Searchability NS&D
Senior Data Engineer

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Location: Portsmouth customer site – 3 days p/week on site
Salary: Up to £90k DoE plus bonus
Clearance: Active SC (British passport required)
To apply, email: henry.clay-davies@searchability.com
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:
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- 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


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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.
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