At a Glance
- Tasks: Develop mission-critical data solutions and manage pipelines for national security.
- Company: Leading National Security Organisation with a focus on innovative technology.
- Benefits: Competitive salary, 6% bonus, 25 days holiday, and clearance bonus.
- Other info: Hybrid working available; excellent growth opportunities in a dynamic environment.
- Why this job: Make a real impact in national security while working with cutting-edge tech.
- Qualifications: Experience in SQL/NoSQL, ETL processing, and data integration.
The predicted salary is between 63000 - 77000 £ per year.
New Permanent Opportunity available with a leading National Security Organisation for an eDV cleared Data Engineer in Manchester. Manchester location – hybrid working when possible. Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus.
Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL.
Our client is a trusted and growing supplier to the National Security sector, delivering mission-critical solutions that help keep the nation safe, secure, and prosperous. You’ll work with cutting-edge technologies including AI/Data Science, Cyber, Cloud, DevOps/SRE, and Platform Engineering. They have long-term contracts secured across the latest customer framework and are set for significant growth.
What will the Data Engineer be Doing?
- You will develop mission-critical data solutions and manage pipelines that transform diverse data sources into valuable insights for our client’s National Security customers.
- You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data.
- Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., Ensure data consistency, quality, and security across all processes).
- Create and maintain database schemas and data models.
- Integrate and enrich data from diverse sources, maintaining data integrity.
- Maintain and enhance existing architectural components such as Data Ingest and Data Stores.
- Troubleshoot and diagnose issues within integrated (enriched) data systems.
- Collaborate with the scrum team to decompose user requirements into epics and stories.
- Monitor system performance and implement updates to maintain optimal operation.
The Data Engineer Should Have:
- Willingness to work full-time on-site in Manchester when required.
- SQL and noSQL databases (e.g. ETL processing languages such as Groovy, Python or Java).
IT Data Architect in Manchester 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 IT Data Architect in Manchester
✨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!
✨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 IT Data Architect at Searchability NS&D.
✨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 Searchability NS&D.
✨Apply Directly through Our Website
When you find a suitable opening like IT Data Architect at Searchability NS&D, 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 IT Data Architect in Manchester
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.
