern cloud-native architecture.
• Contribute to the technical roadmap for data and integration solutions.
• Participate in architecture and technical design decisions.
• Ensure solutions align with architectural standards and best practices.
• Build and optimize data pipelines using GCP technologies.
• Develop scalable solutions using BigQuery and related cloud services.
• Design efficient ETL processes and data models.
• Work closely with architects, Product Owners, and business stakeholders.
• Translate business requirements into technical solutions.
• Support continuous improvements across the data platform.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed