Senior Analytics Engineer

Rebtel Networks AB; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

Pension Plan

Health Insurance

Dental Insurance

Wellness allowance

Gym discount

Relocation Support

30 days annual vacation

Monday breakfasts

Job summary

Rebtel is seeking a Senior Analytics Engineer to manage data transformations in dbt and own the semantic LookML layer in Looker. You will ensure high data quality, documentation, and self-service analytics across the organization.

You will collaborate with the Data Engineer and stakeholders from product, growth, finance, and operations to deliver reliable datasets and analytics. Strong SQL, data modeling, and Looker expertise are essential.

Qualifications

• 5+ years in Analytics Engineering or related field.
• Experience with dbt and semantic layer ownership is preferred.
• Strong SQL skills and data modeling understanding.
• Ability to communicate data concepts to engineers and business stakeholders.

Responsibilities

• Design, build, and maintain data transformations in dbt and the data marts.
• Own LookML semantic layer and Looker platform administration.
• Enforce data quality with testing, validation, and monitoring.
• Document data and promote data literacy for technical and non-technical audiences.
• Optimize query performance on Snowflake and collaborate with Data Engineer.

Skills

SQL

dbt

LookML

Data Modeling

Communication

Tools

Snowflake

Git

CI/CD

Looker

Job description

What will you do?

As a Senior Analytics Engineer at Rebtel, you are the person who makes data trustworthy and usable at scale. You sit at the heart of our data platform, sitting between the pipelines that bring data in and the teams who rely on it to make decisions every day. Your job isn't to do the reporting; it's to make great analytics possible for everyone else.

This is a hands‑on engineering role with real ownership. You'll take charge of our transformation layer in dbt, own the semantic layer in Looker, and make sure that data across the organization is well‑modeled, tested, documented, and trusted. You'll work closely with our Data Engineer on platform quality and standards, and partner with stakeholders across product, growth, finance, and operations to turn their data needs into solid, self‑service data products.

If you care deeply about data quality and believe that good engineering is what makes analytics possible; if you get satisfaction from turning raw, messy data into something clean and reliable; if you want to be the person the rest of the company depends on when they need to understand a metric or find the right dataset, we'd love to talk.

Areas of ownership

• Design, build, and maintain data transformations in dbt, including facts, dimensions, and data marts, that power self‑service analytics across the company
• Own Rebtel's semantic layer: write and maintain LookML, manage Looker platform administration, and make sure the self‑service experience is accurate, discoverable, and scalable
• Enforce data quality through rigorous testing, validation, and monitoring throughout the transformation layer
• Drive data documentation and literacy, making data easy to discover, understand, and use for both technical and non‑technical audiences, including AI agents
• Optimize query performance and improve efficiency across our Snowflake data platform
• Partner with the Data Engineer on modeling standards, platform reliability, and end‑to‑end pipeline quality
• Work with stakeholders across the business to understand their data needs and turn them into reliable, well‑structured data products
• Stay current with analytics engineering best practices and help shape how we build, govern, and evolve our data platform

Requirements

• You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office
• 5+ years of experience in Analytics Engineering, Data Engineering, or a closely related role
• Strong SQL skills and hands‑on production experience with dbt
• Experience owning a semantic layer, with LookML and Looker strongly preferred
• Solid understanding of dimensional modeling and analytics engineering best practices and architectures
• Familiarity with Snowflake or similar cloud data warehouses
• Experience with Git and CI/CD workflows
• Strong documentation and communication skills; you can explain data to both engineers and business stakeholders

Benefits

• Pension Plan
• Health Checkups, Influenza shots and Private Medical Insurance
• Dental Insurance
• Occupational insurance
• Wellness allowance (5,000 SEK)
• Discount on gym memberships
• Bonus program
• Extra parental pay
• 30 days annual vacation
• Monday breakfasts
• Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition.

We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.