At a Glance
- Tasks: Build and maintain secure, scalable data pipelines using cutting-edge technologies.
- Company: Join a major defence technology programme with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Work in a highly regulated environment with excellent career advancement opportunities.
- Why this job: Make a real impact in mission-critical environments while working with advanced tech.
- Qualifications: Experience with Apache NiFi, ELK stack, and data integration is essential.
The predicted salary is between 50000 - 50000 £ per year.
- Senior Data Platform Engineer – Elastic Stack / Apache Ni Fi | Defence | Bristol
- Inside IR35 | On-site
- We're supporting a major defence technology programme looking for an experienced
Senior Data Engineer to join a secure enterprise platform team.
This role is focused on building and maintaining secure, scalable data pipelines rather than traditional analytics or reporting. You'll work with technologies including
Apache Ni Fi and the
Elastic Stack (Elasticsearch, Logstash & Kibana) to deliver resilient data integration platforms supporting mission-critical environments.
You'll be involved in
- Designing and maintaining enterprise data pipelines
- Building secure data ingestion and transformation workflows
- Developing Elasticsearch, Logstash and Kibana solutions
- Monitoring and optimising high-volume data platforms
- Performance tuning and troubleshooting
- Disaster Recovery and platform resilience
- Working closely with architects and security teams within a highly regulated environment
Experience we're looking for
- Apache Ni Fi
- Elasticsearch / Logstash / Kibana (ELK)
- Data Pipelines / Data Integration
- Linux
- Python, Bash or similar scripting
- SQL
- Enterprise data platforms or observability solutions
- Experience within secure or highly regulated environments would be advantageous
- 📍 Bristol (Hybrid)
🔒 Due to the nature of the work, candidates must be eligible to obtain UK Security Clearance.
If you'd like to find out more, please get in touch for a confidential discussion.
Platform Engineer in Bristol employer: IC Resources
IC Resources is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Cirencester. With a strong commitment to employee growth, you will have access to continuous learning opportunities and the chance to work on cutting-edge projects that make a real impact in rugged hardware design. Join us to be part of a supportive team that values your expertise and encourages you to thrive in a challenging yet rewarding environment.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer in Bristol
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Platform Engineer in Bristol
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 IC Resources, 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 IC Resources. 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 IC Resources
✨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 IC Resources!
✨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.
