Senior Data Engineer (Knowledge graph)
ZS Associates · Warsaw +1 · 9mo ago
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
Role Description
A Knowledge Graph Data Engineer is a key member of the team, responsible for designing, building, and maintaining scalable graph-based data solutions that enable structured, connected, and queryable enterprise data. This role works closely with ontologists, data engineers, AI engineers, architects, and client teams to translate semantic models into production-ready knowledge graph implementations that support downstream analytics, intelligent applications, and agentic AI use cases.
This individual will play an important role in building the technical foundation for knowledge graph solutions - including graph data ingestion, transformation, population, querying, integration, and performance optimisation - while applying strong engineering judgment to architecture, tooling, and implementation decisions.
What You’ll Do:
- Design, build, and maintain scalable knowledge graph and graph-based data solutions.
- Translate ontology and semantic models into production-ready graph data pipelines and implementations.
- Develop pipelines to ingest, transform, and populate data into graph platforms (e.g., Neo4j, Stardog, GraphDB).
- Build and optimize graph queries and traversal logic using technologies such as Cypher.
- Ensure data quality, consistency, and performance across graph systems.
- Integrate knowledge graph solutions with cloud and enterprise data ecosystems (e.g., BigQuery).
- Apply strong architecture and design principles, including technology selection and layered system design.
- Collaborate with ontologists, data engineers, and AI teams to enable downstream intelligent applications.
- Write clean, testable, and production-grade code, ensuring adherence to engineering best practices.
- Contribute to solution design, estimation, and client discussions, and mentor junior team members.
- Bachelor’s or higher degree in Computer Science, Data Engineering, AI, or related fields.
- Hands-on experience in data engineering, with exposure to knowledge graph or semantic data systems.
- Experience with graph technologies such as Neo4j, Stardog, GraphDB, and concepts like RDF/OWL.
- Strong understanding of data modelling, system design, and architecture decision-making.
- Experience with graph query languages (e.g., Cypher) and graph-based data processing.
- Proficiency in programming languages such as Python, Java, or Node.js.
- Familiarity with cloud platforms (AWS, GCP, Azure) and modern data ecosystems.
- Ability to design and build scalable data pipelines and integrations.
- Strong problem-solving, communication, and stakeholder collaboration skills.
- Ability to operate in roles requiring ownership, design thinking, and technical judgment.
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How you’ll grow:
- Cross-functional skills development & custom learning pathways
- Milestone training programs aligned to career progression opportunities
- Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in Poland, visit ZS Poland office locations | Where we work | ZS.
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
A Knowledge Graph Data Engineer is a key member of the team, responsible for designing, building, and maintaining scalable graph-based data solutions that enable structured, connected, and queryable enterprise data. This role works closely with ontologists, data engineers, AI engineers, architects, and client teams to translate semantic models into production-ready knowledge graph implementations that support downstream analytics, intelligent applications, and agentic AI use cases.
This individual will play an important role in building the technical foundation for knowledge graph solutions - including graph data ingestion, transformation, population, querying, integration, and performance optimisation - while applying strong engineering judgment to architecture, tooling, and implementation decisions.
What You’ll Do:
- Design, build, and maintain scalable knowledge graph and graph-based data solutions.
- Translate ontology and semantic models into production-ready graph data pipelines and implementations.
- Develop pipelines to ingest, transform, and populate data into graph platforms (e.g., Neo4j, Stardog, GraphDB).
- Build and optimize graph queries and traversal logic using technologies such as Cypher.
- Ensure data quality, consistency, and performance across graph systems.
- Integrate knowledge graph solutions with cloud and enterprise data ecosystems (e.g., BigQuery).
- Apply strong architecture and design principles, including technology selection and layered system design.
- Collaborate with ontologists, data engineers, and AI teams to enable downstream intelligent applications.
- Write clean, testable, and production-grade code, ensuring adherence to engineering best practices.
- Contribute to solution design, estimation, and client discussions, and mentor junior team members.
- Bachelor’s or higher degree in Computer Science, Data Engineering, AI, or related fields.
- Hands-on experience in data engineering, with exposure to knowledge graph or semantic data systems.
- Experience with graph technologies such as Neo4j, Stardog, GraphDB, and concepts like RDF/OWL.
- Strong understanding of data modelling, system design, and architecture decision-making.
- Experience with graph query languages (e.g., Cypher) and graph-based data processing.
- Proficiency in programming languages such as Python, Java, or Node.js.
- Familiarity with cloud platforms (AWS, GCP, Azure) and modern data ecosystems.
- Ability to design and build scalable data pipelines and integrations.
- Strong problem-solving, communication, and stakeholder collaboration skills.
- Ability to operate in roles requiring ownership, design thinking, and technical judgment.
How you’ll grow:
- Cross-functional skills development & custom learning pathways
- Milestone training programs aligned to career progression opportunities
- Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in Poland, visit ZS Poland office locations | Where we work | ZS.
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com