Data Engineer

Rebtel Networks AB; Stockholms kommun; On-site; SEK 600,000 - 800,000; Full time

Benefits offered by this job

Pension Plan

Health Checkups

Dental Insurance

Wellness allowance (5,000SEK)

30 days annual vacation

Job summary

Rebtel Networks AB is seeking a Data Engineer to enhance their data platform and influence analytics across the company. The role requires strong SQL skills, experience with cloud-based data platforms, and a background in data engineering. You'll be responsible for designing and maintaining reliable data pipelines while collaborating with various teams to meet their data needs.

Join us in Stockholm, where we value diversity and equal opportunity, providing benefits such as a pension plan, health checkups, and wellness allowance.

Qualifications

• 3+ years of experience in Data Engineering or a similar role.
• Experience building production-grade data pipelines.
• Ability to operate independently and take ownership of technical solutions.

Responsibilities

• Design and maintain scalable, reliable data pipelines for the Snowflake platform.
• Integrate data from a range of business and product systems.
• Troubleshoot and optimize data workflows and platform performance.

Skills

Strong SQL skills

Data engineering experience

Experience with dbt

Experience with Python

Experience with AWS

Data modeling best practices

Education

Degree in Computer Science, Engineering, or Mathematics

Tools

Looker

Tableau

Power BI

Job description

What will you do?

As a Data Engineer at Rebtel, you will do more than build pipelines; you'll help shape the future of our data platform and influence how data is used across the company. At Rebtel, data sits at the heart of how we build products, understand customers, optimise growth, and make decisions.

This is a hands‑on engineering role with significant ownership. You'll work across our modern data stack, build scalable data products, and help define the architecture that supports analytics, automation, and future AI initiatives.

If you’re excited by clean architecture, modern data engineering practices, and solving meaningful business problems at scale; if you care about data quality and believe trust in data is built through engineering discipline; if you enjoy solving complex problems and turning ambiguity into practical solutions; and if you’re excited to experiment with new technologies and approaches, we’d love to talk.

Areas of ownership

• Design, build, and maintain scalable, reliable data pipelines that power our Snowflake data platform
• Integrate data from a wide range of business and product systems
• Enable data activation across customer‑facing and operational platforms, including CRM, customer support, and marketing tools
• Develop robust monitoring, alerting, and observability practices to ensure platform reliability
• Troubleshoot, optimise, and continuously improve data workflows and platform performance
• Design and implement scalable ELT workflows using modern data engineering practices
• Build well‑structured dimensional models (facts and dimensions) that enable self‑service analytics and reporting
• Implement automated testing and quality controls throughout the data lifecycle
• Ensure data is accurate, accessible, and trusted across the organisation
• Work closely with analysts, product managers, engineers, marketers, and business stakeholders to understand data needs and deliver impactful solutions
• Help translate complex business challenges into scalable data products and datasets
• Support decision‑making by making data easier to discover, understand, and use
• Evaluate emerging technologies, frameworks, and industry best practices
• Run proof‑of‑concepts and contribute to strategic technology decisions
• Help define the future architecture of Rebtel’s data platform
• Continuously improve engineering standards, tooling, and developer experience

Requirements

• You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office
• 3+ years of experience in Data Engineering or a similar role
• Strong SQL skills and experience building production‑grade data pipelines
• Experience with modern ELT methodologies and data warehousing concepts
• Experience integrating data from multiple systems and sources
• Experience with dbt, Python, AWS, or similar cloud‑based data platforms
• Strong understanding of data modelling and analytics engineering best practices
• Ability to operate independently and take ownership of technical solutions
• Experience working in fast‑growing technology or digital product companies is a plus
• It’s a bonus if you’ve been exposed to customer analytics, marketing analytics, experimentation, or machine learning workflows
• Experience with BI tools such as Looker, Tableau, or Power BI is a plus
• It’s a plus with a degree in Computer Science, Engineering, Mathematics, or a related field

Benefits

• Pension Plan
• Health Checkups, Influenza shots and Private Medical Insurance
• Dental Insurance
• Occupational insurance
• Wellness allowance (5,000SEK)
• 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, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.