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 www.exlservice.com.
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 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.
Qualifications and experience we consider to be essential for the role:
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
PySpark
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.
Preferred Qualifications
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.
Essential Requirements
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.
As part of a leading global Data and AI company, you can look forward to:
A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories.
At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies.
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.
EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP).
At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.
To be considered for this role, you must already be eligible to work in the United Kingdom.
EXL London, England Office
London, United Kingdom
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