Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer - SC Cleared

Belfast
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer Data Science/Java/Python/Unix

Data Engineer - DataOps

Machine Learning Engineer

Data Scientist - Engineer Data Engineering · London, UK · Hybrid

Data Science Engineer (Apprentice)

AI Engineer - Data/MLOps

Data Engineer - SC Cleared

Location - Northern Ireland (Belfast) If based in the UK candidates must be willing to frequently travel to Northern Ireland.

Contract - 6 Months

Day rate - £500 (Inside IR35)

Your responsibilities in the role

Design and implement efficient data ingestion pipelines to and from databases and file storage services.
Transform data from source to target to ensure data quality and consistency, based in agreed specifications.
Build, maintain and optimise data pipelines to automate data flows and enable real time data processing.
Monitor data quality and implement measures to ensure data accuracy and completeness.
Manage and maintain databases to ensure optimal performance and security.
Deploy and manage data infrastructure on cloud platforms - primarily AWS
Work closely with data analysts, data scientists, and other stakeholders to understand their data needs and deliver high-quality data solutions.

Skills and Experience

AWS focused, Ideally a AWS Certified Data Engineer.
SQL, Python, and Spark and experience with metadata-driven ETL/ELT.
AWS Glue, Databrew, S3, AWS Lambda, PostgreSQL, Quicksight.
Version Control (Gitlab), CI/CD and IaC.
Familiar with security and networking principles, especially in AWS deployment.
Experience and understanding of handling both structured and unstructured data.
Complex data migrations.
Strong problem-solving analytical skills.
Excellent communication and collaboration skills.
Understanding of GIS data models.

Further information is required upon application

ECS Recruitment Group Ltd is acting as an Employment Business in relation to this vacancy

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

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 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.