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For Companies At a Glance
- Tasks: Design and optimise data infrastructure for intelligent systems across industries.
- Company: Global consultancy with a focus on innovative digital solutions.
- Benefits: Competitive salary, professional growth, and diverse project engagement.
- Why this job: Collaborate with Fortune 500 clients and make an impact in the data world.
- Qualifications: Strong SQL and Python skills, plus experience in AI/ML data pipelines.
- Other info: Exciting opportunities for career advancement in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A global consultancy is seeking a Data Engineer to join their Commercial Digital practice in Belfast. In this role, you will design, build, and optimize essential data infrastructure, ensuring it powers intelligent systems across various industries.
Expected qualifications include strong skills in SQL and Python, plus experience in developing data pipelines for AI/ML applications. You will collaborate directly with Fortune 500 clients to understand and translate their data needs into effective technical solutions.
This position offers opportunities for professional growth and engagement in diverse data projects.
Data Engineer: ML Pipelines & Lakehouse Specialist in Belfast employer: Huron
Contact Detail:
Huron Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: ML Pipelines & Lakehouse Specialist in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working as Data Engineers. 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 SQL and Python projects, especially those related to AI/ML. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Tailor your approach! When applying through our website, make sure to highlight your experience with data pipelines and how you've solved real-world problems. Customising your application can make a huge difference.
✨Tip Number 4
Stay updated! Follow trends in data engineering and AI/ML. Being knowledgeable about the latest tools and technologies will not only help in interviews but also show your passion for the field.
We think you need these skills to ace Data Engineer: ML Pipelines & Lakehouse Specialist in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and Python skills, as well as any experience with data pipelines for AI/ML applications. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how you can contribute to our team. Remember to mention your experience working with clients and translating their data needs into solutions.
Showcase Your Projects: If you've worked on any interesting data projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to design and optimise data infrastructure.
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 the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Huron
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've developed data pipelines for AI/ML applications, as this will show your practical experience and technical prowess.
✨Understand the Business Context
Research the consultancy and their Fortune 500 clients. Understand their industries and how data infrastructure can impact their operations. This knowledge will help you tailor your answers and demonstrate that you can translate data needs into effective solutions.
✨Prepare for Technical Questions
Expect to face technical questions or even a coding challenge during the interview. Practice common data engineering problems and be prepared to explain your thought process clearly. This will showcase your problem-solving skills and ability to think on your feet.
✨Showcase Your Collaboration Skills
Since you'll be working directly with clients, highlight your experience in collaborative environments. Share examples of how you've worked with cross-functional teams to deliver successful data projects, emphasising your communication skills and adaptability.
