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Palantir Data Engineer

83zero Ltd
Posted 21 hours ago, valid for a month
Location

London, Greater London EC1M5UA, England

Salary

£80,000 - £100,000 per annum

Contract type

Full Time

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Sonic Summary

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  • The job title is Palantir Data Engineer, located in UK Wide Offices.
  • The salary for this position ranges from £80,000 to £100,000, along with benefits, perks, and healthcare options.
  • Candidates are required to have experience in developing enterprise-grade data pipelines and applying Data Engineering best practices.
  • All applicants must be eligible for Security Clearance, having resided in the UK for the past five years without leaving for more than 30 days.
  • The role involves designing and building data solutions using Palantir services and collaborating with clients to deliver modern data products.

  • Use Palantir Data focused Reference Architecture, Design and build data solutions
  • Analyse current business practices, processes and procedures and identify future opportunities for leveraging Palantir services and implement effective metrics and monitoring processes

Job Title: Palantir Data Engineer

Location: UK Wide Offices

Salary: 80,000 - 100,000 plus benefits, perks, healthcare options!

Travel Frequency: Hybrid

About the job you're considering

Security Clearance: All Applicants must be eligible for Security Clearance - You must of continually resided in the UK for 5 years and not left continually for more than 30 days.

  • Criteria: ILR, UK Citizen - Unfortunately our client is unable to provide sponsorship or process candidates on a working VISA

Cloud Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP.

Your Role

We are looking for strong Palantir Data Engineers who are passionate about Cloud technology. Your work will be to:

  • Design and build data engineering solutions and support the planning and implementation of data solutions
  • Work with clients and local teams to deliver modern data products and build relationships
  • Use Palantir Data focused Reference Architecture, Design and build data solutions
  • Analyse current business practices, processes and procedures and identify future opportunities for leveraging Palantir services and implement effective metrics and monitoring processes
  • Work with internal and external stakeholders to translate business problems into operational improvements and end user solutions
  • Work with large scale, complex datasets to solve business problems and drive insight at pace

Your Skills and Experience

  • Experience of developing enterprise grade data pipelines and demonstratable knowledge of applying Data Engineering best practices (coding practices, unit testing, version control, code review)
  • Work with Solution Architect, Product Owner, and Business users to understand the requirements to lead and deliver the data solutions in Palantir and strong experience with Palantir Data Engineering features such as Code Repo, Code Workbook, Pipeline Builder, migration techniques, Data Connection and Security setup
  • Developing data integration pipelines, transformations, pipeline scheduling, Ontology, and applications in Palantir Foundry
  • Design, develop and deploy data solutions in Palantir with excellent skills in PySpark and Spark SQL for data transformations
  • Experience in designing and building interactive data applications working with Ontology, actions, functions, object views, automate, indexing, data health & expectations etc. and developing parameterized, interactive dashboards in Quiver
  • In addition to the above, the following skills and experience would also be desirable - Palantir Foundry Amplify data engineering certification and experience of working with CI/CD technologies, building, and deploying Palantir data solutions to Cloud (AWS/Azure/Google Cloud), hands-on with Python, SQL, and Cloud provisioning tools

Please email your CV or call (phone number removed) to learn more!

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