Data Engineer

Are you looking for a role where you can challenge yourself, work with cutting-edge technology, and have fun doing it?

We’re partnering with a leading Nordic tech consultancy that specializes in designing, building, and maintaining modern solutions across Cloud, Data, and AI. They help ambitious companies transform how they use technology and are trusted partners to major cloud providers such as Microsoft, AWS, and Databricks.

About the Role

As a Data Engineer, you’ll be involved in diverse client projects focused on designing, building, and evolving modern data platforms. You’ll collaborate closely with architects, cloud engineers, and BI developers to create scalable, future-ready solutions using tools such as Azure, AWS, and Databricks.

Each project brings something new - different industries, challenges, and technologies, but what stays consistent is a culture of collaboration, technical excellence, and trust in your expertise.

What You’ll Gain

You’ll have the chance to grow your technical depth, explore data architecture, or move toward leadership or business-focused roles. Whether your next step is becoming a Cloud Platform Expert, Solution Architect, or Tech Lead, you’ll have clear opportunities to develop in that direction.

You’ll join a community of passionate data and cloud professionals who value learning and knowledge-sharing. Continuous growth happens not just through formal training and certifications but through collaboration, mentorship, and real-world problem-solving.

What We’re Looking For

You’re driven by solving complex problems and delivering real impact through data. You might already work as a consultant or be curious about moving into consulting - either way, you enjoy variety, teamwork, and building high-quality solutions.

To succeed in this role, you’ll need a mix of strong technical ability and a consulting mindset, clear communication, curiosity, and the confidence to both challenge and be challenged.

Your Background

• Bachelor’s or Master’s degree in Computer Science, IT, or Engineering
• Experience working with cloud and data technologies (Azure preferred; AWS or GCP also relevant)
• Strong understanding of data structures, processing, and modeling
• Hands-on experience with SQL, Python, and Spark
• Familiarity with Databricks is an advantage
• Proficiency in Git and CI/CD workflows
• Experience designing and maintaining large-scale data pipelines
• Understanding of data architectures such as Lakehouse or Medallion
• Experience with both real-time and batch data processing
• Fluency in Swedish and English