SC Cleared Data Engineer – Data Migration (AWS) - Outside IR35

Farringdon, Greater London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer - SC Cleared

Data Engineer - SC Cleared - Inside IR35 - 3 days Stratford

Data Engineer – SC Cleared - AWS - Inside IR35

Data Engineer – AWS – SC Cleared

Data Engineer - SC Cleared

Data Engineer

SC Cleared Data Engineer – Data Migration (AWS / PostgreSQL / NoSQL)

Rate: Up to £500/day (Outside IR35)
Contract Length: Initial contract (extension possible)
Location: Remote (UK-based)
Clearance: Active SC clearance required
Start: ASAP

We are supporting a consultancy delivering a secure data migration programme and are looking for an experienced SC Cleared Data Engineer to support the migration of legacy data into a new cloud-based architecture.

The role focuses on migrating XML-based data into modern database platforms, supporting a case management system, and working within an AWS environment. This is a hands-on engineering role requiring strong data transformation, mapping and scripting experience.

Key Responsibilities
Design and build data migration and transformation pipelines
Migrate XML-based data into PostgreSQL and NoSQL databases
Perform detailed data mapping from source to target schemas
Develop and maintain data processing scripts using Python
Work closely with Data Architects to implement target-state designs
Ensure data quality, integrity and consistency throughout migration
Support testing, validation and reconciliation activities
Operate within secure and regulated delivery environmentsEssential Experience
Proven experience as a Data Engineer on data migration projects
Strong Python development experience for data processing
Hands-on experience with PostgreSQL and NoSQL databases
Experience migrating or transforming XML-based data
AWS cloud experience
Strong data mapping and validation skills
Experience working in secure or regulated environments
Active SC clearance is essentialDesirable Experience
Experience working with case management platforms (e.g. Appian)
Public sector or government programme experienceThis is an excellent opportunity to work on a remote, Outside IR35 contract delivering a high-impact data migration programme.

If you meet the above requirements and are available for an immediate start, please get in touch for further details.

ChatGPT can make mistakes. Check important info

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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.