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.
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 London employer: Russell Tobin
Join a forward-thinking organisation that prioritises innovation and employee development, offering a dynamic work culture where your contributions to cutting-edge AI and data projects are valued. With a hybrid working model in the vibrant London or Swindon area, you will benefit from competitive daily rates and the opportunity to grow your skills in a supportive environment focused on research and technological advancement.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer | BI & AI Projects in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects, data pipelines, and any cool 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 being ready to discuss your experience with AWS Glue, Redshift, and Python. Practice common interview questions and think about how your past work aligns with their needs.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AWS Data Engineer | BI & AI Projects in London
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 data initiatives. Share specific examples of how you've contributed to similar projects in the past.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in SQL and Python. If you’ve worked with data pipelines or BI reporting, 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 that highlight your experience with Business Intelligence and AI initiatives. Talk about specific projects where you've contributed to data analytics solutions or worked with generative AI technologies.
✨Demonstrate Your SQL Skills
Since advanced SQL is a key requirement, practice writing complex queries and be prepared to solve SQL problems during the interview. This will show your technical prowess and ability to handle data effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data transformation journey and their future AI projects. This not only shows your interest but also helps you gauge if the role aligns with your career goals.
