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sperton·1 day ago

Cloud Data Engineer

Sweden, Sweden, SEInternshipMid · 2-5 yearsH1B likely

About this role

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.

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