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About the Role
We are seeking a skilled Palantir Data Engineer to join our Insurance practice. This role involves designing, developing, and optimizing scalable data solutions for advanced analytics, AI/ML, and business decision-making, contributing to transformation within the insurance sector.
Responsibilities
- Design, build, and maintain scalable, high-performance data pipelines and data platforms.
- Develop and manage data ingestion, transformation, and orchestration workflows within Palantir Foundry.
- Create and optimize Foundry datasets, pipelines, and applications to support analytics and AI-driven outcomes.
- Develop interactive business applications using Foundry Workshop, Slate, and custom front-end solutions.
- Build robust applications and integrations using TypeScript, Python, and PySpark.
- Collaborate with business and technical stakeholders to translate requirements into scalable data solutions.
- Integrate AI/ML capabilities into data workflows and support the deployment of intelligent applications using Foundry AIP.
- Implement best practices for data quality, governance, security, and performance optimization.
- Contribute to CI/CD processes, DevOps practices, and cloud-native deployments.
- Work within Agile delivery teams to successfully deliver complex data engineering initiatives.
Requirements
- 3-7 years of experience in Data Engineering, Data Platforms, or Big Data environments.
- 2+ years of hands-on experience with Palantir Foundry, including data ingestion and integration, Pipeline Builder, data transformations, Foundry datasets, and Foundry applications and Workshop.
- Strong programming expertise in Python, PySpark, and TypeScript / JavaScript.
- Experience building custom applications and user-facing solutions within Foundry.
- Strong understanding of distributed systems and microservices architecture.
- Experience with AWS services such as S3, Glue, Athena, Lambda, Redshift, Textract, and AI/ML services.
- Experience working with modern data technologies, including Snowflake.
- Knowledge of DevOps practices, CI/CD pipelines, Docker, and Kubernetes.
- Excellent analytical, problem-solving, and debugging skills.
- Experience working within Agile delivery frameworks.
- Hands-on experience with Palantir AIP and AI-enabled Foundry applications.
- Familiarity with AI/ML frameworks such as TensorFlow or PyTorch.
- Palantir Foundry certification or significant project delivery experience.
- Previous experience within the Insurance industry.
- Experience supporting enterprise-scale digital transformation initiatives.
- 3+ years of professional Data Engineering experience.
- 2+ years of commercial experience working with Palantir Foundry.
- 2+ years of experience developing applications using TypeScript.
- 3+ years of hands-on experience with Python and data engineering frameworks.
- Proven experience designing and delivering production-grade data solutions in cloud environments.
- Must already be eligible to work in the United Kingdom.
Skills
- Palantir Foundry
- Palantir AIP
- Data Engineering
- Data Platforms
- Big Data
- Python
- PySpark
- TypeScript
- JavaScript
- AWS
- Snowflake
- DevOps
- CI/CD
- Docker
- Kubernetes
- Agile
Location
- London, United Kingdom
Work Type
- Hybrid
- Permanent
Experience Level
- 3-7 years of experience in Data Engineering, Data Platforms, or Big Data environments
- 2+ years of hands-on experience with Palantir Foundry
- 3+ years of professional Data Engineering experience
- 2+ years of commercial experience working with Palantir Foundry
- 2+ years of experience developing applications using TypeScript
- 3+ years of hands-on experience with Python and data engineering frameworks
Salary/Compensations
- A competitive salary with a generous bonus
Benefits
- Private healthcare
- Critical illness life assurance at 4 x your annual salary
- Income protection insurance
- Rewarding pension
- Everyday financial well-being solutions, such as cash back cards
- Cycle Scheme
- Wide range of professional and personal development opportunities
- Support for a range of learning initiatives
- Employee Stock Purchase Plan (ESPP)
About the Company
- EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed.
- EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others.
- EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect.
- Headquartered in New York with more than 60,000 employees spanning six continents.
Equal Opportunity
- As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.