Data Engineer DV Cleared

Bristol
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer DV Cleared

Principal Data Architect DV Cleared

Data Engineer

Data Engineer

Data Engineer

Data Engineer

About the Role I am working with a growing consultancy delivering high-impact data solutions across secure government and defence environments. Due to continued project wins, we are looking for experienced DV Cleared Data Engineers to join their team.
You will work on mission-critical programmes, designing and building scalable, secure, and high-performing data platforms in AWS environments.
Key Responsibilities
Design, build, and maintain secure data pipelines and ETL processes
Develop scalable data lake and data warehouse solutions in AWS
Implement infrastructure-as-code and CI/CD for data platforms
Optimise data workflows for performance, reliability, and cost-efficiency
Collaborate with architects, analysts, and client stakeholders
Ensure solutions meet strict security and compliance requirementsEssential Skills & Experience
Active DV Clearance (mandatory)
Strong hands-on experience with AWS data services (e.g., S3, Glue, Lambda, Redshift, EMR, RDS)
Proficiency in Python and/or Scala
Experience with SQL and data modelling
Knowledge of infrastructure as code (Terraform / CloudFormation)
Experience building production-grade data pipelines
Strong understanding of security best practices in cloud environmentsDesirable Experience
Experience working within government or defence sectors
Familiarity with DevOps and CI/CD tooling
Containerisation (Docker / Kubernetes)
Streaming technologies (Kafka / Kinesis)What We Offer
Competitive salary (£45,000 – £90,000 depending on experience)
Performance bonus
Flexible working arrangements
Private healthcare
Pension contribution
Ongoing training and AWS certifications
Opportunity to work on high-profile national programmes

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.