Analytics Engineer
You shape data products, transformations, tests and reusable analytical assets with business meaning in mind.
Careers
If you enjoy Power BI, Azure, SQL, Power Platform, semantic models, automation and AI-ready analytics, you can do meaningful enterprise work here without drowning in bureaucracy.
Roles we like to meet
You do not need to fit a rigid job description. If you can think clearly, learn quickly and deliver work that survives real client use, we want to hear from you.
You shape data products, transformations, tests and reusable analytical assets with business meaning in mind.
You care about semantic structure, DAX, performance, adoption and governance, not only attractive report pages.
You turn planning, approvals and write-back scenarios into controlled Power Apps and Power Automate workflows.
You like Azure, SQL, lakehouse, Databricks or Fabric work, and you think about security, lifecycle and operation too.
You can translate stakeholder questions into scope, definitions, releases and practical delivery decisions.
You connect business goals, data foundations, semantic models, workflow and AI readiness into one coherent plan.
How collaboration works
You work close to the problem, close to senior people and close to the client outcome. That means faster learning, more responsibility and less empty process.
Careers
Tell us what you are strongest at, where you want to grow and which technologies make you curious. We work on serious BI, data platform, automation and AI projects with people who are passionate about their craft.