drjobs Knowledge Engineer - Retail Concept

Knowledge Engineer - Retail Concept

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1 Vacancy
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Job Location drjobs

Malmö - Sweden

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

About us

We are on the journey to consolidate the digital capabilities and business processes at Retail Concept across the leadership areas IKEA Retail Experience Brand & Marketing Learning and Development and Expansion. A journey that needs passionate people who embrace change and development dare to question and want to make a difference. If that sounds like you come and join us. Together we can do great things so IKEA can be an even better home furnishing retailer in the future.

The main responsibility areas in the Retail Concept Operations (RCO) following the new Inter IKEA operating model are

Retail processes EndtoEnd

Digital capability areas

and channels

ROSS

In short the responsibility areas are described below

Retail processes EndtoEnd: The retail process is to describe how IKEA work with retail throughout that value chain. It start with our identity the range. How the we manufacture and supply the range to the franchisees and then how to communicate sell and customer fulfillment. The process indirectly defines the capabilities IKEA need and at least half of the process and capabilities is defined and managed by the franchisees.

Digital capability areas: It is the different capabilities the support retail concept and consist of both subject matter experts process people but also the digital tools as needed. Tools as currently provided are for example IKEA Digital Design System Skapa IKEA Knowledge graph Visa Retail Guidance Range Selection Tool etc..

and channels: Is the external brand building top domain of IKEA online. It is not the sales channel that sit on the franchisee side but the rather the part that explain for the customer audience of who we are.

Retail Operation Solution and Support (ROSS): It is the combined upper funnel of retail websites as mainly contracted by IKEA IT AB but also the lower funnel of customer checkout payment order orchestration fulfillment finance customer support and supply. This is a combination of capabilities from Supply and the Microsoft 365 Dynamics Enterprise resource planning (ERP) platform provided as a service to most of the non INGKA franchisees.

The job as Knowledge engineer is an software engineering assignment in the context of semantic technologies for Retail Concept ontology domain fitting our part of the reality into the IKEA context.

About you

You believe that creating great digital products means that they are fit for purpose and software engineering is a mean for supporting the business. You have extensive experience in software engineering where you have worked handson with semantic technologies for at least 3 years. You are also used to work together with

architecture and other engineers and you are curios to learn new things. As knowledge engineer and as part of the IKEA knowledge graph context you must have a big interest of have to digitalize knowledge that normally sit in people heads into scalable knowledge that can be used by machines. You are also used to work in agile teams with high autonomy.

In addition we believe that you: 

Minimum 7 years of software development experience

Minimum 3 years of handson working with semantic technologies

Experience with RDFS OWL SHACL and SKOS for ontology modeling validation and controlled vocabularies in semantic systems.

Proficient in using RDF modeling tools (we use Metaphactory) for knowledge graph development and management.

Experience in customizing modeling tools to meet specific business needs including adding new functionalities and integrations

Handson experience with graph databases (we use RDF Fox)

Understanding of graphbased data models and their application in semantic systems.

Strong knowledge regarding querying reasoning over rulebased data and optimizing queries for faster processing and efficient data retrieval (we use Datalog)

Deep understanding of SPARQL the query language for RDF data with the ability to craft complex queries to extract and manipulate data from RDFbased knowledge graphs.

Ensure high performance and scalability of knowledge graph systems through optimization techniques

Experience in agile and domaindriven product development

As a knowledge engineer you will

Be the bridge from the more abstract IKEA ontology model into the runtime data graph by continuously improve and optimize it

Work together with ontology modelers data engineers business SMEs regarding making sure that reasoning ruleengine inferencing logic data pipelines optimize the data graph for our consumers.

Work together with the central IKEA Knowledge graph team and the other Inter IKEA domains (such as Range and Supply)

Work together in a highly crossfunctional agile teams following regular scrum ceremonies

Ensure modularize scale integration while meeting resiliency performance reusability along with business and architecture goals

Contribute to adoption of design patterns efficient usage of crosscutting technology platforms and solutions to reuse across product teams in the domain to enable efficiency and avoid unnecessary duplications.

Contribute to the exploration and further development of new technologies to improve system performance and reliability and position stack evolution in the architecture strategic roadmaps.

Create detailed technical documentation for knowledge graph solutions and customizations.

Work closely with stakeholders to align technical implementations with business goals.

Follow existing engineering practices and implement those.


Additional Information :

This position is fulltime (40 hours per week) and is located in Malm Sweden. Some travel will be required.

Please send your application CV in English latest 19th of May 2025. We really want to get to know you so make sure you tell us why you want to work at IKEA and why you would be a good fit for this role.

In this role you will be reporting to the Software Engineering Manager.


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

Company Industry

About Company

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