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- Tasks: Evolve data approaches and implement MLOps while collaborating with clients.
- Company: Innovative data insight solutions provider in Manchester.
- Benefits: Competitive salary, excellent benefits, and hybrid work model.
- Why this job: Make a real impact in the social housing sector with your data skills.
- Qualifications: Honours degree, AWS certification, and strong data engineering background.
- Other info: Join a collaborative team focused on delivering impactful data solutions.
The predicted salary is between 43200 - 72000 £ per year.
A data insight solutions provider is seeking a Senior Data Engineer to join their innovative team in Manchester. This hybrid position offers a competitive salary plus excellent benefits.
The candidate will work on evolving data approaches, implementing MLOps, and liaising with clients.
Required qualifications include an honours degree and AWS certification, with a strong background in data engineering essential.
Join a collaborative team focused on delivering impactful data solutions for the social housing sector.
Senior Data Engineer - AI & MLOps, Hybrid (Manchester) employer: Mobysoft
Contact Detail:
Mobysoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - AI & MLOps, Hybrid (Manchester)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your MLOps knowledge. We should be ready to discuss how we can implement innovative data solutions that align with the company's goals.
✨Tip Number 3
Showcase our passion for data engineering! During interviews, share specific examples of past projects where we made a significant impact. This will help us stand out as a candidate who truly cares.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in being part of the team.
We think you need these skills to ace Senior Data Engineer - AI & MLOps, Hybrid (Manchester)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and MLOps. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data solutions and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your AWS Skills: Since AWS certification is a must-have, make sure to highlight your experience with AWS in both your CV and cover letter. We’re keen to know how you’ve used AWS in past projects and how it can benefit our innovative team.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Mobysoft
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with data pipelines, ETL processes, and any tools you've used. This will show that you have a solid foundation and can hit the ground running.
✨Showcase Your MLOps Knowledge
Since this role involves implementing MLOps, be prepared to talk about your experience with machine learning models and deployment strategies. Bring examples of how you've successfully integrated ML into data workflows in the past.
✨Familiarise Yourself with AWS
As AWS certification is a requirement, ensure you can discuss your experience with AWS services relevant to data engineering. Highlight specific projects where you've utilised AWS tools to solve data challenges, as this will demonstrate your hands-on expertise.
✨Understand the Social Housing Sector
Research the social housing sector and think about how data solutions can impact it. Being able to discuss industry-specific challenges and how your skills can help address them will set you apart from other candidates.
