Home › Companies › Graphwise › Data Engineer in AI
Data Engineer in AI
Graphwise · Sofia, Sofia, 1784, Bulgaria · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Graphwise |
| Title | Data Engineer in AI |
| Normalized title | - |
| Department / team | Growth Acceleration |
| Location | Sofia, Sofia |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-04-17 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Graphwise. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Sofia. | Open |
| Department jobs | Active postings in Growth Acceleration. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Graphwise |
| Source | 8e1e3678-783c-4d3a-8970-f2ff004d3fd5 |
| ATS provider | BambooHR |
Description
Data Engineer in AI - Sofia-based
About the job
At Graphwise, we help enterprises transform fragmented data into connected, intelligent systems using Knowledge Graphs, semantic technologies, and modern AI architectures.
The Growth Acceleration Team within our Growth & Marketing division builds demos, prototypes, and pilot solutions on top of the Graphwise Platform. The team explores emerging AI capabilities, validates ideas through hands-on experimentation, and supports partner development initiatives.
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.
Main Responsibilities
Build and maintain AI-focused demos, prototypes, and pilot projects
Design and maintain data pipelines for structured and unstructured data
Integrate and process data from APIs, enterprise systems, document repositories, and heterogeneous data sources
Work on data modeling, transformation pipelines, orchestration, and retrieval
Contribute to AI-oriented solutions involving LLMs, RAG techniques, and modern AI tooling
Develop Python-based tooling, scripts, and supporting backend components when needed
Collaborate with internal teams and external partners to turn ideas and business requirements into practical technical solutions
Explore and adopt modern AI, data engineering, and orchestration technologies
Must-haves
Strong software engineering and problem-solving fundamentals
Еxperience in Data Engineering/AI Engineering, or related technical roles
Professional experience with Python
Experience building or maintaining backend systems, data pipelines, or integrations
Experience working with APIs and heterogeneous data sources
Understanding of data modeling and ETL/data processing workflows
Familiarity with modern AI concepts such as LLMs, RAG techniques, embeddings, vector databases, AI agents, or NLP workflows
Experience with workflow automation tools
Experience with Git/version control systems and collaborative engineering practices
Strong communication skills in English
Curiosity, proactivity, and willingness to learn new technologies and domains
Nice-to-haves
Experience with graph databases or connected data systems
Familiarity with semantic technologies such as RDF, SPARQL, OWL, or SHACL
Familiarity with orchestration and data processing technologies such as Airflow, Kafka, Databricks, Snowflake, Talend, or similar tools
Experience with experimental AI systems, prototypes, or proof-of-concept development
Experience in technical consulting or customer-facing technical environments
Exposure to GraphRAG implementations or retrieval-oriented architectures
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.
Full job record
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| Board ID | 8e1e3678-783c-4d3a-8970-f2ff004d3fd5 |
| Provider | bamboohr |
| Provider Job Key | 108 |
| Title | Data Engineer in AI |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Sofia, Sofia, 1784, Bulgaria |
| Department | Growth Acceleration |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | Sofia |
| City | Sofia |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://graphwise.bamboohr.com/careers/108 |
| Apply URL | https://graphwise.bamboohr.com/careers/108 |
| First Seen At | 2026-05-30 05:57:16Z |
| Last Seen At | 2026-06-06 09:46:36Z |
| Last Checked At | 2026-06-06 09:46:36Z |
| Last Changed At | 2026-05-30 05:57:16Z |
| Inactive At | — |
| Source Posted At | 2026-04-17 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=graphwise/date=2026-06-06/2026-06-06T09-46-34-064Z-2e91e0966b83e5808f2baf32f723a79e45126e837afc8a1e324c31b7eabbbf1f.json |
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The team explores emerging AI capabilities, validates ideas through hands-on experimentation, and supports partner development initiatives.<br><br></span></p>\n<p><span style=\"font-size: 18pt; font-weight: bold\">About the role</span></p>\n<p><span style=\"font-size: 10pt\">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.<br><br></span></p>\n<p><span style=\"font-size: 18pt; font-weight: bold\">Main Responsibilities</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Build and maintain AI-focused demos, prototypes, and pilot projects</span></li>\n<li><span style=\"font-size: 10pt\">Design and maintain data pipelines for structured and unstructured data</span></li>\n<li><span style=\"font-size: 10pt\">Integrate and process data from APIs, enterprise systems, document repositories, and heterogeneous data sources</span></li>\n<li><span style=\"font-size: 10pt\">Work on data modeling, transformation pipelines, orchestration, and retrieval</span></li>\n<li><span style=\"font-size: 10pt\">Contribute to AI-oriented solutions involving LLMs, RAG techniques, and modern AI tooling</span></li>\n<li><span style=\"font-size: 10pt\">Develop Python-based tooling, scripts, and supporting backend components when needed</span></li>\n<li><span style=\"font-size: 10pt\">Collaborate with internal teams and external partners to turn ideas and business requirements into practical technical solutions</span></li>\n<li><span style=\"font-size: 10pt\">Explore and adopt modern AI, data engineering, and orchestration technologies<br><br></span></li>\n</ul>\n<p><span style=\"font-size: 18pt; font-weight: bold\">Must-haves<br></span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Strong software engineering and problem-solving fundamentals</span></li>\n<li><span style=\"font-size: 10pt\">Еxperience in Data Engineering/AI Engineering, or related technical roles</span></li>\n<li><span style=\"font-size: 10pt\">Professional experience with Python</span></li>\n<li><span style=\"font-size: 10pt\">Experience building or maintaining backend systems, data pipelines, or integrations</span></li>\n<li><span style=\"font-size: 10pt\">Experience working with APIs and heterogeneous data sources</span></li>\n<li><span style=\"font-size: 10pt\">Understanding of data modeling and ETL/data processing workflows</span></li>\n<li><span style=\"font-size: 10pt\">Familiarity with modern AI concepts such as LLMs, RAG techniques, embeddings, vector databases, AI agents, or NLP workflows</span></li>\n<li><span style=\"font-size: 10pt\">Experience with workflow automation tools</span></li>\n<li><span style=\"font-size: 10pt\">Experience with Git/version control systems and collaborative engineering practices</span></li>\n<li><span style=\"font-size: 10pt\">Strong communication skills in English</span></li>\n<li><span style=\"font-size: 10pt\">Curiosity, proactivity, and willingness to learn new technologies and domains<br><br></span></li>\n</ul>\n<p><span style=\"font-size: 18pt; 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font-family: Arial, sans-serif; font-size: 10pt\">A Career development path, through training, hands-on experience, time for innovation, and many more</span></li>\n<li><span style=\"color: rgb(87, 86, 86); font-family: Arial, sans-serif; font-size: 10pt\">A friendly and professional international team and working environment in a rapidly expanding tech and AI company</span></li>\n<li><span style=\"color: rgb(87, 86, 86); font-family: Arial, sans-serif; font-size: 10pt\">Exposure to the newest technologies in AI and knowledge graphs space</span></li>\n<li><span style=\"color: rgb(87, 86, 86); font-family: Arial, sans-serif; font-size: 10pt\">A workplace in an organization that is committed to sustainability and responsible business practices</span></li>\n<li><span style=\"color: rgb(87, 86, 86); font-family: Arial, sans-serif; font-size: 10pt\">Flexible working hours and benefits that reflect our belief that a healthy work-life balance is a key driver of efficiency</span></li>\n<li><span style=\"color: rgb(87, 86, 86); 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