Senior Data Engineer

JYSK; Denmark; Hybrid; DKK 900,000 - 1,200,000; Full time

Benefits offered by this job

Flexible work-from-home policy

Training and onboarding program

Staff discounts across Lars Larsen

Job summary

JYSK is seeking a Senior Data Engineer to join our AI Engineering team and help shape data foundations for scalable AI solutions in an international retail environment. You will design, build, and maintain data pipelines, data products, and analytics capabilities that power customer experiences, sales insights, and operational efficiency.

Working with AI Architects and Platform Engineers, you will ensure data quality, governance, and secure, compliant data practices on Google Cloud Platform

Qualifications

• Degree in Computer Science, Software Engineering, Mathematics, Physics, or related field.
• 5+ years of industry experience in data engineering.
• Experience with DataOps and dbt/Dataform.
• Production-scale data solutions on cloud platforms (GCP/AWS/Azure).
• Independent with stakeholders and MVP-minded.

Responsibilities

• Design, build, deploy, and maintain scalable data products and pipelines.
• Create scalable data transformations and integrate with existing systems.
• Process structured, semi-structured, and unstructured data for AI workloads.
• Implement data quality monitoring, validation, and alerting.

Skills

Data pipelines

GCP

DataOps

Python

MLOps

Data governance

Education

Bachelor's degree in CS/SE/Math/Physics

Tools

dbt

Dataform

Airflow

BigQuery

Job description

Are you passionate about data and AI? Do you have extensive experience in data engineering and want to help shape the future of a fast-growing, international retail company? Then this could be your next career opportunity!

At JYSK, we recognize the importance of data and AI in maintaining our position as a leading retailer. We see a huge potential in leveraging technology to enhance customer experiences, increase sales, and boost profitability - ultimately making life better for our customers and employees.

We are looking for a talented and experienced Senior Data Engineer to join our AI Engineering team. You will become part of a passionate team of specialists working at the forefront of data and AI, building the data foundations and scalable solutions that enable us to turn business opportunities into tangible AI solutions.

If you’re excited about driving innovation and creating real business impact through data and AI in an international retail environment, we want to hear from you!

WHAT WE OFFER YOU

You’ll have the opportunity to shape the future of data at JYSK and play a key role in accelerating AI adoption across the organization. As part of our high-performing, agile AI Engineering team, you’ll have significant influence on technology choices, architectural decisions, and data engineering best practices. You’ll also take ownership of building and maintaining the scalable, reliable data infrastructure that powers our AI initiatives and enables new business opportunities.

If you’re passionate about technical innovation, enjoy solving complex business challenges through data, and want to make a tangible impact in an international retail organization, we’d love to hear from you!

Furthermore, we offer you:

A dynamic workplace in an international company focused on growth, innovation, and continuous development.

A collaborative, open-minded environment with opportunities to engage across all organisational levels.

A flexible work-from-home policy that supports a healthy work-life balance.

Attractive employee benefits, including staff discounts across the Lars Larsen Group and a variety of social events throughout the year.

Access to internal training, courses, and learning opportunities to support your personal and professional growth.

A welcoming and supportive culture, complemented by a comprehensive onboarding programme to help you succeed from day one.

A low-politics, low-ego culture where collaboration, ownership, and high standards are valued.

WHAT YOUR NEXT JOB WILL BE ABOUT

As a Senior Data Engineer, you will play a key role in building data solutions that drive innovation, enable data-driven decision-making, optimize business operations, and enhance customer experiences. Leveraging your strong software engineering background, you will design, build, and optimize complex, scalable data products that provide the foundation for integrated AI solutions and deliver tangible business value.

Your tasks and responsibilities in the job include:

• Design, implement, deploy, and maintain scalable data products across the entire data lifecycle, from data ingestion and transformation to analytics, visualization, and dashboarding.
• Design and implement scalable data transformations that integrate seamlessly with existing systems and applications.
• Build data products capable of processing structured, semi-structured, and unstructured data to support diverse AI workloads.
• Design and implement automated data quality monitoring, validation, and alerting to ensure trusted data products.
• Promote and drive adoption of modern data engineering technologies and automation frameworks.
• Help ensure data governance, quality, security, privacy, and compliance across AI-related data products.
• Maintain metadata, lineage, and documentation to improve data discoverability and governance.
• Collaborate closely with AI Solution Architect, AI Platform Engineers and AI Engineers to develop and enhance the data components of our MLOps and AI platform.
• Managing and optimizing data solutions on Google Cloud Platform (GCP) to ensure scalability, reliability, performance, and efficient resource utilization.
• Working with architects to refine data solution design and contributing to solution planning phases.
• Supporting end-users of AI solutions with a "you build it, you own it" mindset.

You can read more about our department here .

WHAT SHOULD YOU BRING

We are looking for a new colleague who:

• Holds a degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field.
• Has 5+ years of industry experience in data engineering, with a strong track record in designing, developing, and maintaining scalable data pipelines and robust data architectures.
• Extensive experience designing and implementing scalable, reliable, and efficient DataOps solutions, preferably using tools such as dbt or Dataform.
• Has experience developing, deploying, operating, and monitoring data solutions in production at scale, preferably on Google Cloud Platform (or equivalent experience with Azure or AWS and a willingness to work with GCP).
• Works independently on complex technical challenges while collaborating effectively with stakeholders to ensure successful outcomes.
• Embraces an MVP mindset and enjoy rapidly delivering, validating, and iterating on data solutions within an agile team.
• Is proactive, enjoys sharing knowledge and mentoring colleagues, and takes pride in delivering high‑quality, scalable, and maintainable solutions.

If you have any questions regarding the position, please contact Team Leader AI Engineering, Florencio Paucar at [phone].

ABOUT US

We believe that our employees are key to our success going from one store in 1979 to more than 3,400 stores worldwide today. That is why we strive to offer development and possibilities of growing within JYSK, and we also take pride in rewarding engagement and a great effort among our employees. Our three fundamental JYSK Values – Tradesman, Colleague and Corporate Spirit – express the behaviour and attitude that we can expect from each other. We trust each other, and we believe in delegation and freedom with responsibility.

JYSK wants to include everyone, no matter the age, gender identity, race, sexual orientation, physical or mental ability, ethnicity, and experience. Together, we secure our inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. Because a great mix of minds, talents and unique personalities makes us a stronger team.