Data Engineer

Do you have a passion for data, analytics, and AI? Are you an experienced professional in the field of data engineering? Do you want to join a fast-growing international retail company that is transforming its business with data-driven solutions? If so, keep on reading.

At JYSK, we recognize the vital role of AI and Analytics in maintaining our position as a leading retailer. We see a huge potential in leveraging technology to improve customer experiences, boost sales and improve profitability, making everyday life better for our customers and employees.

We are seeking a highly skilled and experienced Data Engineer to join our Advanced Analytics and AI team, a group of six passionate colleagues dedicated to data, analytics, and AI.

WHAT WE OFFER YOU

In this role, you will design, develop, and maintain the data infrastructure required to deliver on AI & Analytics initiatives.

Furthermore, we offer you:

• A relaxed and open-minded atmosphere with rich opportunities to cooperate with colleagues at all levels of the organisation.
• A great opportunity to develop and grow professionally and personally.
• A workplace in an exciting international company where results, expansion and development have a high priority.
• To be part of a dedicated department with a short distance from decision to action
• A healthy work-life balance with the possibility to work from home up to two days a week as well as a loyal company culture.
• Attractive staff benefits and special discounts from companies within Lars Larsen Group.
• Several social activities during the year, including Friday bars, DHL run, Christmas party etc.

WHAT YOUR NEXT JOB WILL BE ABOUT

Your tasks and responsibilities in the job include:

• Design, develop, and maintain data pipelines and architectures for AI and analytics projects.
• Create and maintain automated data ingestion, transformation, and validation.
• Ensure data quality, integrity, and security across all data systems.
• Collaborate with data scientists, analysts, and other stakeholders to understand. data requirements and deliver solutions that meet those needs.
• Implement data management best practices, including data governance and compliance with relevant regulations.
• Monitor and optimize the performance of data systems to ensure efficiency and scalability.
• Support the integration of new data sources and ensure seamless data flow across systems.
• Stay up to date with industry trends and emerging technologies in data engineering and cloud computing.

You can read more about our department at [https://job.jysk.dk/dk/head-office/advanced-analytics>

WHAT SHOULD YOU BRING

• A bachelor's or master’s degree in software engineering, Data Engineering, Robotics, Data Science, or a related field.
• +3 years of experience in data engineering, including designing and maintaining data pipelines and architectures.
• Strong understanding of data management principles and best practices.
• Proficiency in SQL and data processing frameworks.
• Experience with cloud-based data platforms.
• Strong problem-solving skills for complex data challenges.
• Proficiency in spoken and written English.
• Ability to work independently and in a team.
• Excellent communication and collaboration skills.
• Practical experience with ETL tools and data integration technologies.

Experience in data management and governance is an advantage. Knowledge of AI/ML, containerization, and scripting is desirable. Agile, CI/CD, and DevOps experience is a plus.