Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Are you passionate about transforming enterprise data into meaningful insights? Do you thrive in innovative environments where you can shape the future of data architecture? If so, our client is looking for you! Join us as a Semantic Graph & Ontology Architect and play a pivotal role in developing a Smart Data Fabric that unifies various data sources like Snowflake, SharePoint, and ERP systems, all while enhancing AI capabilities through a sophisticated semantic, graph-native foundation. Role: Semantic Graph & Ontology Architect Duration: 6 Months (extension options) Location: Fully Remote Rate: Competitive (outside ir35) How You'll Make an Impact: As a hands-on leader, you will: Graph & Semantic Architecture: Design scalable graph schemas (LPG and/or RDF/OWL) to meet semantic and inference requirements. Author and optimise queries using Cypher, Gremlin, and SPARQL for seamless data traversal and reasoning. Define canonical entity models and mapping layers to integrate diverse data sources. Ontology Engineering & Reasoning: Create and maintain formal ontologies and taxonomies while governing their versioning and lifecycle. Implement logical inference for agent decision-making and ensure workflow integrity. Establish standards for semantic consistency and data quality checks. Hybrid Semantic Layer (Graph + Logic): Design a hybrid semantic layer that combines graph context with business logic for enhanced search and knowledge contextualization. Model RACI/RBAC as graph edges/nodes, embedding compliance rules for auditability. APIs, Patterns & Collaboration: Define clean API layers for semantic enrichment and retrieval; deliver reference implementations. Collaborate with platform engineers for agent connectivity and tool discovery patterns. Partner with data, platform, and security teams for governance and observability. Quality, Performance & Governance: Set performance budgets to ensure efficient query execution and prevent issues. Establish lineage and governance artefacts like semantic catalogues and audit trails. Document standards and mentor engineers in adopting graph and semantic patterns. What You Bring: A bachelor's or master's degree in computer science, Data Science, Mathematics, Engineering, or a related field. 7-12 years of experience in graph databases, semantic modelling, and ontology engineering. Expertise in query languages like Cypher, Gremlin, and SPARQL, with a strong understanding of LPG vs RDF/OWL tradeoffs. Hands-on experience with Neo4j, AWS Neptune, TigerGraph, or Stardog in a production environment. Proficiency in mapping enterprise data (Snowflake, MongoDB, SharePoint, ERP) into graph and ontology layers. A solid grasp of RBAC/RACI, data governance, lineage, and security controls. Ability to design clean APIs for semantic enrichment and retrieval. Familiarity with AWS services (IAM, VPC, S3, EKS/ECS/Lambda) in collaboration with platform teams. Preferred Qualifications: Experience with ontology tooling (Prot g , SHACL/SWRL) and reasoning engines. Prior delivery of enterprise knowledge graphs supporting workflows and audit trails. Exposure to vector retrieval and how graph context informs data re-ranking. Knowledge of observability tools like OpenTelemetry, Prometheus, and Grafana. Why Join Us? This is your opportunity to be at the forefront of data innovation in the energy sector! If you are eager to make a significant impact and collaborate with talented professionals, we want to hear from you! Apply now and embark on a journey to redefine how data drives decision-making in our client's organisation. Let's build a smarter future together! How to Apply: If you're excited about this opportunity and believe you're a great fit, please answer screening questions during application and submit your CV. Join our client and help shape the future of data engineering! We can't wait to welcome you aboard! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Jun 27, 2026
Contractor
Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Are you passionate about transforming enterprise data into meaningful insights? Do you thrive in innovative environments where you can shape the future of data architecture? If so, our client is looking for you! Join us as a Semantic Graph & Ontology Architect and play a pivotal role in developing a Smart Data Fabric that unifies various data sources like Snowflake, SharePoint, and ERP systems, all while enhancing AI capabilities through a sophisticated semantic, graph-native foundation. Role: Semantic Graph & Ontology Architect Duration: 6 Months (extension options) Location: Fully Remote Rate: Competitive (outside ir35) How You'll Make an Impact: As a hands-on leader, you