Data Engineer - SC Cleared

Belfast
1 month ago
Create job alert

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

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer | Various Levels | Competitive package

Data Engineer / Analytics Engineer

Data Engineer - SC Cleared

Data Engineering Manager

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.