At a Glance
- Tasks: Design and optimise data architectures while delivering end-to-end data solutions.
- Company: Join a forward-thinking company embracing cloud technology and AI.
- Benefits: Remote work flexibility with occasional office days in London or Swindon.
- Other info: Great opportunity for career growth in a dynamic tech environment.
- Why this job: Be at the forefront of data innovation and AI integration.
- Qualifications: Experience in AWS Data Stack, SQL, Python, and DataOps is essential.
The predicted salary is between 60000 - 80000 £ per year.
We are hiring for a position that requires hands-on experience in Data Engineering, Data Warehousing, and Business Intelligence (BI) roles, with a proven track record of delivering end-to-end data solutions.
Advanced proficiency in the AWS Data Stack (Glue, S3, Lambda, Redshift, Athena) alongside expert-level SQL and Python for complex pipeline development and data processing is essential.
Practical, demonstrable experience with cloud-based AI services (such as AWS Bedrock), prompt engineering, generative AI workflows, or collaborating on Machine Learning pipelines is required.
The role involves designing, building, and optimizing modern data architectures and data lakes, while seamlessly balancing new capability development with BAU reporting and analytics support.
Practical exposure to Infrastructure as Code (IaC) tools like Terraform, API integrations, and CI/CD pipelines to support a modern DataOps framework is necessary.
Public Sector experience is highly desirable.
- AWS Data Ecosystem
- AWS Glue
- S3
- Redshift
- Lambda
- Athena
- Python
- Cloud AI Services
- AWS Bedrock
- LLMs
- Data Science
- DataOps
Business Intelligence Engineer (AWS Stack /AI Exposure / Data Science / DataOps) in Slough employer: GIOS Technology
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact our data-driven decision-making. With flexible remote working options and occasional meet-ups in vibrant locations like Swindon or London, we provide an environment that fosters professional growth through continuous learning and exposure to cutting-edge technologies in the AWS ecosystem. Our commitment to employee development and a supportive team atmosphere makes us an exceptional employer for those seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Engineer (AWS Stack /AI Exposure / Data Science / DataOps) in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with AWS and DataOps. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS Glue, Redshift, or any AI services. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with data pipelines and cloud-based solutions. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can bring their expertise in Data Engineering and Business Intelligence to our team.
We think you need these skills to ace Business Intelligence Engineer (AWS Stack /AI Exposure / Data Science / DataOps) in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with AWS Data Stack and any relevant projects you've worked on. We want to see how you can bring value to our team!
Showcase Your Projects:Include specific examples of your work in Data Engineering, Data Warehousing, and Business Intelligence. If you've designed or optimised data architectures, let us know! Real-world applications of your skills will make your application stand out.
Be Clear and Concise:When writing your cover letter, get straight to the point. Explain why you're a great fit for the role and how your experience aligns with our needs. We appreciate clarity and directness, so keep it engaging but to the point!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at GIOS Technology
✨Know Your AWS Stack Inside Out
Make sure you brush up on your knowledge of the AWS Data Stack, especially Glue, S3, Redshift, and Lambda. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Show Off Your Data Engineering Skills
Prepare to talk about your hands-on experience with data engineering and BI roles. Have specific examples ready that demonstrate your ability to deliver end-to-end data solutions, including any complex pipeline development you've done using SQL and Python.
✨Get Familiar with AI Services
Since the role involves cloud-based AI services, make sure you understand how AWS Bedrock and generative AI workflows work. Be prepared to discuss any relevant experience you have with machine learning pipelines and how you've integrated AI into your data solutions.
✨Emphasise Your DataOps Knowledge
Highlight your practical exposure to Infrastructure as Code (IaC) tools like Terraform and your experience with CI/CD pipelines. Discuss how these skills can support a modern DataOps framework and improve efficiency in data management.
