Cloud Data Engineer
Build scalable cloud-native data platforms in Solna using GCP, Python, BigQuery, Airflow, SQL, and modern data engineering technologies in a long-term hybrid assignment.
Location: Solna, Sweden
Employment Type: Full-time Consultant Assignment
Assignment Period: 1 September 2026 – 31 August 2028 (Extension possible)
Language Requirements: Fluent English (required) Swedish is an advantage.
Apply Before: 2026-08-14
About the Role
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.
Key Responsibilities
Cloud Data Engineering
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.
Technical Design
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.
Data Platforms
Build and optimize data pipelines using GCP technologies.
Develop scalable solutions using BigQuery and related cloud services.
Design efficient ETL processes and data models.
Collaboration
Work closely with architects, Product Owners, and business stakeholders.
Translate business requirements into technical solutions.
Support continuous improvements across the data platform.
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.
About Sperton
This Position is Sponsored by Sperton Global, a recruitment and consulting company with an international reach. We are committed to helping our clients achieve success in their hiring processes, finding the right people for the right positions.
- Department
- Consultant jobs
- Locations
- Sweden
- Employment type
- Contract
- Job location
- Solna, Sweden
- Employment Level | Seniority
- Mid-Senior level
Colleagues
Workplace & Culture at Sperton
At Sperton, we believe that great results come from great people.
Our culture is built on trust, collaboration, and a shared passion for delivering quality in everything we do.
We are a Norwegian-owned international company with colleagues across Europe, Asia, and the USA, working together seamlessly across time zones and cultures. Our teams are diverse, yet united by the same goal — to connect people and companies in meaningful ways.
We value openness, initiative, and continuous learning. Everyone at Sperton is encouraged to take ownership, share ideas, and challenge existing ways of working to make our solutions even better.
Even though we operate globally, our approach is personal. We take pride in creating a supportive and inclusive environment where people feel heard, respected, and motivated to grow — both professionally and personally.
