At a Glance
- Tasks: Build and optimise AWS data pipelines for exciting AI projects.
- Company: Join a leading organisation in research and innovation.
- Benefits: Competitive daily rate, hybrid work, and potential for extension.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Be part of a transformative journey in data and AI.
- Qualifications: Experience with AWS tools, SQL, and data engineering.
The predicted salary is between 45000 - 50000 £ per year.
Initial 3 months (strong extension potential) | Hybrid (London or Swindon Area) £450 - £500 per day Umbrella
We're working with a highly regarded organisation within the research and innovation sector that is investing heavily in its data platform and future AI capabilities. They are seeking an experienced Business Intelligence Engineer / AWS Data Engineer to support the development of a modern cloud-based data platform while contributing to exciting AI and Generative AI initiatives.
What You'll Be Doing
- Building and optimising AWS data pipelines
- Supporting BI reporting and analytics solutions
- Contributing to data lake and modern data platform development
- Developing scalable ETL/ELT processes
- Working on AI-enabled data initiatives and emerging technologies
- Improving data quality, governance, and platform performance
Key Skills Required
- AWS Glue, Redshift, Athena, Lambda, and S3
- Advanced SQL
- Python
- Data Engineering and Data Warehousing
- Business Intelligence / Analytics experience
- Exposure to Generative AI, AI services, or machine learning workflows
Nice to Have
- AWS Bedrock
- Terraform
- APIs
- CI/CD
- DataOps practices
This is an excellent opportunity to join a forward-thinking organisation at an exciting stage of its data and AI transformation journey.
AWS Data Engineer | BI & AI Projects in Slough employer: Russell Tobin
Join a forward-thinking organisation at the forefront of research and innovation, where your contributions as an AWS Data Engineer will directly impact the development of cutting-edge data platforms and AI initiatives. With a strong emphasis on employee growth, a collaborative work culture, and the flexibility of a hybrid working model in vibrant locations like London or Swindon, this role offers not just a job, but a meaningful career path in a dynamic environment that values innovation and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer | BI & AI Projects in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects, data pipelines, and any AI initiatives you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in BI and AI. Be ready to discuss how you've tackled challenges in past projects and how you can contribute to their data transformation journey.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AWS Data Engineer | BI & AI Projects in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS tools like Glue, Redshift, and Lambda. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about working on AI and BI projects. Share specific examples of how you've contributed to similar initiatives in the past.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in SQL and Python. If you’ve worked with data lakes or ETL processes, let us know! We love seeing candidates who can hit the ground running.
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 this exciting opportunity in our data transformation journey!
How to prepare for a job interview at Russell Tobin
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services like Glue, Redshift, and Lambda. Be ready to discuss how you've used these tools in past projects, especially in building data pipelines or optimising data platforms.
✨Showcase Your BI and AI Experience
Prepare examples of your work with Business Intelligence and AI initiatives. Highlight any specific projects where you contributed to data lake development or worked on AI-enabled solutions, as this will resonate well with the interviewers.
✨Demonstrate Your SQL and Python Skills
Expect technical questions that test your SQL and Python abilities. Practise writing queries and scripts that could solve common data engineering problems, as hands-on skills are crucial for this role.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about their data transformation journey or the technologies they plan to adopt. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
