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Database Engineer - Graph Platform
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Offer summary

(Summary generated by AI based on the full job description)

The project focuses on building and scaling a Knowledge Graph and AI‑enabled workflows including GraphRAG. Core technologies include LPG: Cypher/Gremlin with platforms like Neo4j, JanusGraph, RDF: SPARQL with platforms like Stardog, Blazegraph, and GCP (GKE, Cloud Run, Pub/Sub, Dataflow, BigQuery). Responsibilities cover designing schemas and ontologies, building batch and streaming ingestion pipelines with data quality and lineage, implementing observability and SRE practices, performance and cost tuning, integrating LLMs/embeddings for hybrid retrieval, and collaborating with stakeholders to evolve the graph platform.

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Database Engineer - Graph Platform

Company: Mindbox Sp. z o.o.

from: 16 September 2026
to: 16 October 2026
28 000 - 33 000 złnet (+ VAT)/ mth.B2B contract (full-time)
Offer parameters
level:mid
working mode:hybrid
location:Kraków, Lesser Poland
Kraków, Lesser Poland

Requirements

Expected technologies

Cypher
Gremlin
Neo4j
FalkorDB
JanusGraph
SPARQL
GraphDB
Stardog
Blazegraph
Neptune RDF
Google Cloud Platform
Terraform
GitOps

Our requirements

  • 3+ years in data/database engineering, including graph platform implementation.
  • Experienced in both major graph ecosystems:
  • LPG stack: Cypher/Gremlin; platforms like Neo4j, FalkorDB, JanusGraph.
  • RDF stack: SPARQL; platforms like GraphDB, Stardog, Blazegraph, Neptune RDF.
  • Proficiency in graph standards (RDF, RDFS, OWL, SHACL) and ontology governance/versioning best practices.
  • Hands-on delivery experience on Google Cloud Platform (GCP) including GKE, Cloud Run, Pub/Sub, Dataflow, BigQuery, IAM, dashboards/monitoring.
  • Practical LLM integration exposure (embeddings, vector/hybrid retrieval, GraphRAG workflows).
  • Strong foundations in Python and/or Java/Scala/Node.js, API integration, CI/CD pipelines, and Infrastructure-as-Code (Terraform, GitOps).
  • Proven track record in leading engineering efforts and delivering iterative platform roadmaps.
  • Clear communication across technical and non-technical stakeholders, ability to translate business objectives into platform capabilities.
  • Commitment to engineering excellence, proactive incident management, and continuous improvement culture.

Optional

  • Multi-tenant architecture and platform productization experience.
  • Knowledge of responsible AI practices, model guardrails, and evaluation frameworks.
  • Experience with Kubernetes operators and advanced observability stacks (Prometheus, Grafana, OpenTelemetry).
  • Familiarity with FinOps strategies for high-memory graph workloads.

Your responsibilities

  • Own the end-to-end graph platform lifecycle: architecture, deployment, reliability, and continuous evolution.
  • Design graph schemas and ontologies across LPG and RDF paradigms, ensuring standards-based governance and version control.
  • Build and operate scalable data ingestion pipelines (batch and streaming) with data quality and lineage frameworks.
  • Implement robust observability and reliability practices aligned with SRE principles on GCP (monitoring, alerting, HA).
  • Define engineering guardrails for performance tuning, query optimization, and cost-efficient scaling.
  • Collaborate with product, data, and security stakeholders to deliver reusable platform services for internal teams.
  • Activate AI-driven reasoning and retrieval scenarios leveraging LLMs, embeddings, vector databases, and hybrid GraphRAG workflows.
  • Note: Detailed project information will be shared during the recruitment process.

About the project

We 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.
If 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.
Sounds like your kind of challenge?

This is how we work on a project

  • Continuous Deployment
  • Continuous Integration
  • DevOps
  • documentation
  • issue tracking tools
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
Company

What we offer

  • Flexible cooperation model
  • Hybrid work setup – 8 times per month from the office
  • Collaborative team culture – work alongside experienced professionals eager to share knowledge
  • Continuous development – access to training platforms and growth opportunities
  • Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
  • High quality equipment – laptop and essential software provided

Benefits

  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of professional training & courses
  • life insurance

Mindbox Sp. z o.o.

At Mindbox, we connect top IT talents with technology projects for leading enterprises across Europe.
Our focus is on matching your skills with work that matters – projects that use modern tech stacks, solve real business challenges, and give you space to grow. By joining us, you’ll deliver technology solutions for well-known brands, supported by the Mindbox team that values knowledge-sharing and continuous development. We make sure you have the tools, flexibility, and guidance to do your best work – and to keep moving forward in your career.
Database Engineer - Graph Platform
28k–33k zł / mth. (B2B)
I apply to:
Mindbox Sp. z o.o.
Kraków, Lesser Poland
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