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HomeCompaniesGraphwiseData Engineer in AI

Data Engineer in AI

Graphwise · Sofia, Sofia, 1784, Bulgaria · Active · BambooHR

Job facts

FieldValue
CompanyGraphwise
TitleData Engineer in AI
Normalized title-
Department / teamGrowth Acceleration
LocationSofia, Sofia
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-04-17 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Graphwise.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Sofia.Open
Department jobsActive postings in Growth Acceleration.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyGraphwise
Source8e1e3678-783c-4d3a-8970-f2ff004d3fd5
ATS providerBambooHR

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

Job IDdfeb43a4cedc3116ed212a5af9f5fde02cdc1fe8
Org ID17e2e90a-240a-47ed-a58b-45c60bc8905e
Source ID8e1e3678-783c-4d3a-8970-f2ff004d3fd5
Board ID8e1e3678-783c-4d3a-8970-f2ff004d3fd5
Providerbamboohr
Provider Job Key108
TitleData Engineer in AI
Normalized Title
Statusactive
Activeyes
Location TextSofia, Sofia, 1784, Bulgaria
DepartmentGrowth Acceleration
Team
Employment Typefull_time
Workplace Type
Remote Policy
Country
RegionSofia
CitySofia
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://graphwise.bamboohr.com/careers/108
Apply URLhttps://graphwise.bamboohr.com/careers/108
First Seen At2026-05-30 05:57:16Z
Last Seen At2026-06-06 09:46:36Z
Last Checked At2026-06-06 09:46:36Z
Last Changed At2026-05-30 05:57:16Z
Inactive At
Source Posted At2026-04-17 00:00:00Z
Source Updated At
Raw Payload Uris3://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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    "description": "<p><span style=\"font-family: Arial, sans-serif; font-size: 18pt; font-weight: bold\">Data Engineer in AI - Sofia-based<br><br></span></p>\n<p><span style=\"font-size: 18pt; font-weight: bold\">About the job<br></span></p>\n<p><span style=\"font-size: 10pt\">At Graphwise, we help enterprises transform fragmented data into connected, intelligent systems using Knowledge Graphs, semantic technologies, and modern AI architectures.</span></p>\n<p><span style=\"font-size: 10pt\">The Growth Acceleration Team within our Growth &amp; 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.<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; font-weight: bold\">Nice-to-haves</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Experience with graph databases or connected data systems</span></li>\n<li><span style=\"font-size: 10pt\">Familiarity with semantic technologies such as RDF, SPARQL, OWL, or SHACL</span></li>\n<li><span style=\"font-size: 10pt\">Familiarity with orchestration and data processing technologies such as Airflow, Kafka, Databricks, Snowflake, Talend, or similar tools</span></li>\n<li><span style=\"font-size: 10pt\">Experience with experimental AI systems, prototypes, or proof-of-concept development</span></li>\n<li><span style=\"font-size: 10pt\">Experience in technical consulting or customer-facing technical environments</span></li>\n<li><span style=\"font-size: 10pt\">Exposure to GraphRAG implementations or retrieval-oriented architectures</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Arial,sans-serif; font-size: 12pt; font-weight: bold\">What We Offer</span></p>\n<ul>\n<li><span style=\"color: rgb(87, 86, 86); 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); font-family: Arial, sans-serif; font-size: 10pt\">Invitation to company-sponsored social activities and additional team building activities throughout the year</span></li>\n<li><span style=\"color: rgb(87, 86, 86); font-family: Arial, sans-serif; font-size: 10pt\">A good work-life balance with the possibility to work from home up to 3 days per week and flexible working hours</span></li>\n<li><span style=\"color: rgb(87, 86, 86); font-family: Arial, sans-serif; font-size: 10pt\">And of course we offer free tea, coffee, fruit and snacks</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: #353535; font-family: Arial,sans-serif; font-size: 12pt; font-weight: bold\">We would love to have you on our team!</span></p>\n<p><span style=\"color: rgb(87, 86, 86); font-family: Arial, sans-serif; font-size: 10pt\">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.</span></p>",
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