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.
Jul 10, 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.
hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. Project Contractor Project Contractor Summary Contract role to design and deliver a proof-of-concept knowledge graph modeling investment fund data for one of the world's largest asset managers. You will encode business rules, regulatory constraints, and identifier relationships as machine-readable ontologies - directly eliminating manual fund data processes and enabling automated validation across thousands of funds in 6 global markets. Defined POC scope, executive sponsorship, and weekly technical guidance from two of the most recognized knowledge graph practitioners in financial services. What You'll Deliver (POC Scope) An investment fund ontology (OWL 2 / RDF / Linked Data) modeling the product hierarchy: Fund > ShareClass > Listing > Security, with 73+ identifier types (ISIN, SEDOL, CUSIP, LEI, Bloomberg, and more) governed across US, UK, Ireland, Australia, Canada, and Mexico SHACL validation shapes encoding business rules as executable constraints - e.g., "A US-domiciled ETF listing must have a valid ISIN" - that flag violations at fund launch and throughout the fund lifecycle SKOS concept schemes harmonizing vocabulary across 8+ internal systems, providing a semantic bridge between source-of-record platforms Data integration pipelines mapping relational data into RDF triples (Turtle/N-Quads) using R2RML, rdflib, or equivalent mapping tooling API layer enabling downstream applications to consume graph data programmatically Automated governance reports surfacing data quality gaps, missing identifiers, and cross-system inconsistencies Required Skills 5+ years hands-on experience building and deploying RDF/OWL ontologies in production (not solely academic - you have shipped something real) SHACL for constraint validation, data quality enforcement, and shape-based governance SPARQL 1.1 - fluent in complex queries, property paths, and federated queries At least one enterprise triple store / graph platform: TopBraid, GraphDB (Ontotext), Stardog, RDFox, Amazon Neptune (RDF mode), or equivalent Python or Java for data transformation, pipeline orchestration, and integration work Familiarity with financial or securities identifiers (ISIN, SEDOL, CUSIP, LEI, or similar instrument identification schemes) - you don't need to be a fund accountant, but you need to understand what an identifier is and why it matters Working knowledge of data governance - you understand why constraints exist, not just how to code them Preferred Experience Financial services domain: fund data, securities master, regulatory compliance (MiFID, UCITS, listing rules) FIBO (Financial Industry Business Ontology) or similar financial ontologies TopBraid EDG / GraphWise (our target platform - evaluation input from this hire is welcome) SKOS for vocabulary management and cross-system term harmonization R2RML / RML or equivalent relational-to-RDF mapping standards Ontology design patterns, modular schema design, ontology versioning (Git-based workflows) Enterprise-scale data modeling (thousands of entities, multi-market, multi-product-type) Exposure to rules engines, inference, or deterministic AI (SHACL-based reasoning, business rules automation) Agile delivery in a regulated environment How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Jul 08, 2026
Full time
hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. Project Contractor Project Contractor Summary Contract role to design and deliver a proof-of-concept knowledge graph modeling investment fund data for one of the world's largest asset managers. You will encode business rules, regulatory constraints, and identifier relationships as machine-readable ontologies - directly eliminating manual fund data processes and enabling automated validation across thousands of funds in 6 global markets. Defined POC scope, executive sponsorship, and weekly technical guidance from two of the most recognized knowledge graph practitioners in financial services. What You'll Deliver (POC Scope) An investment fund ontology (OWL 2 / RDF / Linked Data) modeling the product hierarchy: Fund > ShareClass > Listing > Security, with 73+ identifier types (ISIN, SEDOL, CUSIP, LEI, Bloomberg, and more) governed across US, UK, Ireland, Australia, Canada, and Mexico SHACL validation shapes encoding business rules as executable constraints - e.g., "A US-domiciled ETF listing must have a valid ISIN" - that flag violations at fund launch and throughout the fund lifecycle SKOS concept schemes harmonizing vocabulary across 8+ internal systems, providing a semantic bridge between source-of-record platforms Data integration pipelines mapping relational data into RDF triples (Turtle/N-Quads) using R2RML, rdflib, or equivalent mapping tooling API layer enabling downstream applications to consume graph data programmatically Automated governance reports surfacing data quality gaps, missing identifiers, and cross-system inconsistencies Required Skills 5+ years hands-on experience building and deploying RDF/OWL ontologies in production (not solely academic - you have shipped something real) SHACL for constraint validation, data quality enforcement, and shape-based governance SPARQL 1.1 - fluent in complex queries, property paths, and federated queries At least one enterprise triple store / graph platform: TopBraid, GraphDB (Ontotext), Stardog, RDFox, Amazon Neptune (RDF mode), or equivalent Python or Java for data transformation, pipeline orchestration, and integration work Familiarity with financial or securities identifiers (ISIN, SEDOL, CUSIP, LEI, or similar instrument identification schemes) - you don't need to be a fund accountant, but you need to understand what an identifier is and why it matters Working knowledge of data governance - you understand why constraints exist, not just how to code them Preferred Experience Financial services domain: fund data, securities master, regulatory compliance (MiFID, UCITS, listing rules) FIBO (Financial Industry Business Ontology) or similar financial ontologies TopBraid EDG / GraphWise (our target platform - evaluation input from this hire is welcome) SKOS for vocabulary management and cross-system term harmonization R2RML / RML or equivalent relational-to-RDF mapping standards Ontology design patterns, modular schema design, ontology versioning (Git-based workflows) Enterprise-scale data modeling (thousands of entities, multi-market, multi-product-type) Exposure to rules engines, inference, or deterministic AI (SHACL-based reasoning, business rules automation) Agile delivery in a regulated environment How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
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.
Jul 08, 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.
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
