Palantir Data Engineer
Listed on 2026-09-22
-
Software Development
Data Engineering, AI Engineer (Applied/Software)
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.
We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit
Role
Title:
Palantir Data Engineer
BU/Segment: Insurance
Location: London, United Kingdom (Hybrid)
Employment Type: Permanent
Summary of the role:We are looking for a highly skilled Palantir Data Engineer to join our growing Insurance practice. This role is ideal for a data engineering professional with strong experience in modern cloud-based data platforms and hands‑on expertise with Palantir Foundry and AIP
.
You will play a key role in designing, developing, and optimizing scalable data solutions, enabling advanced analytics, AI/ML initiatives, and business‑critical decision‑making. Working alongside data architects, product teams, and business stakeholders, you will help deliver enterprise‑grade data products that drive transformation across the insurance sector.
As part of your duties, you will be responsible for:- 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 Type Script ,
Python
, and Py Spark . - 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, Dev Ops practices, and cloud-native deployments.
- Work within Agile delivery teams to successfully deliver complex data engineering initiatives.
- 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
- Foundry applications and Workshop
- Strong programming expertise in:
- Python
- Py Spark
- Type Script / Java Script
- 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 Dev Ops 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 Tensor Flow or PyTorch.
- Palantir Foundry certification or significant project delivery experience.
- Previous experience within the Insurance industry.
- Experience supporting enterprise‑scale digital…
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