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- Tasks: Design and optimise data pipelines using Palantir Foundry for impactful analytics solutions.
- Company: Purpose-driven organisation focused on innovation and inclusion.
- Benefits: Competitive salary, inclusive culture, and opportunities for continuous growth.
- Why this job: Make a real impact while collaborating with diverse teams on cutting-edge projects.
- Qualifications: Experience in data engineering and proficiency in Python, SQL, and cloud environments.
- Other info: We celebrate diversity and encourage applicants from all backgrounds to apply.
The predicted salary is between 28800 - 48000 £ per year.
We are seeking a highly capable Data Engineer with hands-on experience in Palantir Foundry and/or Foundry Data Platform (FDP) to design, build, and optimize scalable data pipelines and analytics solutions. The ideal candidate combines strong software engineering discipline with deep data architecture expertise and practical implementation experience within enterprise data platforms.
This role will partner closely with data scientists, analysts, product teams, and business stakeholders to deliver production-grade data products that drive operational and strategic decision-making.
Key Responsibilities- Design, develop, and maintain scalable data pipelines using Palantir Foundry (Code Repositories, Pipelines, Ontology, Workshop, etc.)
- Implement data transformations, ETL/ELT workflows, and orchestration within Foundry/FDP environments
- Develop modular, reusable data components following software engineering best practices
- Build and maintain data products aligned to business use cases
- Design robust data models and ontology structures within Foundry
- Define and maintain semantic layers for business-facing analytics
- Ensure data integrity, lineage, governance, and quality controls
- Monitor and optimize pipeline performance, cost efficiency, and scalability
- Implement testing, CI/CD practices, and deployment automation within the platform
- Troubleshoot production issues and implement sustainable fixes
- Partner with data scientists to productionize machine learning workflows
- Translate business requirements into technical data solutions
- Support dashboarding and operational applications via Foundry Workshop
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
- 3+ years (Mid-level) or 5+ years (Senior) of data engineering experience
- Hands-on experience with Palantir Foundry and/or Foundry Data Platform (FDP)
- Strong proficiency in: Python, SQL, Spark (PySpark or SparkSQL)
- Experience building production data pipelines in cloud environments (AWS, Azure, or GCP)
- Understanding of data modeling, schema design, and metadata management
- Familiarity with CI/CD and version-controlled development practices
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, we encourage you to apply — 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.
Palantir Foundry Data Engineer in Bradford employer: Mastek
Contact Detail:
Mastek Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Palantir Foundry Data Engineer in Bradford
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Palantir Foundry and data engineering concepts. Practice common interview questions and have examples ready to showcase your expertise.
✨Tip Number 3
Showcase your projects! If you've built any data pipelines or analytics solutions, be ready to talk about them in detail. Highlight the challenges you faced and how you overcame them, especially in a collaborative environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team and making an impact.
We think you need these skills to ace Palantir Foundry Data Engineer in Bradford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Palantir Foundry and data engineering. Use keywords from the job description to show we’re on the same page about what you bring to the table.
Showcase Your Projects: Include specific examples of data pipelines or analytics solutions you've built. We love seeing real-world applications of your skills, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re passionate about this role. Share your journey in data engineering and how it aligns with our mission at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at Mastek
✨Know Your Palantir Foundry Inside Out
Make sure you brush up on your knowledge of Palantir Foundry and the Foundry Data Platform. Be ready to discuss specific projects where you've designed and built data pipelines, and how you optimised them for performance and scalability.
✨Showcase Your Collaboration Skills
This role involves working closely with data scientists and business stakeholders. Prepare examples of how you've successfully collaborated in the past, translating complex technical requirements into actionable data solutions that meet business needs.
✨Demonstrate Your Technical Proficiency
Be prepared to dive deep into your technical skills, especially in Python, SQL, and Spark. You might be asked to solve a problem on the spot, so practice coding challenges related to data engineering and be ready to explain your thought process.
✨Highlight Your Problem-Solving Approach
Think of instances where you've troubleshot production issues or implemented CI/CD practices. Share your approach to identifying problems, implementing fixes, and ensuring data integrity and quality controls in your previous roles.