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Infosys

Engineer Specialist – Enterprise AI

Infosys

. Lead and deliver end-to-end, data-driven solutions using Palantir Foundry in complex client environments .

Posted 10/8/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in delivering end-to-end data-driven solutions using Palantir Foundry, with strong programming skills in Python, SQL, and PySpark. Capable of designing scalable data pipelines and ensuring data quality, governance, and performance in complex client environments.

Highest-signal resume keywords
Palantir Foundry ExpertisePython ProgrammingSQL ProficiencyData Pipeline DevelopmentETL/ELT Pipeline Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLPySparkData Pipeline DevelopmentData IntegrationOntology ModellingData LineageETL/ELTAPIsData Architecture
Soft Skills
Problem SolvingCollaborationOwnershipCommunicationClient-Facing Skills
Tools & Technologies
Palantir FoundryPipeline BuilderCode WorkbookCI/CDData LakesLakehousesData Warehouses
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in EngineeringMaster’s Degree in Mathematics
Industry Keywords
Data-Driven SolutionsAnalyticsPlatform EngineeringData QualityGovernanceSecurityPerformance

Tech Stack

Tools & technologies
ETLPySparkPythonSQL

About the role

Key responsibilities & impact
  • Lead and deliver end-to-end, data-driven solutions using Palantir Foundry in complex client environments
  • Own end-to-end delivery of Palantir Foundry-based solutions from problem definition to production
  • Design and implement data pipelines and transformations across diverse data sources
  • Model data using Foundry Ontology concepts for analytics and operational use cases
  • Build scalable, reliable solutions using Python, SQL, and PySpark within Foundry
  • Collaborate with business stakeholders to define requirements, success metrics, and roadmaps
  • Support prototyping, productionisation, and scaling of data-driven applications
  • Ensure solutions meet data quality, governance, security, and performance requirements
  • Act as a technical advisor within project teams and contribute to best practices

Requirements

What you’ll need
  • Proven experience as a Senior Consultant or Principal Consultant in data, analytics, or platform engineering
  • Strong experience delivering client-facing data solutions in complex environments
  • Ability to take ownership and work independently in ambiguous problem spaces
  • Strong programming skills in Python and SQL
  • PySpark experience required
  • Hands-on experience with Palantir Foundry, including Pipeline Builder / Code Workbook, data integration and transformation, ontology modelling, and data lineage
  • Solid understanding of data architectures, including data lakes, lakehouses, and data warehouses
  • Experience working with APIs, databases, and structured / semi-structured data
  • Experience building scalable ETL/ELT pipelines
  • Familiarity with CI/CD concepts, testing, and production deployments
  • Strong focus on solution quality, maintainability, and performance
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience
  • Very good English skills
  • Willingness to travel for project-related work

Benefits

Comp & perks
  • Industry-leading compensation and benefits
  • Top training and development opportunities
  • Training and career paths
  • Global reach and opportunities to partner with clients throughout their transformation journey
  • Inclusive and entrepreneurial culture