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# Data Engineer (Palantir Foundry Experience Required)

- **Company:** Mastek Mastek Limited
- **Location:** Reading, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Digital Assets, Apache Hive, Python (Programming Language), Machine Learning, Meta-Data Management, Software Construction, Software Deployment, SQL Databases, Data Layers, Pyspark, Git Flow, Information Technology, Data Lineage, Data Pipelines
- **Published:** September 24, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-engineer-palantir-foundry-experience-required/48177724

## About the Role

data design and pipeline behavior. Required Qualifications Bachelor's or master's degree in computer science, Engineering, Information Systems, or related field. 5+ years of experience in data engineering (or 3+ years with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. Why Join Us? We're a purpose-driven organisation committed to creating positive impact and championing inclusion. You'll join a culture that encourages innovation, collaboration, and continuous growth. We celebrate difference and believe diverse perspectives lead to stronger solutions. Even if you don't meet every requirement, - great talent comes from
a variety of backgrounds. Your lived experience, unique strengths, and personal story matter - they help us design better outcomes for the communities we serve. We celebrate diversity of experience, knowledge, backgrounds, and perspectives, and believe these differences enable us to create meaningful impact. We are proud to be an equal opportunity employer and are committed to fairness and inclusion for all, regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital or partnership status, sexual orientation, gender identity, pregnancy or related conditions, or any other protected characteristic. If you require any reasonable adjustments or additional support during the recruitment process, please let us know. #J-18808-Ljbffr

## Description

Sector.Guided by our core values of Trust, Value, and Velocity, we foster a culture of collaboration, innovation, continuous learning, and career growth. About the Role We are seeking an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build, and optimize scalable data pipelines, semantic models, and data products. In this role, you will work closely with data scientists, analysts, product teams, and business stakeholders to deliver robust, production-grade data foundations that support analytics, automation, and operational decision-making. You will play a key part in shaping our data ecosystem, ensuring reliability, performance, and long-term sustainability. 5+ years of experience in data engineering (or 3+ years with strong Foundry depth). Key Responsibilities Implement batch, incremental, and streaming ETL/ELT workflows with reusable, production-ready components. Build and maintain high-quality, version-controlled data products aligned to
business use cases. Work with federated data environments, handling diverse sources and complex integration requirements. Design, extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage tracking, and governance frameworks. Monitor pipeline performance and optimize for scalability, cost efficiency, and speed. Implement automated testing, CI/CD patterns, and deployment best practices for Foundry-based data assets. Troubleshoot production issues, ensure root-cause analysis, and drive long-term fixes. Translate ambiguous business requirements into scalable data engineering solutions. Support Foundry Workshop apps, dashboards, and end-user analytical experiences. Communicate clearly with technical and non-technical stakeholders, ensuring shared understanding of


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