We are looking for a Data and Knowledge Engineer who will be a part of the Growth Acceleration Team in the Growth & Marketing division at Graphwise. The Growth Acceleration Team builds demonstrators on top of the Graphwise Platform capabilities, develops prototypes to explore experimental capabilities and supports partner development via pilot projects.
About the Role:
You will build and maintain demos and prototypes in collaboration with internal teams and external partners. The role calls for someone curious, self-motivated, and hands-on – someone who enjoys exploring the cutting edge of AI. In your daily work, you will work alongside a very experienced data engineer and you will report to a senior manager. Outside this setup, you will be encouraged to collaborate with other teams in the organization and to share knowledge. Strong communication skills are essential, as you’ll regularly engage with both technical and non-technical stakeholders, including business-oriented partners.
Your Main Responsibilities:
- Develop intimate knowledge of the Graphwise Platform components and capabilities.
- Responsible for graph building and consumption tasks, including, but not limited to manual modelling and design and development of automated graph manipulation pipelines.
- Do some code development when required for the tasks centered around the Graph processing. All this in the context of the development and maintenance of demos and prototypes.
- Interact and communicate effectively with internal and external stakeholders to ensure the successful execution of the responsibilities.
Job Requirements:
- At least 3 years of industry experience with responsibilities in at least one of the following areas: data engineering, knowledge engineering, technical consulting.
- Know-how and experience with data modelling and data engineering for heterogeneous sources, including APIs, document repositories, structured data, and unstructured content.
- Experience designing and maintaining data processing and orchestration pipelines, with technologies such as Databricks, Snowflake, Airflow, Talend, Kafka… or related. Experience with n8n is a plus.
- Proficiency in Python scripting language, and experience with REST APIs and version control systems.
- Experience with devops related tasks, including technologies such as Docker, Linux, Jenkins and K8S, is highly desirable.
- Technical background around software development, databases, software and system architecture.
- Experience using NLP, machine learning or similar to analyze, classify, and extract data from documents.
- Experience in solution development with the Semantic Web technology stack (RDF, SPARQL, OWL, linked data etc.) would be highly desirable. In particular, experience working with RDF-based graph databases, especially GraphDB, will be considered a plus.
- Knowledge and experience in requirements engineering, ability to translate business problems into technical requirements.
- Experience with modern AI technologies, in particular LLMs, RAG techniques and Agentic AI.
General skills:
- Proactivity and strong initiative, ability to work independently and unsupervised.
- An inquiring mind, intense curiosity, interdisciplinary awareness as well as a strong desire to innovate in/contribute to the areas of Agentic AI and Knowledge Graph Systems.
- Strong communication skills and the ability to communicate with stakeholders at various technical levels, including non-technical people.
- Excellent skills in both written and spoken English.
- Ability to effectively and simultaneously manage work from multiple projects.
- Good time management skills and ability to prioritize tasks.
What We Offer:
- A Career development path, through training, hands-on experience, time for innovation, and many more
- A friendly and professional international team and working environment in a rapidly expanding tech and AI company
- Exposure to the newest technologies in AI and knowledge graphs space
- A workplace in an organization that is committed to sustainability and responsible business practices
- Flexible working hours and benefits that reflect our belief that a healthy work-life balance is a key driver of efficiency
- Invitation to company-sponsored social activities and additional team building activities throughout the year
- A good work-life balance with the possibility to work from home up to 3 days per week and flexible working hours
- And of course we offer free tea, coffee, fruit and snacks
We would love to have you on our team!
Graphwise welcomes applicants of all backgrounds regardless of race, ethnicity, sexual orientation, gender expression, age, disability, and other statuses. Our company culture as well as policies enforced by our active DEI Group work towards ensuring an inclusive workplace.