At a Glance
- Tasks: Build and maintain data solutions using Palantir Foundry and Python.
- Company: Join a leading tech firm focused on innovative data engineering.
- Benefits: Competitive salary, flexible hours, remote work options, and growth opportunities.
- Other info: Dynamic team environment with opportunities for professional development.
- Why this job: Make an impact by transforming data into actionable insights with cutting-edge technology.
- Qualifications: Experience in Python, PySpark, and data processing is essential.
The predicted salary is between 60000 - 80000 £ per year.
Your responsibilities
- Build and maintain Palantir Foundry ontologies, pipelines, and applications.
- Design and develop scalable ETL/data engineering solutions using Python and Py Spark.
- Integrate and transform data from multiple enterprise data sources.
- Optimize Spark-based data processing and workflow performance.
- Collaborate with business stakeholders to deliver analytics and AI-ready data products.
Your Profile
- Working with Foundry Ontology, pipelines, and modular applications.
- Implementing End to End data Solutions in Palantir sourcing data from
- Programming & Scripting (Python and Py Spark)
- Data Processing & Automation: Ability to clean, transform, and process large datasets efficiently.
- Integration with Palantir Foundry: Build custom Python functions and libraries to extend Foundry’s capabilities.
- Pipeline Development: Write modular, reusable code for ETL workflows and data transformations.
- Performance Optimization: Use Python libraries like Pandas, Num Py, and Py Spark for scalable data operations.
- Familiarity with SQL for querying and data modeling. – Good to have
- Building ETL pipelines for ingestion and transformation.
- Designing data models and optimizing workflows.
- Handling structured and unstructured data.
- Experience with Spark (Py Spark) for scalable data processing.
- Understanding of parallel computing and performance tuning.
- #J-18808-Ljbffr
Palantir Foundry Data Engineer / Palantir Developer in London employer: Gazelle Global
Join a leading organisation at the forefront of cyber security transformation in London, where you will play a pivotal role in delivering critical initiatives. Our collaborative work culture fosters innovation and growth, offering ample opportunities for professional development and advancement within a dynamic environment. With competitive rates and a commitment to employee well-being, we ensure that our team members thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Palantir Foundry Data Engineer / Palantir Developer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Gazelle Global!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Palantir Foundry Data Engineer / Palantir Developer at Gazelle Global.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Gazelle Global.
✨Apply Directly through Our Website
When you find a suitable opening like Palantir Foundry Data Engineer / Palantir Developer at Gazelle Global, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Palantir Foundry Data Engineer / Palantir Developer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Gazelle Global, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Gazelle Global. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Gazelle Global
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Gazelle Global!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
