At a Glance
- Tasks: Design and develop scalable data solutions using Palantir Foundry, integrating diverse data sources.
- Company: Leading secure sector consultancy with a strong Palantir Data team.
- Benefits: Competitive salary, professional development, and opportunities to work on mission-focused programmes.
- Other info: Join an Agile team and enjoy excellent career growth in a dynamic environment.
- Why this job: Make a real impact by transforming data into actionable insights for national security.
- Qualifications: Experience in data engineering, ETL, and proficiency in Python or TypeScript.
The predicted salary is between 60750 - 74250 £ per year.
New Permanent Opportunity for a Security Cleared Palantir Foundry Data Engineer. Our client is a leading secure sector consultancy with a firmly established Palantir Data team. They work on complex, mission-focused programmes, using Palantir platforms to transform disparate data into trusted information assets, operational capabilities and actionable insights.
What will the Data Engineer be doing?
- You’ll be responsible for designing, developing and deploying scalable data solutions across the Palantir Foundry ecosystem, working closely with technical teams and client stakeholders.
- The role will involve building data pipelines and models, integrating diverse data sources, and supporting applications across the Palantir stack.
- Building and optimising ETL/data pipelines within Palantir Foundry.
- Ingesting, transforming and enriching batch, streaming, real-time and unstructured data.
- Developing logical and physical data models and Foundry Ontologies.
- Designing scalable and high-performance Foundry architectures.
- Implementing data governance, quality, metadata and lineage processes.
- Optimising and troubleshooting pipelines for performance, reliability and scalability.
- Developing reusable solutions using Python and/or TypeScript.
- Building and maintaining military workflows in Palantir Gotham.
- Working within Agile teams and contributing across the full SDLC, version control and CI/CD.
Strong commercial experience with Palantir Foundry, data engineering experience across ETL, pipelines and workflow orchestration, strong understanding of data modelling, Ontology design and database optimisation, experience working with varied data sources and formats, proficiency in Python and/or TypeScript, understanding of CI/CD, Git and software development lifecycle practices, knowledge of data governance, security, metadata, lineage and master data.
Data Engineer (SQL/Python/AWS) in Cheltenham employer: Searchability NS&D
As a leading organisation in cyber security and technology transformation, our client offers an exceptional work environment in London, where you can engage with high-impact Defence and National Security programmes. With a strong focus on professional development, flexible working arrangements, and the opportunity to collaborate with seasoned experts, this role promises not only career progression but also the chance to tackle complex challenges that make a real difference in securing sensitive environments.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (SQL/Python/AWS) in Cheltenham
✨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 Searchability NS&D!
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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 Data Engineer (SQL/Python/AWS) at Searchability NS&D.
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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 Searchability NS&D.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Engineer (SQL/Python/AWS) in Cheltenham
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 Searchability NS&D, 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 Searchability NS&D. 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 Searchability NS&D
✨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 Searchability NS&D!
✨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.
