Analytics Engineer

Telavox AB; Malmö kommun; On-site; SEK 502,200 - 669,600; Full time

Job summary

Telavox AB is seeking an Analytics Engineer to oversee the complete lifecycle of data from backend events to insightful dashboards. This role is pivotal in ensuring the accuracy and accessibility of data used by leadership.

Located in Malmö, candidates should possess advanced SQL and dbt skills, be fluent in English, and have a strong foundation in BigQuery. The role necessitates strong analytical capabilities to translate business questions into effective data models.

Qualifications

• Advanced SQL skills required for data transformation.
• Solid understanding of BigQuery for performance tuning.
• Experience in building analytical models from business questions.

Responsibilities

• Own the dbt project to manage data transformation.
• Design and evolve data marts reflecting business logic.
• Operate CDC pipelines and manage BigQuery performance.

Skills

Advanced SQL

Strong dbt fundamentals

Solid BigQuery knowledge

Experience building dimensional models

Working Python

Experience with CDC concepts

Fluent English

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.

Location: Based at our new HQ in Malmö.

Responsibilities

• 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 organisational 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.
• Spin up dashboards to validate data with stakeholders and close the feedback loop on models.

Qualifications

• 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.
• Curiosity about AI and eagerness to help shape how Claude and similar tools fit into analytics engineering, bringing a point of view on where AI adds real leverage.

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.

You are pragmatic and ownership‑minded, taking pride in end‑to‑end delivery and comfortable speaking business with a Sales Lead and SQL with a Developer in the same afternoon. You are always focused on making data genuinely useful to the people who depend on it.