Data Engineer

Sperton Global AS • Sweden, ME

1d • Onsite

About The Position

A modern data consultancy focused on building long-term, high-quality data solutions that create real business value. In a world where AI can generate code in seconds, true impact comes from deep craftsmanship, strong data modeling, and a solid understanding of quality and security.
The company is founded by experienced entrepreneurs, technical leaders, and sales professionals who understand how to build sustainable teams and meaningful client partnerships. The ambition is to shape the future of tech consulting by combining technical excellence with a human-centered culture.
The company designs and builds robust data platforms, pipelines, and architectures that help organizations turn data into actionable insights.
Work spans modern data ecosystems, including cloud-based platforms, advanced data processing, and AI-supported workflows. The focus is on scalable, maintainable, and secure solutions using technologies such as Python, SQL, Microsoft Fabric, Databricks, Apache Spark, and dbt.
Looking for a Data Engineer or Backend Developer with 4–5 years of experience (or more senior) who wants to grow within the data domain and work with modern technologies in a meaningful way.

Requirements

• Degree in Engineering, Computer Science, or related field.
• 4–5+ years of experience as a Data Engineer or Backend Developer.
• Strong skills in Python and SQL.
• Experience with data pipelines and modern data platforms.
• Fluent in Swedish (spoken and written).

Nice To Haves

• Experience with Databricks, Microsoft Fabric, Apache Spark, or dbt is a plus.
• Interest in AI and modern coding tools.

Responsibilities

• Design, build, and maintain scalable data pipelines and platforms.
• Ensure high data quality, security, and maintainability.
• Collaborate with clients to translate business needs into technical solutions.
• Act as a bridge between modern technologies and sustainable system design.
• Work on-site with client assignments.
• Develop and optimize data pipelines using Python, SQL, and modern platforms.
• Work with cloud and data technologies such as Databricks, Microsoft Fabric, Spark, or dbt.
• Participate in client projects ensuring long-term value and technical excellence.
• Explore and apply AI tools to enhance development workflows.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees