We are hiring Data Engineer for Sweden.
Job Summary:
We are looking for an experienced Data Engineer responsible for building and modernizing business-critical data platforms and reporting solutions. The role focuses on designing, developing, and maintaining cloud-native data solutions while supporting the transformation from legacy platforms to a modern Google Cloud Platform (GCP) ecosystem. You will play a key role in enabling reliable, scalable, and accessible data products that drive business insights and next-generation applications.
Educational Qualification: Bachelor’s degree in Computer Science, or related field, or equivalent professional experience.
Roles & Responsibilities:
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Platform Modernization & Architecture: Drive technical design and migrate legacy systems to scalable, cloud-native enterprise data platforms on GCP, ensuring alignment with architecture standards, DevOps/IaC practices, and long-term data roadmaps.
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Pipeline & Data Solution Engineering: Design, build, and optimize end-to-end ETL/ELT data pipelines, APIs, and analytical models while collaborating with cross-functional Agile teams to deliver high-quality, reliable, and performant data products.
Technical Skills & Expertise:
- 6+ years of experience in Data Engineering development.
- Strong hands-on experience with Google Cloud Platform (GCP) or similar cloud platforms.
- Proficiency in Python, SQL, and BigQuery.
- Experience building scalable data solutions using BigQuery, Dataform, Apache Airflow, Pub/Sub, and Docker.
- Experience with ETL/ELT processes and data modeling techniques such as Dimensional Modeling and Data Vault.
- Hands-on experience with DevOps, CI/CD, GitLab, and Infrastructure as Code (Terraform).
- Strong understanding of modern data architectures, including Data Warehousing and Event-Driven Architecture.
- Experience designing and implementing cloud-native integration and data pipeline solutions.
- Knowledge of Agile development methodologies and modern software engineering best practices.
Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Ability to translate business requirements into scalable technical solutions.
- Proactive, collaborative, and quality-focused mindset.
- Comfortable working in cross-functional Agile teams.
Job Features
| Job Category | Data Engineering and Data Management |
