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- Tasks: Lead the evolution of our data platform and drive AI integration.
- Company: Join a forward-thinking company at the forefront of data and AI innovation.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with exciting career advancement potential.
- Why this job: Shape the future of data technology and make a significant impact in the industry.
- Qualifications: Experience in data management and a passion for AI technologies.
The predicted salary is between 54000 - 84000 £ per year.
1. Data platform evolution: Take our current AWS/Snowflake/S3/Postgres setup and enable AI/RAG, product consumption, and multi-tenant access. Work with the Technical Architect to keep this aligned with our event-driven and security model.
2. Data acquisition
Engineering Manager - Data & AI employer: ECA International Ltd
Contact Detail:
ECA International Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager - Data & AI
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to data platforms and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for Engineering Manager roles, especially around data platforms and AI. Practise your answers and be ready to discuss how you’d tackle challenges like multi-tenant access and security models.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about our mission. It shows initiative and helps us get to know you better right from the start.
We think you need these skills to ace Engineering Manager - Data & AI
Some tips for your application 🫡
Show Your Passion for Data & AI: When you're writing your application, let us see your enthusiasm for data and AI! Share any relevant projects or experiences that highlight your skills in these areas. We love to see candidates who are genuinely excited about the work they’ll be doing.
Tailor Your Application: Make sure to customise your application to fit the Engineering Manager role. Highlight your experience with AWS, Snowflake, and other technologies mentioned in the job description. We want to see how your background aligns with our needs!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate when candidates can communicate complex ideas simply, especially in a tech-heavy role like this one.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for both of us!
How to prepare for a job interview at ECA International Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Snowflake, S3, and Postgres. Brush up on how these technologies work together, especially in the context of AI and multi-tenant access. Being able to discuss your experience with these tools will show that you’re ready to take on the data platform evolution.
✨Understand Event-Driven Architecture
Familiarise yourself with event-driven models and how they integrate with security protocols. Be prepared to discuss how you’ve implemented or managed such architectures in previous roles. This will demonstrate your ability to align with the Technical Architect’s vision.
✨Showcase Data Acquisition Strategies
Think about your past experiences with data acquisition. Be ready to share specific examples of how you’ve successfully gathered and processed data in a way that supports product consumption. Highlight any innovative approaches you’ve taken to improve efficiency or accuracy.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current data setup and future plans. This not only shows your interest but also helps you gauge if the company aligns with your career goals. Ask about challenges they face in data management and how you can contribute.