will: Graph & Semantic Architecture: Design scalable graph schemas (LPG and/or RDF/OWL) to meet semantic and inference requirements. Author and optimise queries using Cypher, Gremlin, and SPARQL for seamless data traversal and reasoning. Define canonical entity models and mapping layers to integrate diverse data sources. Ontology Engineering & Reasoning: Create and maintain formal ontologies and taxonomies while governing their versioning and lifecycle. Implement logical inference for agent decision-making and ensure workflow integrity. Establish standards for semantic consistency and data quality checks. Hybrid Semantic Layer (Graph + Logic): Design a hybrid semantic layer that combines graph context with business logic for enhanced search and knowledge contextualization. Model RACI/RBAC as graph edges/nodes, embedding compliance rules for auditability. APIs, Patterns & Collaboration: Define clean API layers for semantic enrichment and retrieval; deliver reference implementations. Collaborate with platform engineers for agent connectivity and tool discovery patterns. Partner with data, platform, and security teams for governance and observability. Quality, Performance & Governance: Set performance budgets to ensure efficient query execution and prevent issues. Establish lineage and governance artefacts like semantic catalogues and audit trails. Document standards and mentor engineers in adopting graph and semantic patterns. What You Bring: A bachelor's or master's degree in computer science, Data Science, Mathematics, Engineering, or a related field. 7-12 years of experience in graph databases, semantic modelling, and ontology engineering. Expertise in query languages like Cypher, Gremlin, and SPARQL, with a strong understanding of LPG vs RDF/OWL tradeoffs. Hands-on experience with Neo4j, AWS Neptune, TigerGraph, or Stardog in a production environment. Proficiency in mapping enterprise data (Snowflake, MongoDB, SharePoint, ERP) into graph and ontology layers. A solid grasp of RBAC/RACI, data governance, lineage, and security controls. Ability to design clean APIs for semantic enrichment and retrieval. Familiarity with AWS services (IAM, VPC, S3, EKS/ECS/Lambda) in collaboration with platform teams. Preferred Qualifications: Experience with ontology tooling (Prot g , SHACL/SWRL) and reasoning engines. Prior delivery of enterprise knowledge graphs supporting workflows and audit trails. Exposure to vector retrieval and how graph context informs data re-ranking. Knowledge of observability tools like OpenTelemetry, Prometheus, and Grafana. Why Join Us? This is your opportunity to be at the forefront of data innovation in the energy sector! If you are eager to make a significant impact and collaborate with talented professionals, we want to hear from you! Apply now and embark on a journey to redefine how data drives decision-making in our client's organisation. Let's build a smarter future together! How to Apply: If you're excited about this opportunity and believe you're a great fit, please answer screening questions during application and submit your CV. Join our client and help shape the future of data engineering! We can't wait to welcome you aboard! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Data Engineer Fully Remote 55,000 - 60,000 + Car Allowance - 5,200 + 5% Bonus 6 Month initial FTC with view to extend Brief Data Engineer needed for a large well known Facilities Management organisation. The role I have can be based fully remote from home with all equipment provided. My client is looking to employ an experienced and well-rounded Data Engineer that takes pride in their work with proven 4 years experience working in a fast-paced environment, preferably within a dynamic data engineering team. The successful candidate must have proven skills at managing day-to-day BAU tasks to maintain existing data processes/ETLs, while simultaneously contributing to strategic roadmap projects and initiatives. Along with previous responsibility for end-to-end ownership of data pipelines and automation of data workflows. Finally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting. Benefits Salary: 55,000 - 60,000 per annum 25 day's holiday Company car / Allowance Private medical insurance Variable annual bonus based 5-15% Pension Plan Career Progression What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling the business to generate actionable insights and drive strategic decision-making. Lead workshops with business stakeholders to capture data requirements, translating these into flexible and scalable designs that utilise Palantir Foundry's advanced toolsets to deliver reliable, high-quality data solutions that align with strategic objectives. Demonstrate Palantir