Data Engineer

About Justera Group

Justera Group AB is a leading Swedish IT consulting firm with great experience specializing in building high-performing technology

teams and delivering end-to-end IT solutions. Led by dynamic female executives, Justera Group focuses on helping businesses

harness the power of digital technologies to continuously evolve in today’s rapidly changing economy. The company has deep

expertise in IT consultancy, software development, and recruitment services, providing clients with purpose-driven, well-trained

consultants who consistently deliver efficient and effective results. Justera Group manages the entire talent lifecycle, from

hiring to ongoing management, ensuring the right fit for each project on time and within budget. With their strong commitment to

quality, collaboration, and client success, Justera Group is a trusted partner for technology innovation across Sweden.

About the Role:

We are now looking for a Data Engineer. You will join a team building digital products that provide performance insights across

Customer Meeting Points (CMPs) and franchisees. The goal is to consolidate data from multiple business systems into trusted,

scalable, and automated data products supporting reporting, analytics, governance, business decision-making, and continuous

improvement.

As a Data Engineer, you will design, build, and maintain automated data solutions for CMP and Franchisee Performance Evaluation

products. You will help transform manual and fragmented reporting into a reliable, centralized analytics ecosystem, ensuring data

accuracy, validation, version control, and auditability.

• Work across the full data engineering lifecycle, from ideation, architecture, and requirements to development, testing,

deployment, and operational follow-up.

• Design and implement end-to-end data pipelines, including ingestion, transformation, and serving layers for both batch and

streaming data.

• Ensure data quality through validation, monitoring, performance optimization, troubleshooting, version control, and

auditability.

• Hands-on experience with Databricks, including Apache Spark, Delta Lake, job orchestration, performance tuning, and environment

management.

• Experience with DevOps practices, including Git/source control, CI/CD pipelines, automated testing, environment promotion, and

Infrastructure as Code.

• Strong understanding of data engineering guidelines, release processes, data validation, monitoring, and production

troubleshooting.