Negotiable
Undetermined
Undetermined
Old Street, London, UK
Summary: TEKsystems Global Services is seeking a Senior Data Engineer with expertise in Graph Analytics to design and implement a graph platform within Google Cloud Platform. The role combines data engineering, advanced analytics, and business transformation, focusing on modeling complex business relationships and delivering analytics enablement. The ideal candidate will lead integration testing and guide stakeholders through the platform's adoption. This position requires a blend of technical skills in graph databases and soft skills for effective communication and innovation.
Key Responsibilities:
- Deploy and configure a graph lakehouse platform (eg, PuppyGraph) within Google Cloud Platform (GCP)
- Model complex business relationships and interactions into a scalable knowledge graph
- Build virtual graph layers using Starburst to integrate distributed data with minimal ETL
- Deliver analytics enablement via a curated set of graph query examples mapped to real business questions
- Lead integration testing, document platform operations, and guide stakeholders through enablement and adoption
Key Skills:
- Expertise in graph databases: Neo4j, TigerGraph, PuppyGraph
- Proficient in graph query languages such as Cypher, PGQ, or SQL
- Solid experience with data integration/Scripting using Python or Scala
- Familiarity with data virtualization technologies and enterprise-grade architecture
- Strong hands-on knowledge of GCP infrastructure and services
- Innovative and analytical mindset with strong business acumen
- Ability to conceptualize complex systems in an abstract but actionable way
- Proactive communicator and trusted advisor for stakeholders
- Passion for evangelizing cutting-edge technologies that deliver real-world value
Salary (Rate): undetermined
City: Old Street
Country: UK
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
TEKsystems Global Services are looking for a Senior Data Engineer with deep expertise in Graph Analytics to architect and operationalize a cutting-edge graph platform. This role sits at the intersection of data engineering, advanced analytics, and business transformation.
Responsibilities
Deploy and configure a graph lakehouse platform (eg, PuppyGraph) within Google Cloud Platform (GCP)
Model complex business relationships and interactions into a scalable knowledge graph
Build virtual graph layers using Starburst to integrate distributed data with minimal ETL
Deliver analytics enablement via a curated set of graph query examples mapped to real business questions
Lead integration testing, document platform operations, and guide stakeholders through enablement and adoption
Required Skills
Expertise in graph databases: Neo4j, TigerGraph, PuppyGraph
Proficient in graph query languages such as Cypher, PGQ, or SQL
Solid experience with data integration/Scripting using Python or Scala
Familiarity with data virtualization technologies and enterprise-grade architecture
Strong hands-on knowledge of GCP infrastructure and services
Soft Skills
Innovative and analytical mindset with strong business acumen
Ability to conceptualize complex systems in an abstract but actionable way
Proactive communicator and trusted advisor for stakeholders
Passion for evangelizing cutting-edge technologies that deliver real-world value
Job Title: Senior Data Engineer
Location: Old Street, UK
Job Type: Contract
Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website.
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