Foundry's full potential by showcasing its capabilities to a diverse set of business stakeholders, guiding them in leveraging the platform's full range of functionality to deliver transformative business outcomes. Ensure the availability, performance, and integrity of all data services within Palantir Foundry, continuously monitoring and optimising data processes to meet stringent service level agreements (SLAs) and business requirements. What experience you need to be the successful Data Engineer: Proficiency in Palantir Foundry pipeline development: Extensive experience in building, maintaining, and optimising data pipelines and transformations within Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration. Strong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows. Experience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies and regulatory standards. Data pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making. Code development, testing, and deployment in Foundry: Demonstrated ability to design, test, and deploy code using Foundry's integration with CI/CD pipelines, ensuring data processes are efficiently managed from development through to production. Effective collaboration and communication skills: Ability to work with cross-functional teams and effectively communicate technical concepts related to data workflows in Palantir Foundry to both technical and non-technical stakeholders, ensuring a clear understanding of how data solutions drive business outcomes. Deep familiarity with Palantir Foundry's tools and frameworks: Direct experience working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities. Experience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability to consolidate and migrate data processes and workloads into Palantir Foundry as part of a broader data strategy. Data-driven business value: Demonstrated ability to deliver tangible business value through the development and deployment of data engineering solutions, leveraging Palantir Foundry's capabilities to support key analytics, reporting, and decision-making initiatives. This really is a fantastic opportunity for a Data Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out! Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
Jun 26, 2026
Contractor
Data Engineer Fully Remote 55,000 - 60,000 + Car Allowance - 5,200 + 5% Bonus 6 Month initial FTC with view to extend Brief Data Engineer needed for a large well known Facilities Management organisation. The role I have can be based fully remote from home with all equipment provided. My client is looking to employ an experienced and well-rounded Data Engineer that takes pride in their work with proven 4 years experience working in a fast-paced environment, preferably within a dynamic data engineering team. The successful candidate must have proven skills at managing day-to-day BAU tasks to maintain existing data processes/ETLs, while simultaneously contributing to strategic roadmap projects and initiatives. Along with previous responsibility for end-to-end ownership of data pipelines and automation of data workflows. Finally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting. Benefits Salary: 55,000 - 60,000 per annum 25 day's holiday Company car / Allowance Private medical insurance Variable annual bonus based 5-15% Pension Plan Career Progression What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling the business to generate actionable insights and drive strategic decision-making. Lead workshops with business stakeholders to capture data requirements, translating these into flexible and scalable designs that utilise Palantir Foundry's advanced toolsets to deliver reliable, high-quality data solutions that align with strategic objectives. Demonstrate Palantir Foundry's full potential by showcasing its capabilities to a diverse set of business stakeholders, guiding them in leveraging the platform's full range of functionality to deliver transformative business outcomes. Ensure the availability, performance, and integrity of all data services within Palantir Foundry, continuously monitoring and optimising data processes to meet stringent service level agreements (SLAs) and business requirements. What experience you need to be the successful Data Engineer: Proficiency in Palantir Foundry pipeline development: Extensive experience in building, maintaining, and optimising data pipelines and transformations within Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration. Strong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows. Experience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies and regulatory standards. Data pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making. Code