Analytics Engineer

Telavox; Malmö kommun; On-site; SEK 491,427 - 709,839; Full time

Benefits offered by this job

Flexible work options

Adaptable hours

Job summary

Telavox is seeking an Analytics Engineer in Malmö to own the entire data lifecycle from backend ingestion to insightful dashboards. You will transform raw data into meaningful data models and play a critical role in shaping analytics engineering. This position emphasizes advanced SQL, dbt fundamentals, and close collaboration with business stakeholders. Flexible work options are provided, allowing for a good work-life balance.

Qualifications

• Advanced SQL skills with strong dbt fundamentals including incremental models and snapshots.
• Solid knowledge of BigQuery for performance tuning and cost controls.
• Experience creating dimensional models or equivalent analytical schemas.
• Fluent in English, both written and spoken; Swedish is a plus.

Responsibilities

• Own the dbt project to transform raw data into reliable tables.
• Design and evolve data marts with Telavox business logic.
• Operate CDC pipelines and monitor performance.
• Build and maintain the semantic layer for self-service analytics.
• Partner with stakeholders to create lasting data products.

Skills

Advanced SQL

Strong dbt fundamentals

Solid BigQuery knowledge

Ability to translate business questions into data models

Fluent English

Experience with Python

Experience with CDC concepts

Job description

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 you

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 stakeholders and close the feedback loop on your models.

You are pragmatic and ownership-minded, taking pride in end-to-end delivery. You are comfortable speaking business with a Sales Lead and SQL with a Developer in the same afternoon, and you are always focused on making data genuinely useful to the people who depend on it. We are also looking for someone genuinely curious about AI, eager to help shape how Claude and similar tools fit into analytics engineering and bring a point of view on where AI adds real leverage and where it does not.

We are looking for someone with:

• Advanced SQL and strong dbt fundamentals, including incremental models, snapshots, tests, and macros
• Solid BigQuery knowledge across partitioning, clustering, cost controls, and performance tuning
• Experience building dimensional models or equivalent analytical schemas
• Ability to translate business questions into durable data models, and to push back when the question is wrong
• Working Python for tooling, scripts, and operational tasks
• Experience with CDC concepts, Fivetran, or a semantic layer such as Cube or MetricFlow is a strong plus
• Fluent English, written and spoken. Swedish is a plus

Benefits

We offer flexible work options and adaptable hours, giving you the freedom to balance life and career while staying connected to our vibrant Telavox culture.