At a Glance
- Tasks: Enhance data pipeline integrity using AI and ensure platform stability.
- Company: Leading data integration platform based in Manchester.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in the data world.
- Qualifications: Strong data engineering and AI experience, plus Java or JavaScript skills.
- Other info: Exciting role with a focus on innovation and collaboration.
The predicted salary is between 44000 - 66000 £ per year.
A leading data integration platform in Manchester is seeking a Quality Engineer to join the Platform Stability team. This hybrid role emphasizes the use of AI for enhancing data pipeline integrity and productivity. Ideal for candidates with strong data engineering and AI experience, as well as proficiency in Java or JavaScript.
The position offers a competitive salary, ranging from £44,000 to £66,000, depending on experience and qualifications.
AI-First Quality Engineer — Data Platforms in Manchester employer: Matillion
Contact Detail:
Matillion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-First Quality Engineer — Data Platforms in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give us insights and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your AI and data engineering expertise. We want to see how you tackle real-world problems, so make it shine!
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on Java or JavaScript. We recommend mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI-First Quality Engineer — Data Platforms in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering and AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the AI-First Quality Engineer role and how your background makes you a perfect fit for our Platform Stability team.
Showcase Your Technical Skills: Since this role requires proficiency in Java or JavaScript, make sure to mention any relevant experience you have with these languages. We love seeing specific examples of how you've used them in past projects!
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’s super easy!
How to prepare for a job interview at Matillion
✨Know Your AI and Data Engineering Stuff
Make sure you brush up on your knowledge of AI applications in data engineering. Be ready to discuss how you've used AI to enhance data pipeline integrity in past projects. This will show that you understand the role's focus and can contribute effectively.
✨Java or JavaScript Proficiency
Since the job requires proficiency in Java or JavaScript, be prepared to showcase your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures in your preferred language to demonstrate your expertise.
✨Understand the Company’s Platform
Research the company’s data integration platform thoroughly. Familiarise yourself with their products, services, and any recent developments. This will not only help you answer questions but also allow you to ask insightful questions, showing your genuine interest in the role.
✨Prepare for Behavioural Questions
Expect behavioural questions that assess your teamwork and problem-solving skills. Use the STAR method (Situation, Task, Action, Result) to structure your answers. Think of specific examples from your experience where you successfully tackled challenges in a team setting.