At a Glance
- Tasks: Design and build scalable data applications using Python in a secure environment.
- Company: Leading technology consultancy focused on mission-critical digital capabilities.
- Benefits: Competitive salary up to £90k, bonus, and opportunities for professional growth.
- Other info: Hands-on role with excellent career advancement in a secure sector.
- Why this job: Join a dynamic team and make an impact in Defence with cutting-edge data solutions.
- Qualifications: Strong Python skills and experience with data pipelines and modern processing technologies.
The predicted salary is between 60000 - 80000 £ per year.
Location: Portsmouth customer site – 3 days p/week on site
Salary: Up to £90k DoE plus bonus
Clearance: Active SC (British passport required)
We’re working with a leading technology consultancy delivering secure, mission critical digital capabilities across Secure Sector programmes. They’re looking for an experienced Databricks Data Engineer to design and build scalable, resilient data applications that support operational users, analytics platforms, and AI-enabled capabilities.
This is a hands-on technical role sitting at the intersection of Software Engineering and Data Engineering, focused on building secure, production-grade data services that operate reliably within highly governed Defence environments.
What you’ll be doing:
- Building scalable data applications and pipelines using Python
- Developing streaming, event-driven and orchestrated data solutions
- Deploying and supporting containerised services in Kubernetes environments
- Implementing observability, monitoring and data governance best practices
- Leveraging Infrastructure as Code and CI/CD for secure deployments
- Owning solutions from design and development through to production support
- Delivering resilient data platforms within secure Defence environments
What we’re looking for:
- Strong Python development and software engineering experience
- Experience building scalable data pipelines and distributed data platforms
- Knowledge of Kafka, Spark and modern data processing technologies
- Experience with orchestration tools such as Airflow, Dagster or Prefect
- Hands-on experience with Docker, Kubernetes and containerised deployments
- CI/CD experience with a focus on production ownership and reliability
- Understanding of data quality, testing and lineage best practices
Desirable skills:
- MLOps or production machine learning experience
- Terraform, Ansible or other Infrastructure as Code tools
- PostgreSQL and modern data platforms
- Experience within Defence, National Security or regulated environments
- Familiarity with air-gapped, restricted or secure networks
- Knowledge of Google Distributed Cloud (GDC) or edge cloud technologies
Security Clearance:
Due to the nature of the work, candidates must hold an active SC Clearance and be a British passport holder.
Locations
Senior Data Engineer in Hampshire, Portsmouth employer: Searchability NS&D
Join a leading technology consultancy in Portsmouth, where you'll be part of a dynamic team dedicated to delivering secure, mission-critical digital solutions. With a strong focus on employee growth and a collaborative work culture, we offer competitive salaries, bonuses, and the opportunity to work on innovative projects within the Defence sector. Our commitment to professional development ensures that you will continually enhance your skills while contributing to impactful data engineering initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Hampshire, Portsmouth
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We think you need these skills to ace Senior Data Engineer in Hampshire, Portsmouth
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.
