Data engineer

Data Engineer – Databricks & Azure

Mosaic BI is a newly established BI consulting company, and we’re looking for a talented and driven Data Engineer to join us on our exciting journey! Help our clients elevate their data-driven decision-making by delivering cutting-edge solutions built on Databricks and Azure. This is your chance to work on impactful projects at the forefront of data and analytics while growing alongside a fast-moving, ambitious company.

The Role

As a Data Engineer at Mosaic BI, you will:

• Collaborate with clients across industries to design and implement scalable data platforms using Databricks and Azure.
• Build and optimize data pipelines to ensure efficient, reliable, and high-performance data processing.
• Develop and integrate data models to support advanced analytics and machine learning initiatives.
• Work with both real-time and batch processing of large data sets to deliver actionable insights.
• Provide guidance and expertise on data governance, security, and best practices for modern data engineering.
• Support clients in strengthening their internal capabilities by mentoring and enabling key stakeholders.

Who You Are

• Experience: 3+ years of hands-on experience with Databricks, Azure Data Factory, or similar platforms.
• Technical Skills: Proficiency in Python, SQL, Spark, and data pipeline tools. Familiarity with cloud-based data architecture and large-scale data processing.
• Mindset: A strategic thinker with a passion for solving complex data challenges. Excited about contributing to a growing startup and working on transformative projects.

Why Join Us?

• High-Impact Projects: Start contributing to meaningful client projects from day one.
• Professional Growth: Develop your skills in platforms like Databricks, Azure, AI and emerging data tools.
• Shape the Future: Play a key role in building Mosaic BI into a leader in BI & data consulting.
• Collaborative Team: Work with a supportive group of professionals who value your expertise and help you succeed.

Starting Date: As soon as possible

Location: Stockholm, Sweden (hybrid remote, primarily on-site)

Let’s talk soon!