development, testing, and deployment in Foundry: Demonstrated ability to design, test, and deploy code using Foundry's integration with CI/CD pipelines, ensuring data processes are efficiently managed from development through to production. Effective collaboration and communication skills: Ability to work with cross-functional teams and effectively communicate technical concepts related to data workflows in Palantir Foundry to both technical and non-technical stakeholders, ensuring a clear understanding of how data solutions drive business outcomes. Deep familiarity with Palantir Foundry's tools and frameworks: Direct experience working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities. Experience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability to consolidate and migrate data processes and workloads into Palantir Foundry as part of a broader data strategy. Data-driven business value: Demonstrated ability to deliver tangible business value through the development and deployment of data engineering solutions, leveraging Palantir Foundry's capabilities to support key analytics, reporting, and decision-making initiatives. This really is a fantastic opportunity for a Data Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out! Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
Data Platform Engineer London (Hybrid) 6 Month Contract £(Apply online only)/day (Inside IR35) Data Platform Engineer needed with strong AWS cloud platform migration and Terraform expertise. 6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office. Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: In-depth Data Engineering experience + AWS cloud data platform migration experience. The role will focus on Data Engineering, cloud platform migration, infrastructure automation + supporting the delivery of large-scale data processing solutions. Supporting a major Data platform modernisation programme including migration of data pipelines, notebooks + data workloads from legacy Databricks environment to modern AWS cloud-based data platforms. Strong Terraform + Infrastructure as Code (IaC) skills including developing + maintaining Terraform code to support data platform deployments. Supporting deployment of data platform components, jobs, permissions + environment configurations. Analysing current Data Engineering solutions + identifying data migration requirements. Onboarding datasets, users + workloads onto target platform. Data Engineering: Python, PySpark, SQL, Data Pipeline Development, ETL/ELT Design, Data Modelling, Data Quality, Data Validation. AWS Cloud Platform, S3, IAM, CI/CD concepts, DevOps principles, Agile Delivery. Advantageous Skills: Databricks, Palantir Foundry, Foundry Pipeline Builder, Ontology concepts, Delta Lake, Secure Data Environment (SDE) experience, NHS / Healthcare data experience. Government / (url removed) / Public Sector domain experience strongly preferred. Must be active SC Cleared or fully eligible to undergo the full SC Security Clearance process.
Jun 23, 2026
Contractor
Data Platform Engineer London (Hybrid) 6 Month Contract £(Apply online only)/day (Inside IR35) Data Platform Engineer needed with strong AWS cloud platform migration and Terraform expertise. 6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office. Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: In-depth Data Engineering experience + AWS cloud data platform migration experience. The role will focus on Data Engineering, cloud platform migration, infrastructure automation + supporting the delivery of large-scale data processing solutions. Supporting a major Data platform modernisation programme including migration of data pipelines, notebooks + data workloads from legacy Databricks environment to modern AWS cloud-based data platforms. Strong Terraform + Infrastructure as Code (IaC) skills including developing + maintaining Terraform code to support data platform deployments. Supporting deployment of data platform components, jobs, permissions + environment configurations. Analysing current Data Engineering solutions + identifying data migration requirements. Onboarding datasets, users + workloads onto target platform. Data Engineering: Python, PySpark, SQL, Data Pipeline Development, ETL/ELT Design, Data Modelling, Data Quality, Data Validation. AWS Cloud Platform, S3, IAM, CI/CD concepts, DevOps principles, Agile Delivery. Advantageous Skills: Databricks, Palantir Foundry, Foundry Pipeline Builder, Ontology concepts, Delta Lake, Secure Data Environment (SDE) experience, NHS / Healthcare data experience. Government / (url removed) / Public Sector domain experience strongly preferred. Must be active SC Cleared or fully eligible to undergo the full SC Security Clearance process.
