Data Engineer

We are Swedens leading app and marketplace for booking beauty and wellness services. As a SaaS company with industry-leading software we empower more than 16000 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 specialistsall in one place.

On 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. Were growing rapidly and are currently a team of more than 100 employees with offices in Stockholm and Luleå.

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. Youll 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.

• 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

• 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

• The opportunity to build and scale the data platform behind one of Swedens 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

Start date: As soon as possible / By agreement

Location: Our office at Kungsgatan 38 in central Stockholm (hybrid)

Employment type: Full-time permanent position

We review applications continuously and the position may be filled before the application deadline. We therefore encourage you to apply as soon as possible.