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- Tasks: Design and build data engineering solutions using Palantir and modern cloud platforms.
- Company: Join a team focused on digital and data transformation with cutting-edge technology.
- Benefits: Work with the latest frameworks and enjoy opportunities for professional growth.
- Why this job: Be part of a dynamic environment solving complex business problems with data.
- Qualifications: Experience in data pipelines, Palantir features, and strong coding skills required.
- Other info: UK citizenship is required; no sponsorship available.
The predicted salary is between 43200 - 72000 £ per year.
Criteria: ILR, UK Citizen – Unfortunately our client is unable to provide sponsorship or process candidates on a working VISACloud 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 paceYour 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 toolsPlease email your CV or call (phone number removed) to learn more
Palantir Data Engineer employer: Visacloud Data Platforms
Contact Detail:
Visacloud Data Platforms Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Palantir Data Engineer
✨Tip Number 1
Familiarize yourself with Palantir's tools and features, especially Code Repo, Pipeline Builder, and Data Connection setups. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Network with professionals in the data engineering field, particularly those who have experience with Palantir. Engaging in discussions on platforms like LinkedIn can provide insights and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends and best practices in cloud data engineering. Being knowledgeable about AWS, Azure, and GCP will not only enhance your skill set but also demonstrate your commitment to the role.
✨Tip Number 4
Prepare to discuss real-world scenarios where you've successfully implemented data solutions. Highlighting your problem-solving skills and ability to work with complex datasets will resonate well with the hiring team.
We think you need these skills to ace Palantir Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Palantir Data Engineer position. Understand the key responsibilities and required skills, especially focusing on cloud technologies and data engineering best practices.
Tailor Your CV: Customize your CV to highlight relevant experience in data engineering, particularly with Palantir and cloud platforms like AWS, Azure, or GCP. Emphasize your experience with data pipelines, coding practices, and any certifications you may have.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for cloud technology and data engineering. Mention specific projects or experiences that align with the job requirements and demonstrate your ability to solve business problems using data.
Highlight Technical Skills: In your application, clearly outline your technical skills, especially in PySpark, Spark SQL, and any experience with CI/CD technologies. Provide examples of how you've used these skills in previous roles to deliver data solutions.
How to prepare for a job interview at Visacloud Data Platforms
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Palantir Data Engineering features, such as Code Repo and Pipeline Builder. Highlight specific projects where you developed data pipelines or built data solutions using PySpark and Spark SQL.
✨Understand the Business Context
Demonstrate your ability to translate business problems into data solutions. Prepare examples of how you've worked with stakeholders to identify opportunities for leveraging data and improving operational processes.
✨Familiarize Yourself with Cloud Platforms
Since the role involves working with AWS, Azure, and GCP, make sure you understand the basics of these cloud platforms. Be ready to discuss any relevant experience you have in deploying data solutions in the cloud.
✨Prepare for Behavioral Questions
Expect questions about teamwork and collaboration, especially since you'll be working closely with Solution Architects and Product Owners. Think of examples that showcase your ability to build relationships and deliver results in a team setting.
