Palantir Data Engineer Job at Airswift Sweden

Palantir Data Engineer

We are seeking an experienced Palantir Data Engineer to support large-scale tran...

Location

Romania

Salary:

Not provided

Airswift Sweden

Expiration Date

Until further notice

Requirements

Proven experience with Palantir and Spark in large transformation projects
Strong background in data engineering, data modelling, and data quality
Proficiency with Git and automated testing frameworks
Familiarity with data catalogue tools

Job Responsibility

Design and implement data pipelines within Palantir and Spark environments
Develop and maintain data models, catalogues, and quality frameworks
Collaborate on workshops and AIP Logic initiatives (Agentic AI advantageous)
Integrate automated testing and version control (Git) into workflows
Support ontology development and chatbot integration
Contribute to front-end applications using React and TypeScript

Fulltime

Graduate Data Engineer

As a Graduate Data Engineer, you will build and maintain scalable data pipelines...

Location

United Kingdom , Marlow

Salary:

Not provided

SRG

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, Mathematics, or similar, or similar work experience
Up to 2 years of experience building data pipelines at work or through internships
Can write clear and reliable Python/PySpark code
Familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud)
Deep understanding of data models, relational and non-relational databases, and how they are used to organize, store, and retrieve data efficiently for analytics and machine learning
Knowledge about software engineering methods, including DevOps, DataOps, or MLOps is a plus
Master's degree in engineering (such as AI/ML, Data Systems, Computer Science, Mathematics, Biotechnology, Physics), or minimum 2 years of relevant technology experience
Experience with Generative AI (GenAI) and agentic systems will be considered a strong plus
Have a proactive and adaptable mindset: willing to take initiative, learn new skills, and contribute to different aspects of a project as needed to drive solutions from start to finish, even beyond the formal job description
Show a strong ability to thrive in situations of ambiguity, taking initiative to create clarity for yourself and the team, and proactively driving progress even when details are uncertain or evolving

Job Responsibility

Build and maintain data pipelines, leveraging PySpark and/or Typescript within Foundry, to transform raw data into reliable, usable datasets
Assist in preparing and optimizing data pipelines to support machine learning and AI model development, ensuring datasets are clean, well-structured, and readily usable by Data Science teams
Support the integration and management of feature engineering processes and model outputs into Foundry's data ecosystem, helping enable scalable deployment and monitoring of AI/ML solutions
Engaged in gathering and translating stakeholder requirements for key data models and reporting, with a focus on Palantir Foundry workflows and tools
Participate in developing and refining dashboards and reports in Foundry to visualize key metrics and insights
Collaborate with Product, Engineering, and GTM teams to align data architecture and solutions, learning to support scalable, self-serve analytics across the organization
Have some prompt engineering experience with large language models, including writing and evaluating complex multi-step prompts
Continuously develop your understanding of the company's data landscape, including Palantir Foundry's ontology-driven approach and best practices for data management

Senior Palantir Foundry Engineer

We are seeking an experienced Palantir Foundry Engineer to join our Corporate Te...

Location

United States , San Jose

Salary:

133400.00 - 200000.00 USD / Year

Archer Aviation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience
6–8 years of experience in data engineering, analytics engineering, or application development
2–4 years hands-on experience with Palantir Foundry in an enterprise setting
Strong proficiency in Python, PySpark, and SQL for data transformations
Experience designing and maintaining Foundry Ontology models and object relationships
Hands-on experience with Workshop, Code Repositories, Pipeline Builder, and transformation frameworks
Understanding of data engineering fundamentals: data quality, governance, testing, logging, monitoring
Experience with Git-based version control and modern CI/CD practices
Ability to explain architectural decisions clearly to both technical and non-technical stakeholders
Strong problem-solving and system design skills

Job Responsibility

Design and develop data pipelines using Foundry’s Code Repositories, Pipeline Builder, and Transformations
Create scalable and well-structured Ontologies, including upstream object modeling, relationships, and governance patterns
Build user-facing applications and workflows using Workshop, Slate/UI tooling, and Foundry’s Action Framework
Drive architectural decisions around ontology design, feature pipelines, data lineage, permissioning, and semantic modeling
Collaborate with business teams to translate requirements into Foundry-native solutions
Optimize existing pipelines for performance, reliability, and operational maintainability
Implement data quality rules, monitoring frameworks, and operational alerting within Foundry
Participate in code reviews and establish engineering standards for Foundry development
Mentor team members and help establish best practices for Foundry development across the organization
Partner with platform engineering teams (as needed) on access controls, repository strategy, and workspace organization

Fulltime

Data Engineer / Scientist

As a Data Engineer/Scientist at Actica, you will have the opportunity to design,...

