We are Sweden's leading app and marketplace for booking beauty and wellness services. As a SaaS company with industry-leading
software, we empower more than 16,000 professionals across the country. Our platform brings together nearly every salon and clinic
in Sweden, making it easy for consumers to book appointments with hairdressers, massage therapists, podiatrists, beauty salons,
chiropractors, and many other specialists—all in one place.
On Bokadirekt.se, consumers can discover, book, and pay for treatments and services in just a few clicks. Every month, our
platform is visited by 3 million consumers, and more than 2 million bookings are made through our website and app. We’re growing
rapidly and are currently a team of more than 100 employees, with offices in Stockholm and Luleå.
ABOUT THE ROLE
We are looking for a Data Engineer to join our Data & Analytics team and help shape the future of data and AI at Bokadirekt.
As a Data Engineer, you will be responsible for building, maintaining, and evolving the data platform that powers analytics,
business intelligence, and AI across the company. You'll work at the intersection of data engineering and AI, ensuring our data
infrastructure is reliable, scalable, and ready to support everything from reporting and experimentation to LLM-powered features
and machine learning pipelines.
You will collaborate closely with product managers, software engineers, analysts, and other stakeholders to create high-quality
data products and enable data-driven decision-making throughout the organization. This is an opportunity to have a significant
impact on both our technical platform and how data and AI are used to create value for millions of users every month.
WHAT YOU'LL DO
Design, build, and optimise scalable ELT pipelines that power analytics, reporting, and AI initiatives across the company
Build a reliable, trusted and well-documented source of truth for company KPIs
Work on the integration of AI capabilities into our data infrastructure
Collaborate on the development and deployment of machine learning solutions and AI-powered features
Identify and carry out data platform cost optimization initiatives
WHO YOU ARE
Degree in Computer Science, Data Science, Statistics, Physics or related field
- Proven experience (4-6 years) as a Data Engineer, Data Scientist, ML Engineer or AI Engineer, ideally in a technology-driven
environment
Strong proficiency in SQL and Python
Solid data engineering fundamentals with hands-on AI experience
Strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders
- Experience with GCP (BigQuery, GCS, Gemini Agent Platform, Looker), Airflow, dbt and Cube is a plus. Bonus points for prompt
engineering, LLM APIs, NL querying and RAG
Professional fluency in English
WHAT WE OFFER
The opportunity to build and scale the data platform behind one of Sweden's most widely used consumer apps
- The chance to work with modern data and AI technologies, helping shape the foundations for analytics, machine learning, and
LLM-powered solutions
A collaborative culture built on ownership, innovation, and knowledge sharing
- A flexible hybrid work model with four days in the office each week, including Wednesdays as our "Inspiration Day," when the
whole company comes together for breakfast and shared activities
A modern office in the heart of Stockholm
A competitive salary and benefits package
ABOUT THE POSITION
Start date: As soon as possible / By agreement
Location: Our office at Kungsgatan 38 in central Stockholm (hybrid)
Employment type: Full-time, permanent position
APPLICATION
We review applications continuously, and the position may be filled before the application deadline. We therefore encourage you to
apply as soon as possible.