Ingénieur de données-Palantir Foundry

Position Overview We are seeking an experienced Data Engineer specializing in Palantir Foundry to join a large scale enterprise data and analytics transformation program. The successful candidate will play a key role in designing, building, and optimizing data products and pipelines within the Palantir Foundry ecosystem. Working closely with business stakeholders, data architects, analytics teams, and technology partners, this individual will help deliver scalable, reliable, and business driven data solutions that support operational excellence and data driven decision making. This position is ideal for a professional who combines strong data engineering expertise with hands on Palantir Foundry experience and a deep understanding of enterprise data platforms. Key Responsibilities Data Engineering & Solution Development Design, develop, and maintain scalable data pipelines within the Palantir Foundry platform. Build and manage data transformations, data models, Ontology objects, and business ready datasets. Integrate data from multiple enterprise systems, including ERP, operational, cloud, and third party platforms. Develop reusable and maintainable data products aligned with enterprise standards. Ensure data quality, lineage, governance, and traceability across the data ecosystem. Optimize data processing performance and platform utilization. Palantir Foundry Development Configure and develop solutions leveraging Foundry's core capabilities Support the implementation of Foundry best practices and development standards. Participate in platform enhancements and adoption initiatives. Collaborate with architects to define scalable Foundry solution patterns. Stakeholder Collaboration Work closely with business users to understand requirements and translate them into technical solutions. Collaborate with Data Architects, Data Scientists, Product Owners, and Business Analysts. Participate in Agile ceremonies and contribute to delivery planning activities. Provide technical guidance and mentoring to junior team members when required. Data Governance & Quality Implement data quality controls and validation processes. Support data governance initiatives and compliance requirements. Maintain comprehensive technical documentation and knowledge sharing artifacts. Ensure alignment with enterprise security and data management policies. Experience Required Qualifications Minimum 5 Years Of Experience In Data Engineering. Minimum 2–3 years of hands on experience working with Palantir Foundry. Proven experience delivering enterprise scale data solutions. Experience working in cloud based and distributed data environments. Experience integrating data from multiple enterprise applications and operational systems. Experience working within Agile delivery environments. Technical Skills Palantir Foundry > Strong experience with: Foundry Data Pipelines, Ontology Design and Management, Code Repositories, Workshop Applications, Data Lineage, Data Integration Frameworks, Operational Applications, Pipeline Builder, Foundry Security and Access Controls Data Engineering : Python, SQL, Spark / PySpark, ETL / ELT Development, Data Modeling, Data Warehousing Concepts, API Integrations, Git based development practices Cloud & Modern Data Platforms > Experience with one or more: Microsoft Azure. AWS, Google Cloud Platform (GCP) Knowledge of: Databricks, Snowflake, Delta Lake, Data Lake architectures is considered an asset. Certifications Required Or Strongly Preferred Palantir Foundry Developer Certification Palantir Foundry Data Engineer Certification Assets Palantir Foundry Architect Certification Microsoft Azure Data Engineer Associate (DP 203) AWS Certified Data Analytics – Specialty Databricks Data Engineer Associate or Professional Snowflake SnowPro Certification Soft Skills Strong analytical and problem solving abilities. Excellent communication and stakeholder engagement skills. Ability to translate business requirements into technical solutions. Strong collaboration and teamwork mindset. Self driven and proactive approach. Continuous improvement mindset. Ability to work effectively in large, complex enterprise environments. Preferred Industry Experience Experience in one or more of the following sectors is considered an asset: Mining and Metals, Natural Resources, Energy and Utilities Ideal Candidate Profile The ideal candidate combines deep technical expertise in data engineering with hands on experience in the Palantir Foundry platform. They are capable of delivering production grade data solutions while partnering effectively with business stakeholders and contributing to the broader data transformation journey of the organization. The candidate should demonstrate a strong understanding of enterprise data architecture, modern data engineering practices, and Palantir Foundry development standards. Your future duties and responsibilities Required Qualifications To Be Successful In This Role Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries. Come join our team—one of the largest IT and business consulting services firms in the world.

Design, develop, and optimize scalable data pipelines and products within the Palantir Foundry ecosystem. Collaborate with stakeholders to translate business requirements into technical solutions while ensuring data quality and governance.

Requires at least 5 years of data engineering experience, including 2-3 years of hands-on expertise with Palantir Foundry. Proficiency in Python, SQL, and Spark, along with experience in cloud environments and Agile delivery, is essential.

• Microsoft AzurePreferred
• SQLPreferred
• AgilePreferred
• Amazon Web ServicesPreferred
• GitPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Palantir Foundry
• Python
• SQL
• PySpark
• ETL/ELT Development
• Data Modeling
• Ontology Design
• Data Lineage
• Microsoft Azure
• AWS
• Google Cloud Platform
• Agile
• Data Governance
• API Integrations
• Git

• Data & Analytics
• Technology
• Consulting
• Software
• Engineering

Minimum experience

5+ years

Apply by

Sep 4, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Entry level

Application method

Direct apply is available