At a Glance
- Tasks: Design and optimise AWS data pipelines while enhancing BI and analytics capabilities.
- Company: Join a forward-thinking company focused on cloud-based data solutions.
- Benefits: Remote work flexibility, competitive pay, and opportunities for professional growth.
- Other info: Initial 3-month contract with potential for career advancement.
- Why this job: Be at the forefront of AI and data engineering in a dynamic environment.
- Qualifications: Strong AWS experience, advanced SQL skills, and familiarity with AI technologies.
The predicted salary is between 50000 - 65000 £ per year.
We are seeking an experienced Business Intelligence Engineer with strong AWS data engineering expertise and exposure to AI technologies to support the development of a modern cloud-based data platform.
Key responsibilities include:
- Designing and optimising AWS data pipelines
- Enhancing BI and analytics capabilities
- Contributing to data lake development
- Supporting emerging AI initiatives
Essential Skills:
- Strong AWS data engineering experience (Glue, S3, Lambda, Redshift, Athena)
- Advanced SQL
- Python for data processing and pipeline development
- Business Intelligence and analytics experience
- Exposure to APIs, Terraform and/or CI/CD practices
- AI Exposure
Required:
- Experience with AI/ML technologies, such as AWS Bedrock, Generative AI, prompt engineering, AI-enabled data products, or collaboration with Data Science teams
Desirable:
- Data lake implementation experience
- AWS AI services
- Public sector experience
- DataOps/CI-CD knowledge
Qualification details and any other experience/skills relevant to the role to help support your application should be clearly shown in your CV.
BI Engineer in London employer: Triumph Consultants Ltd
Join a forward-thinking company that values innovation and collaboration, offering a predominantly remote work environment with occasional visits to vibrant London or Swindon. We prioritise employee growth through continuous learning opportunities in cutting-edge technologies like AWS and AI, fostering a culture of support and inclusivity that empowers you to make a meaningful impact in the field of Business Intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land BI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working as BI Engineers. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS data pipelines, SQL projects, or any AI initiatives you've worked on. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common BI Engineer questions and scenarios. Practice explaining your past projects and how they relate to the role you're applying for—confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates like you who are eager to join our team.
We think you need these skills to ace BI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your AWS data engineering experience and any relevant AI exposure. We want to see how your skills match the job description, so don’t be shy about showcasing your expertise!
Showcase Your Projects:If you've worked on any cool projects involving data pipelines or AI technologies, include them! We love seeing real-world applications of your skills, so give us the details on what you did and the impact it had.
Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points for your skills and experiences to make it easy for us to see why you’re a great fit for the role. Clarity is key!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into our hands quickly. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Triumph Consultants Ltd
✨Know Your AWS Inside Out
Make sure you brush up on your AWS data engineering skills, especially with tools like Glue, S3, and Redshift. Be ready to discuss how you've used these technologies in past projects and how they can be applied to the role.
✨Show Off Your SQL Skills
Prepare to demonstrate your advanced SQL knowledge. You might be asked to solve a problem on the spot, so practice writing queries that optimise data retrieval and manipulation. Think about how your SQL skills can enhance BI and analytics capabilities.
✨Get Familiar with AI Technologies
Since AI exposure is essential for this role, make sure you can talk about any experience you have with AI/ML technologies. Whether it's AWS Bedrock or prompt engineering, be ready to share specific examples of how you've collaborated with Data Science teams.
✨Highlight Your DataOps Knowledge
If you have experience with CI/CD practices or Terraform, don’t forget to mention it! These skills are desirable, and showing that you understand DataOps will set you apart from other candidates. Prepare examples of how you've implemented these practices in previous roles.