Knowledge Graph Engineer Location: London Role Type: Permanent Work Setup: Hybrid - 3 days in the office Who We Are We are a consultancy operating within Robert Walters, the world's most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds. The Role We have an exciting new opportunity for Knowledge Graph Engineer to join Robert Walters as a Consultant. As a Consultant, you will benefit from permanent employment with Robert Walters and will be deployed on an assignment within our clients' organisations, in return we will provide you with the opportunity to develop your skills with ongoing training and professional support. This role offers an exciting opportunity to join a global business, providing top-tier service to our blue chip clients. What You'll Do This role to design and deliver a proof-of-concept knowledge graph for investment fund data at one of the world's largest asset managers. You'll encode business rules, regulatory constraints, and identifier relationships into machine-readable ontologies, replacing manual processes and enabling automated validation across thousands of funds in six global markets. The project has a defined scope, executive backing, and guidance from leading financial services knowledge graph experts. Develop an investment fund ontology (OWL 2/RDF/Linked Data) modelling the hierarchy: Fund > ShareClass > Listing > Security, with 73+ identifier types (eg, ISIN, SEDOL, CUSIP, LEI, Bloomberg). Create SHACL validation shapes to enforce business rules (eg, "A US -domiciled ETF listing must have a valid ISIN"). Build SKOS concept schemes to harmonise vocabulary across internal systems. Design data integration pipelines mapping relational data into RDF triples using R2RML, rdflib or similar tools. Implement an API layer for programmatic graph data access. Generate automated governance reports highlighting data quality gaps and inconsistencies. What You Bring 5+ years' experience deploying RDF/OWL ontologies in production environments. Proficiency in SHACL for constraint validation and governance. Advanced SPARQL 1.1 query skills. Experience with enterprise triple stores (eg, TopBraid, GraphDB (Ontotext), Stardog, RDFox, Amazon Neptune (RDF mode), or equivalent). Python or Java for data transformation and pipeline orchestration. Familiarity with financial identifiers (ISIN, SEDOL, CUSIP, LEI) and their importance. Understanding of data governance principles. Preferred Experience Financial services domain knowledge (fund data, securities master, regulatory compliance). Experience with FIBO or similar financial ontologies. Familiarity with TopBraid EDG/GraphWise platforms. SKOS for vocabulary management. R2RML/RML for relational-to-RDF mapping. Ontology design patterns, modular schema design, ontology versioning (Git-based workflows) Large-scale data modelling across multi-market environments. Exposure to rules engines or deterministic AI (eg, SHACL-based reasoning). Agile delivery within regulated industries. What's Next If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.
Jun 23, 2026
Full time
Knowledge Graph Engineer Location: London Role Type: Permanent Work Setup: Hybrid - 3 days in the office Who We Are We are a consultancy operating within Robert Walters, the world's most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds. The Role We have an exciting new opportunity for Knowledge Graph Engineer to join Robert Walters as a Consultant. As a Consultant, you will benefit from permanent employment with Robert Walters and will be deployed on an assignment within our clients' organisations, in return we will provide you with the opportunity to develop your skills with ongoing training and professional support. This role offers an exciting opportunity to join a global business, providing top-tier service to our blue chip clients. What You'll Do This role to design and deliver a proof-of-concept knowledge graph for investment fund data at one of the world's largest asset managers. You'll encode business rules, regulatory constraints, and identifier relationships into machine-readable ontologies, replacing manual processes and enabling automated validation across thousands of funds in six global markets. The project has a defined scope, executive backing, and guidance from leading financial services knowledge graph experts. Develop an investment fund ontology (OWL 2/RDF/Linked Data) modelling the hierarchy: Fund > ShareClass > Listing > Security, with 73+ identifier types (eg, ISIN, SEDOL, CUSIP, LEI, Bloomberg). Create SHACL validation shapes to enforce business rules (eg, "A US -domiciled ETF listing must have a valid ISIN"). Build SKOS concept schemes to harmonise vocabulary across internal systems. Design data integration pipelines mapping relational data into RDF triples using R2RML, rdflib or similar tools. Implement an API layer for programmatic graph data access. Generate automated governance reports highlighting data quality gaps and inconsistencies. What You Bring 5+ years' experience deploying RDF/OWL ontologies in production environments. Proficiency in SHACL for constraint validation and governance. Advanced SPARQL 1.1 query skills. Experience with enterprise triple stores (eg, TopBraid, GraphDB (Ontotext), Stardog, RDFox, Amazon Neptune (RDF mode), or equivalent). Python or Java for data transformation and pipeline orchestration. Familiarity with financial identifiers (ISIN, SEDOL, CUSIP, LEI) and their importance. Understanding of data governance principles. Preferred Experience Financial services domain knowledge (fund data, securities master, regulatory compliance). Experience with FIBO or similar financial ontologies. Familiarity with TopBraid EDG/GraphWise platforms. SKOS for vocabulary management. R2RML/RML for relational-to-RDF mapping. Ontology design patterns, modular schema design, ontology versioning (Git-based workflows) Large-scale data modelling across multi-market environments. Exposure to rules engines or deterministic AI (eg, SHACL-based reasoning). Agile delivery within regulated industries. What's Next If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.
