Data Engineer
Telavox ABJobbet i korthet
Anställningstyp
tillsvidareanstallning
Arbetstid
heltid
Ansök senast: 2027-02-08
Publicerad: 2026-08-12
Beskrivning
Join Telavox as a Data Engineer - Data Platform Team 📊
At Telavox, a data point is only as valuable as the trust people place in it. As a Data Engineer on our Data Platform Team, 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 have a data engineering background and want to move further up the stack, spending more time on modelling and less on infrastructure, 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 staging, intermediate, and mart 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 vibrant HQ in Malmö.
About you
You come from a data engineering background and are comfortable with ingestion pipelines, GCP, SQL performance, and change data capture - but you're looking to spend more of your time on modelling and data products, and less on infrastructure and platform work. You still take on real engineering responsibility; this isn't a role that hands off to a separate platform team, but your centre of gravity is shifting from "keeping the platform running" to "making the data right."
You can move up the stack when needed, curious about creating light web apps for delivering data and closing 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:
A background in data engineering, analytics engineering, or a similar role with a strong data focus
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
Join us at Telavox 💚
Since Telavox's journey started in 2002, we have strengthened our position as the leading forward-thinking communication platform for businesses. As a digital mobile operator, we develop and own our all-in-one communication platform, which integrates telephony, PBX, messaging, meetings, and contact centers, giving businesses a smarter way to connect.
Today, we're a thriving company with 1.9 billion SEK in revenue and 500+ Telavoxers across nine countries. We embrace AI and automation to push the boundaries of business communication.
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.
Read more about our new HQ in Malmö 🏠!
How to apply!
At Telavox, we don't focus on fitting in; we focus on making room for everyone.
We're always on the lookout for great talent, so applications are reviewed continuously. If you're ready to be part of an innovative, AI-driven telecom company, apply today with your CV and cover letter in English.
For any questions, feel free to reach out to Talent Acquisition Partner Ami Faraguna at ann-marie.faraguna@telavox.com
Learn more about what we do! ⬇️
At Telavox, a data point is only as valuable as the trust people place in it. As a Data Engineer on our Data Platform Team, 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 have a data engineering background and want to move further up the stack, spending more time on modelling and less on infrastructure, 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 staging, intermediate, and mart 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 vibrant HQ in Malmö.
About you
You come from a data engineering background and are comfortable with ingestion pipelines, GCP, SQL performance, and change data capture - but you're looking to spend more of your time on modelling and data products, and less on infrastructure and platform work. You still take on real engineering responsibility; this isn't a role that hands off to a separate platform team, but your centre of gravity is shifting from "keeping the platform running" to "making the data right."
You can move up the stack when needed, curious about creating light web apps for delivering data and closing 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:
A background in data engineering, analytics engineering, or a similar role with a strong data focus
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
Join us at Telavox 💚
Since Telavox's journey started in 2002, we have strengthened our position as the leading forward-thinking communication platform for businesses. As a digital mobile operator, we develop and own our all-in-one communication platform, which integrates telephony, PBX, messaging, meetings, and contact centers, giving businesses a smarter way to connect.
Today, we're a thriving company with 1.9 billion SEK in revenue and 500+ Telavoxers across nine countries. We embrace AI and automation to push the boundaries of business communication.
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.
Read more about our new HQ in Malmö 🏠!
How to apply!
At Telavox, we don't focus on fitting in; we focus on making room for everyone.
We're always on the lookout for great talent, so applications are reviewed continuously. If you're ready to be part of an innovative, AI-driven telecom company, apply today with your CV and cover letter in English.
For any questions, feel free to reach out to Talent Acquisition Partner Ami Faraguna at ann-marie.faraguna@telavox.com
Learn more about what we do! ⬇️
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Data Engineer
OM FÖRETAGET
Telavox AB
