ABOUT THE POSITION AND THE COMPANY
With a wide range of products for the entire family Biltema is a strong brand with more than 160 stores across the Nordic region and plans for further expansion. The success and vision are based on a simple concept that has been refined over the years; To make it economically easier for people to have cars boats homes tools and leisure articles of high quality thereby creating a richer leisure time for these people. They choose their own path and have therefore decided to invest in their own operations and development of systems and technical solutions among other things. Biltema Nordic Services is a service company within Biltema with various departments that together deliver a complete solution for the department stores assortment and operations. The IT department in Helsingborg provides systems and digital solutions in collaboration with Biltemas other companies within the group for our Nordic markets.
You will be part of a large team of colleagues who together with the entire IT department develop manage and support both proprietary products and systems as well as well-known systems from market-leading suppliers. Together with your colleagues the mission is to develop integrate and automate Biltemas over 150 digital platforms and systems.
YOU ARE OFFERED
- To work for a company with healthy values and play an important role in the future development of Biltemas systems.
- Work in an organization with clear leadership and a clear and long-term vision.
- The opportunity to work at a well-managed and very prosperous company that values entrepreneurship and simplicity.
WORK TASKS & RESPONSIBILITIES
- Design implement and manage scalable data pipelines ETL processes and data architectures (databases warehouses and lakes).
- Collect clean and validate data from multiple sources to ensure quality integrity and security throughout the lifecycle.
- Analyse datasets to identify patterns trends and correlations delivering actionable insights to stakeholders.
- Collaborate closely with business stakeholders IT and cross-functional teams to translate data requirements into practical solutions.
- Monitor and optimise workflows for performance reliability and cost efficiency.
- Implement best practices for data governance compliance and security.
- Develop and maintain automation scripts and tools for provisioning configuration and data processing.
- Document processes methodologies and best practices for knowledge sharing and operational consistency.
- Stay updated on emerging technologies and provide recommendations for innovation and continuous improvement.
EXPERIENCE
- A bachelors or masters degree in Computer Science Data Science Engineering Mathematics or a related field or equivalent work experience.
- 35 years of experience in data engineering data analysis or a similar role in an agile environment.
- Strong skills in programming languages such as Python SQL R or Scala.
- Experience with relational and NoSQL databases (e.g. SQL Server PostgreSQL MongoDB).
- Familiarity with cloud platforms (especially Microsoft Azure) and their data services.
- Proficiency with data visualisation tools (e.g. Power BI Tableau) and workflow management tools.
- Understanding of data modelling warehousing ETL concepts and real-time data processing.
- Knowledge of data governance privacy and security best practices.
- Strong analytical problem-solving and decision-making skills with attention to detail.
- Excellent communication collaboration and stakeholder management abilities.
- Creative customer-oriented mindset with the ability to translate complex data into business value.
ADDITIONAL INFORMATION
Start: By agreement
Working hours: Standard office hours with the possibility for hybrid work.
Location: Helsingborg
Type of employment: This assignment is a recruitment and the employment will be directly with our client. Salary terms and conditions are discussed separately.
The recruitment process is managed by A-hub. Therefore Biltema Nordic Services requests that all inquiries regarding the position be directed to A-Hub.