About the role

Design, develop, and maintain scalable cloud-based data solutions and pipelines using Google Cloud Platform. Collaborate with architects and stakeholders to modernize legacy reporting platforms into a cloud-native data ecosystem.

What they look for

Google Cloud Platform Python BigQuery SQL Data Engineering ETL Data Modeling Data Pipelines APIs Dataform Airflow Pub/Sub Docker DevOps CI/CD Terraform

Requirements

Requires several years of experience in software development and data engineering with strong proficiency in Python, BigQuery, and SQL. Candidates must have hands-on experience with cloud platforms and modern data architecture practices.

Full description

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.