Amass Technology's client is looking for a Graph Engineer/Data Ontology Specialist on a contract basis to start ASAP. See details below: All applicants must be UK based. Key Responsibilities Design, optimise, and query graph databases (particularly Amazon Neptune). Develop and manage ontologies and robust knowledge representation frameworks. Integrate LLMs (Claude 3.7 or above, GPT, etc.) for content analysis, entity extraction, and semantic enrichment. Implement Retrieval Augmented Generation (RAG) and LLM-based fact extraction ([Subject, Verb, Object] triples). Build LLM-assisted QA pipelines for relationship validation and data consistency. Fine-tune and customise models for domain-specific applications. Apply graph algorithms, graph neural networks, and reasoning within Neptune and knowledge graph environments. Develop vector-based similarity search using embeddings and similarity algorithms. Apply traditional NLP methods (NER, POS tagging, syntactic parsing) alongside LLMs. Use clustering, classification, anomaly detection, and time-series analysis for content analysis and quality assurance. Deploy and scale ML models in production environments using AWS AI/ML services (eg, SageMaker). Build and optimise ETL pipelines and data workflows for large, complex datasets. Work with RDF, SPARQL, and semantic web technologies for structured data management. Required Skills & Expertise Graph engineering with Amazon Neptune and knowledge graph frameworks. Ontology engineering and semantic data modelling. LLM integration, fine-tuning, and RAG pipeline implementation. Advanced NLP and information retrieval methods. Experience with graph-based AI techniques (algorithms, GNNs, reasoning). Strong MLOps skills in performance evaluation and pipeline automation. Proficiency in AWS ML ecosystem (SageMaker, AI/ML services). Experience in ETL/data pipelines, semantic web standards (RDF, SPARQL). This is an excellent opportunity to work with some of the latest technologies on a really interesting project If you have the right experience and are looking for a new role, please send in your CV.
Oct 01, 2025
Contractor
Amass Technology's client is looking for a Graph Engineer/Data Ontology Specialist on a contract basis to start ASAP. See details below: All applicants must be UK based. Key Responsibilities Design, optimise, and query graph databases (particularly Amazon Neptune). Develop and manage ontologies and robust knowledge representation frameworks. Integrate LLMs (Claude 3.7 or above, GPT, etc.) for content analysis, entity extraction, and semantic enrichment. Implement Retrieval Augmented Generation (RAG) and LLM-based fact extraction ([Subject, Verb, Object] triples). Build LLM-assisted QA pipelines for relationship validation and data consistency. Fine-tune and customise models for domain-specific applications. Apply graph algorithms, graph neural networks, and reasoning within Neptune and knowledge graph environments. Develop vector-based similarity search using embeddings and similarity algorithms. Apply traditional NLP methods (NER, POS tagging, syntactic parsing) alongside LLMs. Use clustering, classification, anomaly detection, and time-series analysis for content analysis and quality assurance. Deploy and scale ML models in production environments using AWS AI/ML services (eg, SageMaker). Build and optimise ETL pipelines and data workflows for large, complex datasets. Work with RDF, SPARQL, and semantic web technologies for structured data management. Required Skills & Expertise Graph engineering with Amazon Neptune and knowledge graph frameworks. Ontology engineering and semantic data modelling. LLM integration, fine-tuning, and RAG pipeline implementation. Advanced NLP and information retrieval methods. Experience with graph-based AI techniques (algorithms, GNNs, reasoning). Strong MLOps skills in performance evaluation and pipeline automation. Proficiency in AWS ML ecosystem (SageMaker, AI/ML services). Experience in ETL/data pipelines, semantic web standards (RDF, SPARQL). This is an excellent opportunity to work with some of the latest technologies on a really interesting project If you have the right experience and are looking for a new role, please send in your CV.