Location

United Kingdom , London; Guildford; Bristol; M4 corridor

Salary:

Not provided

Actica Consulting

Expiration Date

Until further notice

Requirements

Coding expertise in Python or R
Collaborative, team-based development
Cloud analytics platforms e.g. relevant AWS and Azure platform services
Hands on experience with Palantir ESSENTIAL
Data science approaches and tooling e.g. Hadoop, Spark
Data engineering approaches
Database management, e.g. MySQL, Postgres
Software development methods and techniques e.g. Agile methods such as SCRUM
Software change management, notably familiarity with git
Public sector best practice guidance, e.g. ITIL, OGC toolkit

Job Responsibility

Design, implement, and maintain scalable data pipelines and ETL processes
Develop and maintain data warehouses and data lakes
Implement data quality monitoring and validation systems
Create and maintain data documentation and cataloguing systems
Optimize data storage and retrieval systems
Implement data security and governance frameworks
Build and maintain data APIs and services
Translate business problems into data queries and solutions
Develop and deploy machine learning models
Create advanced analytics solutions

What we offer

25 days of paid leave per annum plus 8 UK bank holidays
Discretionary, Performance-Based Bonus Scheme
Enrolment in Stakeholder Pension Scheme
Cycle To Work Scheme
Employee Assistance Programme
Electric Vehicle Leasing Scheme
Private Medical Insurance

Fulltime

Senior Data Engineer

We are looking for a foundational member of the Data Team to enable Skydio to ma...

Location

United States , San Mateo

Salary:

170000.00 - 230000.00 USD / Year

Skydio

Expiration Date

Until further notice

Requirements

5+ years of professional experience
2+ years in software engineering
2+ years in data engineering with a bias towards getting your hands dirty
Deep experience with Databricks or Palantir Foundry, including building pipelines, managing datasets, and developing dashboards or analytical applications
Proven track record of operating scalable data platforms, defining company-wide patterns that ensure reliability, performance, and cost effectiveness
Proficiency in SQL and at least one modern programming language (for example, Python or Java)
Strong communication skills, with the ability to collaborate effectively across all levels and functions
Demonstrated ability to lead technical direction, mentor teammates, and promote engineering excellence and best practices across the organization
Familiarity with AI-assisted data workflows, including tools that accelerate data transformations or enable natural-language interfaces for analytics

Job Responsibility

Design and scale the data infrastructure that ingests live telemetry from tens of thousands of autonomous drones
Build and evolve our Databricks and Palantir Foundry environments
Develop data systems that make our products truly data-driven
Create and integrate AI-powered tools for data analysis, transformation, and pipeline generation
Champion a data-driven culture by defining and enforcing best practices for data quality, lineage, and governance
Collaborate with autonomy, manufacturing, and operations teams to unify how data flows across the company
Lead and mentor data engineers, analysts, and stakeholders across Skydio
Ensure platform reliability by implementing robust monitoring, observability, and contributing to the on-call rotation for critical data systems

What we offer

Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
Group health insurance plans
Paid vacation time
Sick leave
Holiday pay
401K savings plan

Fulltime

Data Engineer

Location

India , Bangalore

Salary:

Not provided

avisbudgetgroup

Expiration Date

Until further notice

Requirements

Experience: 3-5 Years
Proficiency with fundamental front-end languages such as HTML, CSS, MySQL, Oracle, MongoDB, and JavaScript preferred
Proficiency with server-side languages for structured data processing
Python, Py Spark, Java, Apache Spark, and Spark SQL preferred

Job Responsibility

Developing back-end code logic that leverages semantic object linking (ontologies) within Palantir Foundry Pipeline Builder, Code Workbook, and Ontology Manager
Creating servers, databases, and datasets for functionality as needed
Ensuring health of data connections and pipelines (utilizing filesystem, JDBC, SFTP, and webhook)
Ensuring conformance with security protocols and markings on sensitive data sets
Ensuring responsiveness of web applications developed on low code/no code solutions
Ensuring cross-platform optimization for mobile phones
Seeing through projects from conception to finished product
Meeting both technical and customer needs
Staying abreast of developments in web applications and programming languages

Fulltime

Senior Software Engineer, Data Platform

We are looking for a foundational member of the Data Team to enable Skydio to ma...

