Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data pipelines, transforming raw data into high-quality formats.
- Company: Leading tech and consulting firm driving digital transformation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on innovative data projects across diverse industries.
- Qualifications: 4+ years in data engineering, strong Python and SQL skills, Palantir Foundry experience.
- Other info: Collaborative environment with mentorship opportunities and exposure to cutting-edge technologies.
The predicted salary is between 36000 - 60000 £ per year.
Location: London, UK (Hybrid 2-3 days)
Are you passionate about building scalable data platforms and driving digital transformation through analytics? A leading provider of digital and automation solutions in the technology and consulting industry is seeking a Data Engineer to join its growing team in London. In this role, you’ll design, build, and maintain robust data pipelines across hybrid cloud environments (AWS & Azure), supporting projects for a global enterprise with diverse business interests — spanning energy, infrastructure, automotive, and more.
What You’ll Do
- Design, develop, and maintain reliable data pipelines and architectures.
- Integrate and transform raw data from multiple sources into usable, high-quality formats.
- Ensure the stability, scalability, and governance of existing data applications.
- Collaborate with data scientists, analysts, and consultants on dynamic analytics projects.
- Lead or support technical aspects of Proof of Concept (PoC) initiatives.
- Mentor junior engineers and contribute to DataOps best practices.
- Enhance platform performance with CI/CD, version control, and data orchestration tools.
What You’ll Bring
Essential skills and experience:
- Minimum 4 years’ experience in a data engineering or similar technical role.
- Strong proficiency with Python and SQL.
- Palantir Foundry experience ideally up to and at/around 2+ years.
- Hands-on experience with Airflow or equivalent orchestration frameworks.
- Solid understanding of data warehouses, data lakes, and integration tools.
- Proficiency with AWS and Azure cloud ecosystems.
- Experience building and debugging back-end servers, APIs, and data applications.
- Knowledge of data modelling, mining, and unstructured data processing.
- Familiarity with Git and CI/CD principles for code deployment and version control.
- STEM degree (BSc or MSc) and excellent written and spoken English.
Desirable extras:
- Familiarity with dbt, Power BI, or Streamlit.
- Experience with vector databases, web scraping, or Agile methodologies.
- Basic understanding of AI and ML integrations within data platforms.
- Exposure to project management responsibilities or multilingual environments.
Why Apply
This is an excellent opportunity to work on cutting-edge data transformation projects across multiple sectors while advancing your technical expertise in a collaborative, forward-thinking environment.
Please apply with your latest CV showing all relevant experience, and email your CV with salary expectations, availability to interview and start working to marina.economidou@templeton-recruitment.com.
Dr Marina Economidou, Executive Solutions Consultant
Data Engineer with Palantir Foundry -- Digital Products/Applications / Automation & Analytics in London employer: Templeton & Partners - Innovative & Inclusive Hiring Solutions
Contact Detail:
Templeton & Partners - Innovative & Inclusive Hiring Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer with Palantir Foundry -- Digital Products/Applications / Automation & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Palantir Foundry, Python, and SQL. We want to see what you can do, so make it easy for potential employers to see your expertise.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. We recommend practising common data engineering scenarios and being ready to discuss your experience with AWS, Azure, and CI/CD principles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer with Palantir Foundry -- Digital Products/Applications / Automation & Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Palantir Foundry, Python, and SQL, as these are key skills we're looking for. Use specific examples that showcase your achievements in data engineering.
Showcase Your Projects: Include any relevant projects you've worked on, especially those involving data pipelines or cloud environments like AWS and Azure. This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Keep It Clear and Concise: When writing your application, keep it clear and concise. Avoid jargon unless it's relevant to the role. We appreciate straightforward communication that gets to the point without fluff.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. Make sure to include your salary expectations and availability to interview, as this helps us move things along quickly!
How to prepare for a job interview at Templeton & Partners - Innovative & Inclusive Hiring Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and Palantir Foundry. Brush up on your knowledge of AWS and Azure as well, since they’re crucial for the role.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and maintained data pipelines. Highlight your experience with Airflow or similar tools, and be ready to explain how you’ve tackled challenges in previous roles.
✨Collaboration is Key
Since the role involves working with data scientists and analysts, think of examples that demonstrate your teamwork skills. Be prepared to talk about how you’ve collaborated on analytics projects and supported junior engineers.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s projects and culture. Inquire about their approach to DataOps or how they integrate AI and ML into their platforms to demonstrate your enthusiasm.
