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Full-time
Flexible work options, Adaptable hours
Posted 2h ago
~40 hrs/week
Responsibilities
You will own the full lifecycle of data points by building and maintaining pipelines, models, and datasets for business stakeholders. Additionally, you will manage the dbt project, operate CDC pipelines, and develop the semantic layer to ensure data is findable and trustworthy.
Requirements
The ideal candidate has a strong background in data engineering or analytics engineering with advanced SQL and dbt skills. You must have experience with BigQuery, dimensional modeling, and Python, along with a pragmatic approach to turning business questions into durable data products.
Full job description
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.
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 [email protected]
Learn more about what we do! ⬇️
Related keywords
Data EngineeringAnalytics EngineeringSQLdbtBigQueryPythonGCPCDCFivetranCubeMetricFlowData ModelingData MartsSemantic LayerData PipelinesDimensional Modeling
Over 1 million users, from small businesses to global corporations, rely on Telavox AI-powered business telephony ☁✨📞
Industry
Telecommunications
Company size
201-500 employees
Founded
2003
Headquarters
Malmö
LinkedIn followers
10,595
We are a mobile operator only for businesses, specializing in simplifying and innovating telephony. Our app combines fixed and mobile telephony, PBX, AI, collaboration and integrations, all designed to improve productivity and streamline communication.
With an intuitive user experience and flexible features, Telavox empowers companies of all sizes to communicate better, work smarter, and stay in control.
Offices: Stora Varvsgatan 6a, Malmö, 21119, SE · Torsgatan 26, Stockholm, Stockholm County 113 21, SE · Mariane Thomsens Gade 4b, Aarhus, Middle Jutland 8000, DK · Stora Åvägen 21, Gothenburg, Vastra Gotaland County 436 34, SE · Huskvarnavägen 82, c/o GRO36, Jönköping, Jonkoping County 554 66, SE
VoIPIP communicationsCloud communicationDevelopmentPBXTelephonyContact centerand Business telephonyInformation TechnologyInternet of Things
How many Data & Analytics jobs are open in Malmö, Sweden right now?
There are currently 27 open data & analytics positions in Malmö, Sweden listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Malmö, Sweden?
Companies currently hiring include Deloitte, Softronic, E.ON Energie, ASSA ABLOY Group, Dr.Dropin, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Malmö, Sweden?
Yes — 18 of the 27 open data & analytics positions offer remote or hybrid work (0 remote, 18 hybrid).
How do I apply for Data & Analytics jobs in Malmö, Sweden?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.