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- Tasks: Build and maintain robust data applications and services in a dynamic environment.
- Company: Leading data engineering firm based in Manchester with a focus on innovation.
- Benefits: Flexible working arrangements and comprehensive benefits package.
- Why this job: Join a skilled team and work on exciting cloud projects with AWS and Azure.
- Qualifications: Experience in Python, CI/CD deployment, and data storage/processing knowledge.
- Other info: Agile work culture with opportunities for professional growth.
The predicted salary is between 28800 - 48000 £ per year.
A leading data engineering firm in Manchester is looking for a Data Engineer to build and maintain robust data applications and services. You will work in an agile environment, collaborating with skilled consultants on various projects involving cloud platforms like AWS and Azure.
Candidates should have experience in:
- Object-oriented programming with Python
- Deployment using CI/CD
- A solid understanding of data storage and processing
This role offers flexible working arrangements and comprehensive benefits.
Data Engineer — DataOps, Cloud Data Pipelines in Manchester employer: BJSS
Contact Detail:
BJSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer — DataOps, Cloud Data Pipelines in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with cloud platforms like AWS and Azure. 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 projects, especially those involving Python and CI/CD deployment. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering questions and be ready to discuss your experience with data storage and processing. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. Plus, it’s a great way to stay updated on new roles that match your skills.
We think you need these skills to ace Data Engineer — DataOps, Cloud Data Pipelines in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, CI/CD, and cloud platforms like AWS and Azure. We want to see how your skills match 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 your background makes you a great fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any data applications or services, make sure to mention them in your application. We love seeing real examples of your work, especially if they involve cloud data pipelines or agile methodologies.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at BJSS
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS and Azure. Brush up on your Python skills and be ready to discuss your experience with object-oriented programming. It’s a great way to show you’re the right fit for their data applications.
✨Showcase Your CI/CD Knowledge
Since deployment using CI/CD is crucial for this role, prepare to talk about your past experiences with continuous integration and delivery. Bring examples of how you’ve implemented these practices in previous projects, as it’ll demonstrate your hands-on expertise.
✨Understand Agile Methodologies
Familiarise yourself with agile principles and be prepared to discuss how you’ve worked in agile environments before. Highlight any specific methodologies you’ve used, like Scrum or Kanban, to show that you can adapt to their collaborative work style.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data projects and team dynamics. This not only shows your interest but also gives you a chance to assess if the company culture aligns with your values, especially regarding flexible working arrangements.