Location

United States , San Mateo

Salary:

180000.00 - 240000.00 USD / Year

Skydio

Expiration Date

Until further notice

Requirements

5+ years of professional experience
2+ years in software engineering
2+ years in data engineering with a bias towards getting your hands dirty
Deep experience with Databricks building pipelines, managing datasets, and developing dashboards or analytical applications
Proven track record of operating scalable data platforms, defining company-wide patterns that ensure reliability, performance, and cost effectiveness
Proficiency in SQL and at least one modern programming language (we use Python)
Comfort working across the full data stack — from ingestion and transformation to orchestration and visualization
Strong communication skills, with the ability to collaborate effectively across all levels and functions
Demonstrated ability to lead technical direction, mentor teammates, and promote engineering excellence and best practices across the organization
Familiarity with AI-assisted data workflows, including tools that accelerate data transformations or enable natural-language interfaces for analytics

Job Responsibility

Design and scale the data infrastructure that ingests live telemetry from tens of thousands of autonomous drones
Build and evolve our Databricks and Palantir Foundry environments to empower every Skydian to query data, define jobs, and build dashboards
Develop data systems that make our products truly data-driven — from predictive analytics that anticipate hardware failures, to 3D connectivity mapping, to in-depth flight telemetry analysis
Create and integrate AI-powered tools for data analysis, transformation, and pipeline generation
Champion a data-driven culture by defining and enforcing best practices for data quality, lineage, and governance
Collaborate with autonomy, manufacturing, and operations teams to unify how data flows across the company
Lead and mentor data engineers, analysts, and stakeholders across Skydio
Ensure platform reliability by implementing robust monitoring, observability, and contributing to the on-call rotation for critical data systems

What we offer

Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
Paid vacation time
Sick leave
Holiday pay
401K savings plan

Fulltime

Forward Deployed Software Engineer – Palantir Foundry

We’re seeking a Forward Deployed Software Engineer (FDSE) with deep expertise in...

Location

United States

Salary:

Not provided

Inabia Solutions & Consulting

Expiration Date

Until further notice

Requirements

Proficiency in Java/Python, TypeScript/React, and Palantir Foundry (Ontology, Pipelines, AIP)
Hands-on experience with AWS (EMR, Athena, S3), Spark, and backend frameworks (Spring Boot)
5+ years in software/data engineering, with 2+ years deploying Palantir Foundry in production
Degree in Computer Science, Data Engineering, or related field
Ability to dissect ambiguous challenges and architect scalable solutions under tight deadlines
Strong communication to align technical teams and executives on vision, trade-offs, and results
Curiosity to learn new tools (e.g., Palantir’s AIP) and adapt to evolving client needs

Job Responsibility

Partner with clients to translate business needs into technical architectures using Palantir Foundry (Ontology, Slate, Workshop, AIP)
Build end-to-end applications—ETL pipelines (Spark/PySpark), microservices (Java/Python), and intuitive front-ends (React, TypeScript)
Optimize AWS workflows (S3, Glue, Lambda, EMR) and implement AI/LLM-driven solutions where applicable
Iterate on solutions in agile environments, balancing scalability with immediate client needs
Ensure robust deployments via CI/CD (Docker, Kubernetes), security compliance, and performance tuning
Mentor stakeholders, drive adoption, and deliver clear ROI through data-driven workflows

Fulltime

Palantir Data Engineer

Airswift Sweden

Location:
Romania

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 29, 2026

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Palantir Data Engineer

Airswift Sweden

Location:Romania

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:January 29, 2026

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Romania

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Job Posted:
January 29, 2026