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

Nominate & Attend

AWS Data Engineer

Sydenham, City of Belfast
2 days 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

Related Jobs

View all jobs

AWS Data Engineer

Senior Data Engineer

Senior Data Engineer - Snowflake - £100,000

Snowflake Data Engineer

Senior Data Engineer_London_Hybrid

Senior Data Architect

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.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.