Use Palantir Data focused Reference Architecture to design and build data solutions.
Analyse current business practices, processes, and procedures to 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 have continually resided in the UK for 5 years and not left continuously 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 focused on driving our customers' digital and data transformation journey using modern cloud platforms. We specialize in 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 include:
1. Designing and building data engineering solutions and supporting the planning and implementation of data solutions.
2. Working with clients and local teams to deliver modern data products and build relationships.
3. Using Palantir Data focused Reference Architecture to design and build data solutions.
4. Analysing current business practices, processes, and procedures to identify future opportunities for leveraging Palantir services and implementing effective metrics and monitoring processes.
5. Working with internal and external stakeholders to translate business problems into operational improvements and end-user solutions.
6. Working 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 demonstrable knowledge of applying Data Engineering best practices (coding practices, unit testing, version control, code review).
Working 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.
Designing, developing, and deploying 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, automation, 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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