CONTRACT PALANTIR DATA ENGINEER - DV CLEARED NEW OUTSIDE IR35 CONTRACT OPPORTUNITY AVAILABLE WITHIN A HIGHLY SECURE DELIVERY PROGRAMME FOR A DV CLEARED PALANTIR FOUNDRY DATA ENGINEER. Contract opportunity for a Palantir Data Engineer to support cutting-edge National Security projects Up to £650 per day (Outside IR35) DV clearance is essential Based Full time onsite in London Initial 12-month contract, with strong potential for long-term extension To apply, please email: (see below) WHO WE ARE? We are growing our customer delivery team off the back of major success in the secure consultancy space. As part of a key programme of work, we are looking to build an additional Palantir Data Engineering team to help deliver mission-impacting solutions within a fast-paced, secure environment. WE NEED THE PALANTIR DATA ENGINEER TO HAVE Proven experience building and deploying applications using Palantir Foundry Strong software/data engineering background - Computer Science, Physics, Maths, Data Science. Proficiency in Python and JavaScript/TypeScript Experience solving technical problems involving cloud, infrastructure, data pipelines, or full-stack apps Ability to design and manage Ontologies and build applications using Foundry tools like Workshop Strong communication skills to collaborate with technical and military/non-technical stakeholders Experience integrating data from multiple sources into Foundry via Pipeline Builder and custom code Comfortable working on-site within a secure environment and at pace with end-users TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to (see below) For further information, call me. I'm happy to speak outside of normal working hours (7am-10pm). If unavailable, leave a message and I'll get back to you ASAP. By applying for this role you give express consent for us to process and submit your application to our client in conjunction with this vacancy only. KEY SKILLS: PALANTIR/FOUNDARY/DATA ENGINEER/PIPELINE BUILDER/ONTOLOGY/PYTHON/TYPESCRIPT/FULL STACK/DV CLEARED/LONDON/CONTRACT
Oct 01, 2025
Contractor
CONTRACT PALANTIR DATA ENGINEER - DV CLEARED NEW OUTSIDE IR35 CONTRACT OPPORTUNITY AVAILABLE WITHIN A HIGHLY SECURE DELIVERY PROGRAMME FOR A DV CLEARED PALANTIR FOUNDRY DATA ENGINEER. Contract opportunity for a Palantir Data Engineer to support cutting-edge National Security projects Up to £650 per day (Outside IR35) DV clearance is essential Based Full time onsite in London Initial 12-month contract, with strong potential for long-term extension To apply, please email: (see below) WHO WE ARE? We are growing our customer delivery team off the back of major success in the secure consultancy space. As part of a key programme of work, we are looking to build an additional Palantir Data Engineering team to help deliver mission-impacting solutions within a fast-paced, secure environment. WE NEED THE PALANTIR DATA ENGINEER TO HAVE Proven experience building and deploying applications using Palantir Foundry Strong software/data engineering background - Computer Science, Physics, Maths, Data Science. Proficiency in Python and JavaScript/TypeScript Experience solving technical problems involving cloud, infrastructure, data pipelines, or full-stack apps Ability to design and manage Ontologies and build applications using Foundry tools like Workshop Strong communication skills to collaborate with technical and military/non-technical stakeholders Experience integrating data from multiple sources into Foundry via Pipeline Builder and custom code Comfortable working on-site within a secure environment and at pace with end-users TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to (see below) For further information, call me. I'm happy to speak outside of normal working hours (7am-10pm). If unavailable, leave a message and I'll get back to you ASAP. By applying for this role you give express consent for us to process and submit your application to our client in conjunction with this vacancy only. KEY SKILLS: PALANTIR/FOUNDARY/DATA ENGINEER/PIPELINE BUILDER/ONTOLOGY/PYTHON/TYPESCRIPT/FULL STACK/DV CLEARED/LONDON/CONTRACT
