At a Glance
- Tasks: Join us as an AWS Data Engineer, designing data solutions and optimising cloud infrastructure.
- Company: Fujitsu empowers businesses with data insights, driving innovation in both public and private sectors.
- Benefits: Enjoy a long-term contract, competitive rates, and continuous learning opportunities.
- Why this job: Be part of a dynamic team that values growth, collaboration, and impactful data solutions.
- Qualifications: Proficiency in SQL, Python, and AWS tools; relevant certifications preferred.
- Other info: Embrace a culture of learning with access to diverse resources and development programs.
The predicted salary is between 36000 - 60000 £ per year.
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
AWS Data Engineer employer: Fujitsu
Contact Detail:
Fujitsu Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Familiarise yourself with AWS services relevant to the role, such as AWS Glue and S3. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with AWS. Attend meetups or webinars to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 3
Showcase your problem-solving skills by preparing for technical interviews. Practice common data engineering scenarios and be ready to discuss how you've tackled similar challenges in the past.
✨Tip Number 4
Stay updated on the latest trends in data engineering and cloud technologies. Being knowledgeable about new tools and methodologies can demonstrate your commitment to continuous learning, which is highly valued at Fujitsu.
We think you need these skills to ace AWS Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the AWS Data Engineer role. Focus on your proficiency in SQL, Python, and AWS tools like Glue and S3, as well as any relevant certifications.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of cloud technologies. Mention specific projects or experiences that demonstrate your ability to design and implement data architecture solutions.
Highlight Key Skills: In your application, emphasise your experience with data ingestion, transformation, and pipeline optimisation. Discuss your familiarity with both structured and unstructured data, as well as your problem-solving abilities.
Showcase Collaboration Experience: Since the role involves working closely with data analysts and scientists, include examples of past collaborations. Highlight how you’ve successfully delivered data solutions that meet stakeholder needs.
How to prepare for a job interview at Fujitsu
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Python, and Spark during the interview. Be prepared to discuss specific projects where you've implemented these technologies, especially in relation to AWS services like Glue and Lambda.
✨Demonstrate Problem-Solving Abilities
Prepare examples of complex data migrations or challenges you've faced in data architecture. Discuss how you approached these problems and the solutions you implemented, showcasing your analytical skills.
✨Understand the Company’s Vision
Familiarise yourself with Fujitsu's Decision Intelligence practice and their focus on empowering businesses through data. This will help you align your answers with their goals and demonstrate your genuine interest in the role.
✨Emphasise Collaboration Skills
Since the role involves working closely with data analysts and scientists, be ready to discuss your experience in collaborative environments. Share examples of how you've effectively communicated and worked with others to deliver high-quality data solutions.