Job Title: Palantir Data Engineer

Location: UK Wide Offices

Salary: £70,000 - £80,000 plus benefits, perks, healthcare options!

Travel Frequency: Hybrid

Working Pattern: Full-time Permanent

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