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- Tasks: Design AI-driven features and transform ETL processes while mentoring the team.
- Company: Source Global Research, a leader in data engineering and AI solutions.
- Benefits: Hybrid work environment, enhanced pension contributions, and professional development opportunities.
- Other info: Exciting opportunity to grow your skills in a supportive environment.
- Why this job: Join a dynamic team and shape the future of AI infrastructure.
- Qualifications: 4+ years in Data Engineering, AI/ML experience, and proficiency in Python and PostgreSQL.
The predicted salary is between 50000 - 70000 £ per year.
Source Global Research is looking for a Data Engineer specialist to maintain and evolve data infrastructure during the Lead Data Engineer's paternity leave. This role involves designing AI-driven features, transforming ETL processes, and providing mentorship to the team.
Required qualifications include:
- 4+ years in Data Engineering with experience in AI/ML
- Proficiency in Python and PostgreSQL
- Hands-on skills with Apache Spark
The position offers a hybrid work environment, enhanced pension contributions, and professional development opportunities.
AI Data Engineer — Build AI Pipelines & Vector Infra in London employer: Source Global Research
Contact Detail:
Source Global Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Engineer — Build AI Pipelines & Vector Infra in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AI and ML. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PostgreSQL, and Apache Spark. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing AI-driven features or transforming ETL processes—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Data Engineer — Build AI Pipelines & Vector Infra in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Engineering, especially with AI/ML. We want to see how your skills in Python, PostgreSQL, and Apache Spark align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how you can contribute to our team during this exciting time. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any cool projects related to AI pipelines or ETL processes, make sure to mention them! We love seeing practical examples of your work and how you've tackled challenges.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Source Global Research
✨Know Your Tech Stack
Make sure you’re well-versed in Python, PostgreSQL, and Apache Spark. Brush up on your knowledge of these technologies, as you’ll likely be asked to discuss your experience with them in detail. Prepare examples of how you've used these tools in past projects.
✨Showcase Your AI/ML Experience
Since the role involves designing AI-driven features, be ready to talk about your previous work in AI and machine learning. Highlight specific projects where you’ve implemented AI solutions and the impact they had on the data infrastructure.
✨Prepare for ETL Process Questions
Expect questions around transforming ETL processes. Think about challenges you’ve faced in this area and how you overcame them. Be prepared to discuss your approach to optimising data pipelines and ensuring data quality.
✨Mentorship Mindset
As mentorship is part of the role, be ready to share your thoughts on team collaboration and leadership. Think of examples where you’ve guided others or contributed to a team’s success. This will show that you’re not just a tech whiz but also a team player.