National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

AWS Data Engineer

Experis - ManpowerGroup
Belfast
1 day ago
Create job alert

Role: Data Engineer
Location: Belfast
Duration: Long Term Contract Opportunity - Rolling Contract
Rate: Market Rates - Inside IR35
Job Description : Fujitsu's Decision Intelligence practice in the UK helps organisations bridge the gap between data and insights, empowering businesses to make smarter decisions, optimise operations, and drive innovation. From AI-powered analytics to data governance and security, we offer a comprehensive suite of services to help our Public and Private Sector customers unlock the full potential of their data.
Job Summary : We are seeking a skilled and experienced AWS Data Engineer to join our team. The successful candidate will be responsible for implementing, and managing data architecture solutions for our customers, with a strong emphasis on Cloud technologies (Preferably AWS) and tooling. This role requires understanding of data modelling, database design, and data integration techniques.
Key Responsibilities
Data Ingestion and Extraction: Design and implement efficient data ingestion pipelines to and from databases and file storage services.
Data Transformation and Cleaning: Transform and clean raw data to ensure data quality and consistency.
Data Pipelines: Build, maintain, and optimise data pipelines to automate data flows and enable real-time data processing.
Data Quality Assurance: Monitor data quality and implement measures to ensure data accuracy and completeness.
Database Administration: Manage and maintain databases (e.g., SQL, NoSQL) to ensure optimal performance and security.
Cloud Infrastructure: Deploy and manage data infrastructure on cloud platforms - Primarily AWS
Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand their data needs and deliver high-quality data solutions.
Key Skills
Strong proficiency in SQL, Python, and Spark. Experience with metadata-driven ETL/ELT.
Experience with AWS Glue, Databrew, S3, AWS Lambda, PostgreSQL, Quicksight
Version Control (Gitlab) and CI/CD
Familiar with security and networking principles, especially in an AWS deployment.
Understanding and experience handling both structured and unstructured data.
AWS focused with working experience and/or relevant certifications such as AWS Certified Data Engineer.
Experience with complex data migrations.
Strong problem-solving and analytical skills.
Excellent communication and collaboration skills.
Understanding of Infrastructure as Code
Understanding of GIS data models
About you
At Fujitsu our people are our number one priority. We are passionate about developing you to your full potential, so you can perform every day at your best to deliver our vision to our customers. Learning and growing is at the heart of what we do. We recognise learning is a continuous process not an event. It doesn't just happen in the classroom, but every day, in the flow of work.
At Fujitsu we encourage you to challenge yourself and to shape your learning journey in a way that works best for you. You won't be alone in your journey, or short of opportunities to learn. We have a whole host of different tools, resources, and programs to help you achieve this. We've got you covered with everything from technical learning to management development, business skills to our award-winning talent programs.

#J-18808-Ljbffr

Related Jobs

View all jobs

AWS Data Engineer

AWS Data Engineer

AWS Data Engineer

AWS Data Engineer

AWS Data Engineer

AWS Data Engineer

National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.