Palantir Data Engineer
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Job description
As a Palantir Data Engineer, you will join a highly regarded digital, data, and technology consultancy recognised for delivering exceptional outcomes across public sector, healthcare, defence, and commercial environments. Our client has built a strong industry reputation for solving complex, large-scale data challenges, with recognition for engineering excellence, collaborative delivery, and long-term client impact.
Our client is known for its people-first culture, investment in technical capability, and commitment to continuous improvement. Engineers are trusted to work on some of the most complex data platforms in the UK, delivering high-impact solutions that support critical decision-making in demanding production environments.
As a Palantir Data Engineer, you will join a consultancy where advanced analytics and deep engineering capability combine to deliver real-world outcomes. The Palantir Data Engineer role offers the opportunity to work on complex programmes that transform how organisations process, persist, and act on data at scale.
The Role - Palantir Data Engineer
The Palantir Data Engineer position is a hands-on, delivery-focused role within multi-skilled agile teams. As a Palantir Data Engineer, you will design and develop data processing and data persistence components for large-scale production systems, working closely with architects, engineers, and client stakeholders.
The Palantir Data Engineer will take responsibility for significant technical components, contribute to design decisions, and help shape engineering best practice across delivery teams. This role suits experienced engineers who enjoy operating in complex environments and influencing high-quality technical delivery.
You'll have the opportunity to:
- Deliver large-scale data processing solutions as a Palantir Data Engineer
- Design, build, and deploy data platforms operating in demanding production environments
- Work collaboratively within agile delivery teams across complex programmes
- Apply strong data engineering and software engineering principles at scale
- Influence technical standards, patterns, and best practice
- Mentor and coach junior Palantir Data Engineers, * Design, develop, test, and deploy data processing software across the full development lifecycle
- Build and maintain robust data pipelines and data persistence layers
- Ensure solutions meet non-functional requirements including performance, scalability, and resilience
- Collaborate with architects and engineers to resolve complex technical challenges
- Maintain high standards of code quality, testability, and maintainability
- Work closely with operations teams to ensure operational readiness
- Advise on technical effort, delivery approach, and design implications
- Support and mentor other Palantir Data Engineers within delivery teams, * Join a consultancy recognised for engineering excellence and quality delivery
- Work on high-impact programmes across public sector, healthcare, defence, and commercial domains
- Develop your career as a Palantir Data Engineer in a supportive, high-performance environment
- Benefit from strong learning, mentoring, and progression opportunities
- Be part of a collaborative, inclusive, and ambitious engineering culture, Product Manager - Data & Data Science Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now. Remote (UK) Up to £90,000 + Benefits About the Company Our client is an award-winning search..., Datacenter People are currently supporting a specialist energy & digital infrastructure advisory practice in the appointment of a Principal Power Systems Engineer to help lead complex grid and substation mandates across Europe and wider international markets. The following...
Requirements
- Proven experience as a Palantir Data Engineer, Data Engineer, or similar role
- Strong software development experience in Python, Java, or Scala
- Experience with cloud data platforms such as AWS, Azure, GCP, or Databricks
- Proficiency in SQL, including analytical query extensions
- Strong understanding of ETL / ELT pipelines and data engineering patterns
- Experience delivering large-scale data processing systems into production
- Experience writing testable code and implementing automated testing
- Familiarity with CI/CD practices and modern software delivery
You'll Gain Exposure With:
- Performance tuning and optimisation
- Data visualisation and complex data transformations
- Streaming and event-driven architectures (Kafka, CDC technologies)
- Continuous improvement and contribution to data engineering best practice
Benefits & conditions
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