Data Engineer

Intelstack; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

Intelstack seeks experienced Foundry Application & Data Engineers to support the maintenance and enhancement of operations on Palantir Foundry. This hybrid role entails application support, incident resolution, and data processing, utilizing TypeScript, React, and OSDK.

Ideal candidates will have expertise in Foundry operational applications and strong data engineering skills. Join us to contribute to critical applications and ensure seamless data workflows.

Qualifications

• Strong hands-on experience with Palantir Foundry.
• Experience developing and supporting Foundry operational applications.
• Good understanding of Foundry Ontology, including objects and actions.

Responsibilities

• Develop and maintain operational applications in Palantir Foundry.
• Support incident resolution and live service for data products.
• Build and support data ingestion and transformation pipelines.

Skills

Palantir Foundry

TypeScript

React

OSDK

Python

PySpark

Tools

Foundry Code Repositories

Job description

We are looking for experienced Foundry Application & Data Engineers to support the run, maintenance and enhancement of operational applications on Palantir Foundry.

The role involves a combination of application support, incident resolution, data ingestion, data processing, ontology development, writeback implementation, restricted views, and Foundry application development using TypeScript, React and OSDK.

This is a hybrid role suited to someone who can work across both data engineering and application enablement within Palantir Foundry. The candidate does not need to be a pure front-end developer, but should be comfortable supporting and enhancing ontology-backed applications where the application logic is closely linked to data products, workflows and governed data access.

Key Responsibilities

Foundry Application Development

• Develop, enhance, run and maintain operational applications in Palantir Foundry.
• Build and support application components using TypeScript, React and OSDK.
• Configure and consume ontology objects, actions and functions within Foundry applications.
• Support operational workflows involving users, governed data access and writeback.
• Troubleshoot application issues, user-reported defects and operational incidents.
• Work with product owners, service teams and users to understand application behaviour and support needs.
• Ensure applications are maintainable, supportable and aligned with Foundry delivery standards.

Ontology and Writeback

• Build and maintain Foundry ontology objects, object types, links, actions and functions.
• Configure ontology-backed workflows to support operational use cases.
• Implement and support writeback patterns where users need to update, enrich or correct operational data.
• Ensure writeback logic is governed, auditable and aligned with access controls.
• Support restricted views and controlled data access patterns.

Data Engineering and Processing

• Build, maintain and support data ingestion and transformation pipelines in Foundry.
• Develop data processing logic using Python, PySpark and Foundry Code Repositories.
• Support ingestion from upstream sources and provisioning of curated datasets for downstream use.
• Investigate data issues related to quality, completeness, latency, schema changes and failed jobs.
• Maintain data lineage, transformation logic and operational documentation.
• Support deployment and release of data engineering changes through Foundry development workflows.

Incident Resolution and Live Service Support

• Provide advanced support for operational applications and data products.
• Investigate and resolve incidents across application, ontology, data pipeline and access layers.
• Perform root cause analysis and recommend permanent fixes.
• Support service continuity for business-critical applications.
• Work with service management teams to triage, prioritise and resolve issues.
• Maintain support runbooks, known error logs and operational knowledge articles.
• Support controlled data provisioning requests.

Workshops and Stakeholder Engagement

• Participate in workshops with business, product, data and service teams.
• Translate business requirements into Foundry data products, ontology design and application features.
• Support discovery, solution design, impact assessment and delivery planning.
• Explain technical options clearly to non-technical stakeholders.

Required Skills and Experience

• Strong hands-on experience with Palantir Foundry.
• Experience developing and supporting Foundry operational applications.
• Good understanding of Foundry Ontology, including objects, links, actions and writeback.
• Experience with Foundry Code Repositories.
• Experience with data ingestion, transformation and data processing pipelines.
• Working knowledge of TypeScript, React and OSDK.
• Understanding of governed data access, restricted views and role-based access patterns.
• Ability to troubleshoot production data and application issues.
• Experience working in incident resolution or live service support environments.
• Ability to work with business users, product owners, service architects and data teams.
• Good documentation skills, including runbooks, support notes and technical design documentation.
• Experience in healthcare, public sector or regulated data environments.
• Experience with Foundry Workshop applications.
• Experience with data provisioning services.
• Experience with access control, data governance and information governance processes.
• Experience with CI/CD or structured release processes in Foundry.
• Experience with production support, service transition and operational readiness.
• Familiarity with incident, problem and change management processes.
• Experience working with sensitive or restricted data in a governed platform environment.

The role will contribute to:

• Operational Foundry applications maintained and enhanced.
• Incidents triaged, investigated and resolved.
• Data ingestion and processing pipelines maintained.
• Ontology objects, actions and writeback patterns implemented or supported.
• Restricted views and governed access patterns maintained.
• Data provisioning requests fulfilled.
• Support runbooks and technical documentation updated.
• Root cause analysis and service improvement actions completed.
• Workshops supported with technical input and solution options.