-
Kappahl Group

Data Scientist/Data Engineer

Kappahl Group
Sweden · Full-time · Entry

Welcome to workdays filled with development, creativity, and fantastic colleagues! The retail industry is changing, and we are changing with it! Are you looking for a new challenge where you play a key role in enhancing the organization´s ability to gain important business insights and optimize business decisions. Apply today!

Kappahl exist to celebrate diversity in everyday life. We want to broaden the definition of diversity to include many ways of living life – empowering people to stay true to themselves at any given time, our customers as well as our employees. The Kappahl team consists of 4,000 colleagues at 400 workplaces in 10 countries with the common motivation to offer fashion fit for life to a wide variety of people and lifestyles. A Responsible Fashion that feels right, for people and for the world we live in. Today, 70% of our products are labelled as more sustainable. The goal is for 100% to be made of more sustainable materials by 2025.

We offer you

As Data Scientist/Data Engineer, we offer you the role to develop data driven solutions to difficult business challenges across a range of business domains using machine learning techniques and understand how to convert theory and models into company operations. You work close with business stakeholders, BI & Analytics Team, data analysts in gathering requirements, and use different kinds of technology to enable data preparation, data mining, data visualization. We work globally and across all functional areas.

You will also work with data modelling, ETL (Extract Transform Load) processes, data engineering, data warehousing, and data analytics.

The position is a permanent employment with placement at our head office in Mölndal. Kappahl wants to be a place to belong, therefore we work with a hybrid working environment. This means you can work remotely when it is more suitable for your work schedule.

Your profile

We are looking for you, who embody our values, are self-motivated, aren´t afraid to challenge, innovate, experiment, and move at a fast pace.

You have a higher education in a relevant field and a background in data and analytics, experience in working with programming/querying languages such as SQL, Python or R. Experience in working with AI models and working with data visualization tools e.g Power BI, Tableau, Qlik. You have previous experience in Microsofts Azure Analytics functions and in building ETL/ELT processes, together with scaling and optimization of cloud-based data processing based on data lake and/or data warehouse.

As a person, you are structured and solution oriented. You like to be creative and find new ways as a proactive problem solver, but also to get immersed in a challenging problem. You are expected to work independently in a team-based organization, you are communicative, and service minded. You are a structured team player and can communicate freely in Swedish and English, both spoken and written.

You recognize yourself in our values – Inclusive, Courageous and Joyful!

Are you interested?

Kappahl celebrate diversity and strive to eliminate all forms of discrimination. We are committed to creating an inclusive environment for all employees and candidates.

You apply easily by attaching your CV (please refrain from sending us your personal letter). We apply continuous selection. We look forward to your application as soon as possible, but no later than the 30 November.

If you have protected identity contact [email protected], and you will get help with submitting your application.

Contact information.

If you have questions about the position or the recruitment process, you are most welcome to contact Helena Karlsson, Application Lead BI, [email protected] or Henrik Elf, IT Manager, [email protected].









Key Skills

Ranked by relevance

etl ai sql cloud python tableau
Login to Apply
Posted
Oct 15, 2024
Type
Full-time
Level
Entry
Location
Mölndal

Industries

Retail

Categories

Engineering Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
EXPRESS
Related

DevOps Engineer

2026-06-18

Full-time
Not Applicable
United States
Retail
Project Management
View Job Details
CHANEL
Related

Data Science and AI Engineer, SEAA

2026-06-16

Full-time
Not Applicable
Singapore
Retail
Engineering
View Job Details
Axfood
Related

Data Scientist till Axfood AB

2026-06-17

Full-time
Not Applicable
Sweden
Retail
Engineering