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ZS

Global management consulting for sales optimization

Senior Data Engineer - Knowledge graph

Data EngineeringConfirmed live in the last 24 hours
Full-timeWarsaw, PolandNo salary listed

About the Job

Requirements

  • A bachelor's or higher degree in Computer Science, Data Engineering, AI, or a related field.
  • Hands-on experience in data engineering, with exposure to knowledge graph or semantic data systems.
  • Experience with graph technologies such as Neo4j, Stardog, and GraphDB, and concepts such as RDF and OWL.
  • Strong understanding of data modelling, system design, and architecture decision-making.
  • Experience with graph query languages such as Cypher and graph-based data processing.
  • Proficiency in programming languages such as Python, Java, or Node.js.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure and modern data ecosystems.
  • Ability to design and build scalable data pipelines and integrations.
  • Ability to operate in roles requiring ownership, design thinking, and technical judgment.
  • Candidates must possess or be able to obtain work authorization for their intended country of employment.
  • An online application, including a full set of official or unofficial transcripts, is required to be considered.

Responsibilities

  • 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 such as Neo4j, Stardog, or 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 such as BigQuery.
  • Apply 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, production-grade code in adherence to engineering best practices.
  • Contribute to solution design, estimation, and client discussions, and mentor junior team members.

Desired Qualifications

  • Strong problem-solving, communication, and stakeholder collaboration skills.

About the Company

ZS

Global management consulting for sales optimization

ZS Associates helps organizations optimize their sales and marketing operations through data-driven analytics. The company uses mathematical models and rigorous analysis—originating from Kellogg professors in the 1980s—to size and structure sales teams, design territories, forecast markets, manage data, and design incentive compensation. Its services are delivered as consulting engagements that translate complex analytics into practical business decisions, such as how many salespeople a company needs, how to assign territories, and how to align incentives to drive performance. ZS differentiates itself with a deep, methodical focus on analytics, built from decades of experience and applied across industries beyond its pharmaceutical roots. The company’s goal is to help clients improve performance and return on investment by turning data into actionable sales and marketing solutions.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Evanston, IL
Founded
1983

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