{"id":958750,"url":"https://alion.io/job/mindbox-database-engineer-knowledge-graph-platform","title":"Database Engineer — Knowledge Graph Platform","company":{"id":53456,"name":"Mindbox","domain":"mindboxgroup.com","url":"https://alion.io/company/mindbox","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":{"grade":"A","score":87,"open_postings":66,"ghost_share":0,"stale_share":0.515,"repost_share":0.03,"time_to_fill_p50_days":53,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":87000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Neptune","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"GitOps","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"GraphDB","optional":false},{"name":"GraphRAG","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Neo4j","optional":false},{"name":"Node JS","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scala","optional":false},{"name":"Terraform","optional":false},{"name":"FinOps","optional":true},{"name":"Grafana","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-09-16T07:56:34Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-11-01T05:39:46Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"At Mindboxwe connect top IT talents with technology projects for leading enterprises across Europe.\nWe are seeking a Database Engineer to design, build, and scale Knowledge Graph capabilities across the enterprise environment, driving integrated graph solutions and AI-enabled use cases. This role combines deep graph database expertise, cloud platform engineering on GCP, and LLM integration for advanced retrieval patterns such as RAG and GraphRAG.\nIf you have strong technical skills across LPG and RDF ecosystems, production-grade delivery experience, and passion for graph-powered AI workflows, this position is for you.\nSounds like your kind of challenge?\nResponsibilities\nFlexible cooperation model \nHybrid work setup - 8 times per month from the office\nCollaborative team culture - work alongside experienced professionals eager to share knowledge \nContinuous development - access to training platforms and growth opportunities \nComprehensive benefits - including Interpolska Health Care, Multisport card, Warta Insurance, and more \nHigh quality equipment - laptop and essential software provided \nRequirements\nOwn the end-to-end graph platform lifecycle: architecture, deployment, reliability, and continuous evolution.\nDesign graph schemas and ontologies across LPG and RDF paradigms, ensuring standards-based governance and version control.\nBuild and operate scalable data ingestion pipelines (batch and streaming) with data quality and lineage frameworks.\nImplement robust observability and reliability practices aligned with SRE principles on GCP (monitoring, alerting, HA).\nDefine engineering guardrails for performance tuning, query optimization, and cost-efficient scaling.\nCollaborate with product, data, and security stakeholders to deliver reusable platform services for internal teams.\nActivate AI-driven reasoning and retrieval scenarios leveraging LLMs, embeddings, vector databases, and hybrid GraphRAG workflows.\nNote:Detailed project information will be shared during the recruitment process.\nBenefits\n3+ years in data/database engineering, including graph platform implementation.\nExperienced in both major graph ecosystems:LPG stack: Cypher/Gremlin; platforms like Neo4j, FalkorDB, JanusGraph.\nRDF stack: SPARQL; platforms like GraphDB, Stardog, Blazegraph, Neptune RDF.\n\nProficiency in graph standards (RDF, RDFS, OWL, SHACL) and ontology governance/versioning best practices.\nHands-on delivery experience on Google Cloud Platform (GCP) including GKE, Cloud Run, Pub/Sub, Dataflow, BigQuery, IAM, dashboards/monitoring.\nPractical LLM integration exposure (embeddings, vector/hybrid retrieval, GraphRAG workflows).\nStrong foundations in Python and/or Java/Scala/Node.js, API integration, CI/CD pipelines, and Infrastructure-as-Code (Terraform, GitOps).\nProven track record in leading engineering efforts and delivering iterative platform roadmaps.\nClear communication across technical and non-technical stakeholders, ability to translate business objectives into platform capabilities.\nCommitment to engineering excellence, proactive incident management, and continuous improvement culture.\nNice to have:\nMulti-tenant architecture and platform productization experience.\nKnowledge of responsible AI practices, model guardrails, and evaluation frameworks.\nExperience with Kubernetes operators and advanced observability stacks (Prometheus, Grafana, OpenTelemetry).\nFamiliarity with FinOps strategies for high-memory graph workloads.\nJoining this project you’llbecome part of Mindbox - a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. 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