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- Tasks: Join a dynamic team to deploy cloud tools and build data pipelines.
- Company: Be part of a retail bank transforming its data landscape.
- Benefits: Enjoy hybrid working, competitive salary, and bonus opportunities.
- Other info: This role is based in Manchester; no VISA sponsorship available.
- Why this job: Work with cutting-edge technology and make a real impact in data transformation.
- Qualifications: Proficiency in Python, SQL, AWS, Azure, and data visualisation tools required.
The predicted salary is between 75000 - 85000 £ per year.
Hybrid Working - 2 days p/w in office (Manchester, M2 3JL)
Pays £75k-£85k
Oliver Bernard have partnered with a retail bank undergoing a data transformation. You'll be joining their core Data team and be responsible for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines.
Key Skills and Experience:
- Python
- SQL
- Tableau, Power BI
- Terraform
- AWS, Azure
This role is hybrid working from their offices in Manchester, M2 3JL (3 days p/w). VISA sponsorship is not available for this role. Budget is £75k-£85k + benefits including bonus.
2 stage interview process - 1st stage call with manager, final stage with team.
Data Engineer - MLOps employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - MLOps
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, SQL, AWS, and Azure. Having hands-on experience or projects that showcase your skills in these areas will give you a significant edge during the interview.
✨Tip Number 2
Prepare to discuss your experience with MLOps and data pipelines. Be ready to share examples of how you've deployed tooling through cloud platforms and any challenges you've faced in previous roles, as this will demonstrate your problem-solving abilities.
✨Tip Number 3
Research the retail bank's current data transformation initiatives. Understanding their goals and how your role as a Data/MLOps Engineer can contribute will show your genuine interest in the position and help you stand out during the interview.
✨Tip Number 4
Practice common interview questions related to data engineering and MLOps. This includes technical questions as well as behavioural ones, so you can effectively communicate your skills and experiences while also showcasing your teamwork and collaboration abilities.
We think you need these skills to ace Data Engineer - MLOps
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, AWS, and Azure. Use specific examples of projects where you've deployed tooling or built pipelines to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background in data engineering aligns with their data transformation goals and your familiarity with MLOps.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used (like Terraform or Tableau), and the impact of your work on the project outcomes.
Prepare for Interviews: Research common interview questions for Data/MLOps Engineer roles. Be ready to discuss your technical skills and provide examples of how you've solved problems in previous positions, especially in cloud environments.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, SQL, and cloud platforms like AWS and Azure. Be prepared to discuss specific projects where you've used these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Data Transformation Goals
Research the retail bank's current data initiatives and be ready to discuss how your skills can contribute to their transformation. This shows that you are genuinely interested in the role and understand its importance.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, particularly in deploying tooling or building pipelines.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and their future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.