Analytics Engineer
About this role
Join Telavox as an Analytics Engineer 📊
At Telavox, a data point is only as valuable as the trust people place in it. As our Analytics Engineer, you will own the full lifecycle of that data point, from raw backend event all the way to the dashboard where an executive acts. You are the person who makes sure the numbers leadership sees are the right ones, and that the path from raw event to insight is modeled, tested, and trustworthy.
We think of this role as the organisation's librarian: data at Telavox should not just be available, it should be findable, well-defined, and ready to use. If you like the craft of making data genuinely useful and you want to own it from pipeline to prototype, this role is built for you.
About the job
You will be responsible for making data real across the organisation, building and maintaining the pipelines, models, and datasets that analysts and business leaders depend on every day.
Your day-to-day work includes:
Own the dbt project: transform raw data into staged, modeled, documented, and tested tables across bronze, silver, and gold layers
Design and evolve data marts that encode real Telavox business logic in ways that survive org and product changes
Operate our CDC pipelines, monitor health, respond to failures, and manage BigQuery cost and performance
Build and maintain the semantic layer that powers self-service and agentic analytics
Partner with analysts and business stakeholders to turn questions into durable data products rather than one-off reports
This role is based at our new HQ in Malmö.
About Telavox AB
This role sits closer to data engineering than classic BI. Your centre of gravity is the backend: ingestion pipelines, GCP, SQL performance, and change data capture. You will take on real data engineering responsibilities; this is not a role that hands off to a separate platform team. That said, you are not only a backend engineer. You can move up the stack when needed, spinning up a dashboard to validate data with sta