Data Scientist/Data Engineer

at  Kappahl

APPLICATION DEADLINE: NOV. 30, 2024 MÖLNDAL HYBRID

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 hr@kappahl.com, 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, Helena.karlsson@kappahl.com or Henrik Elf, IT Manager, Henrik.elf@kappahl.com.
You manage your own day-to-day work
We share values
We contribute through our differences
You can be yourself
We inspire each other to live sustainably
Your health and well-being are important
Kappahl - a place to belong
We believe in life-long learning
We believe in a feedback culture
You can trust us!

Please refer the Job description for details