Careers
Associate Palantir Foundry Data Engineer
Our entry role: you learn Foundry on live client projects, paired with senior engineers, working towards certification.
About Ainur Insights
Ainur Insights builds on Palantir Foundry and AIP for large organisations: one model of the business across the systems they already run, with workflows, agents and decisions in production, handed over to the client’s own team.
Role overview
We’re looking for an Associate Data Engineer to start their career specialising in Palantir Foundry. This role suits recent graduates or anyone with up to a year of experience. You’ll work alongside experienced engineers and with clients on real data projects, with mentoring and structured learning throughout.
Key responsibilities
Data pipeline support
- Help build and maintain data pipelines in Foundry under supervision
- Support data ingestion from various sources using Pipeline Builder
- Assist with data transformations in Python and SQL
- Contribute to data quality checks and validation
Platform development
- Learn Foundry’s core components, including ontology objects and functions
- Help build simple applications and workflows
- Assist with reporting and visualisation in Foundry’s analysis tools
- Maintain documentation and code repositories
Client support
- Support client implementations with guidance from senior engineers
- Help with data discovery and requirements gathering
- Assist with client training and user onboarding
- Help prepare technical documentation and user guides
Learning & development
- Complete a structured onboarding and Foundry training programme
- Learn data engineering best practices from senior engineers
- Attend client meetings and workshops to learn how engagements run
- Earn Palantir Foundry certifications with company support
Required qualifications
Experience & education
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Data Science or a related field
- 0–1 years of professional experience in data engineering, software development or similar
- Academic, internship or personal projects showing data manipulation and analysis skills
- Solid grounding in programming and data structures
Technical skills
- Required: basic Python and/or SQL
- Required: understanding of core data engineering concepts and ETL
- Required: familiarity with relational databases and data modelling
- Basic knowledge of the software development lifecycle and Git
- Awareness of AWS, Azure or GCP is helpful but not required
- Exposure to big data tools or processing frameworks is a plus
Professional skills
- Strong analytical and problem-solving skills and a willingness to learn
- Good communication and teamwork
- Picks up new technologies quickly
- Attention to detail and care for data quality
- Fluent English; other European languages are a plus
Preferred qualifications
- Internship or project experience in data analysis or engineering
- Any exposure to Palantir Foundry
- Basic data visualisation skills
- Basic PySpark
- Understanding of agile methods
- Interest in client work
- Coursework in statistics, machine learning or data science
What we offer
Compensation
- Competitive starting salary
- Performance-based reviews and advancement
- Health insurance and pension contributions
- Retirement contributions in line with local regulations
Professional development
- Mentorship from experienced Foundry engineers
- Sponsored Foundry certification training and exam fees
- Learning budget for courses and conferences
- Clear path from associate to mid-level data engineer
- Work on live client projects from the start
Work-life balance
- Flexible remote work with hybrid office options
- At least 25 days of annual leave
- Employee assistance and wellness programmes
- A small team that works closely together
Learning & growth
From day one, you’ll learn by doing: working on live client projects, pairing with senior engineers, and building toward Foundry certification. As your skills grow, you’ll take on more responsibility for pipelines, applications and client work, with a clear route to a mid-level role.
Why start your career with Ainur Insights?
You specialise in Foundry from the start, learn from engineers who have run large Foundry programmes, and work on client projects across Europe in your first months.
Apply now
Send your CV and a cover letter explaining your interest in data engineering and Palantir Foundry. Include any academic, internship or personal projects that show your skills. Professional experience isn’t essential; we’re looking for curiosity, analytical thinking and eagerness to learn. Apply using the form, or email info@ainurinsights.com.