Data Engineer

About the Company We are working with a leading global data and AI consultancy that is looking to hire a Palantir Data Engineer to join a growing data transformation practice. About the Role This position would suit an experienced Data Engineer with strong expertise in Palantir Foundry, cloud-based data platforms, and modern data engineering practices. You will play a key role in designing and delivering scalable data solutions that support advanced analytics, AI initiatives, and business-critical decision-making. Working alongside architects, engineers, and business stakeholders, you will contribute to the delivery of enterprise-grade data products and transformation programmes. Responsibilities

• Design, develop and maintain scalable data pipelines and platforms.
• Build and manage data ingestion, transformation and orchestration workflows within Palantir Foundry.
• Create and optimise Foundry datasets, pipelines and applications.
• Develop interactive applications using Foundry Workshop, Slate and custom front-end components.
• Build integrations and applications using Python, PySpark and TypeScript.
• Work closely with business and technical stakeholders to translate requirements into technical solutions.
• Support AI-enabled use cases using Palantir AIP.
• Implement data governance, quality, security and performance best practices.
• Contribute to CI/CD processes and cloud-native deployments.
• Deliver data engineering solutions within Agile delivery teams. Qualifications
• 3+ years' experience in Data Engineering or Big Data environments.
• 2+ years' commercial experience with Palantir Foundry. Required Skills
• Strong hands-on experience with:
• Data ingestion and integration
• Data transformations
• Foundry datasets
• Pipeline development
• Foundry applications and Workshop
• AIP Logics
• Automate
• Strong programming skills in:
• Python
• PySpark
• TypeScript / JavaScript
• Experience building custom applications within Foundry.
• Experience with AWS services such as S3, Glue, Athena, Lambda and Redshift.
• Experience delivering production-grade cloud data solutions.
• Strong analytical and troubleshooting skills.
• Hands-on experience with Palantir AIP and AI-enabled Foundry applications. Preferred Skills
• Palantir Foundry certification.
• Experience with Snowflake.
• Knowledge of Docker, Kubernetes and CI/CD tooling.
• Exposure to TensorFlow, PyTorch or other AI/ML frameworks.
• Experience supporting large-scale digital transformation programmes. Pay range and compensation package
• Competitive base salary.
• Annual bonus.
• Private healthcare.
• Pension contribution.
• Income protection and life assurance.
• Flexible hybrid working.
• Ongoing learning and development opportunities.
• Exposure to cutting-edge data and AI programmes within enterprise environments.