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- Tasks: Enhance data platforms and develop innovative cloud-native solutions using AWS.
- Company: Dynamic tech and market research company in Greater Manchester.
- Benefits: Up to £60K salary, hybrid work, 25 days holiday, and life assurance.
- Other info: Exciting career growth opportunities in a supportive environment.
- Why this job: Join a collaborative team and make a real impact on data engineering.
- Qualifications: 3+ years Python experience with AWS and strong DevOps skills.
The predicted salary is between 60000 - 60000 £ per year.
We have teamed up with a Manchester based technology and market research company who are looking for a Data Platform Engineer to join their growing team!
As their Data Platform Engineer, you will be involved in performing DevOps, backend and cloud development across their data infrastructure to develop innovative solutions that effectively scale and maintain the platform.
What you'll do as a Data Platform Engineer:
- Proactively identify opportunities to improve the data platform, including performance, architecture and design, and take ownership of implementation.
- Design, architect and build internal platform tooling to support best-practice development and delivery of data products.
- Develop scalable cloud-native solutions using AWS technologies.
- Build and maintain backend services and infrastructure using Python.
- Work with Apache Spark and Apache Airflow for data orchestration pipelines.
- Implement infrastructure as code using Terraform and/or AWS CloudFormation.
Requirements:
- 3+ years of professional Python engineering experience focused on AWS-based data platforms.
- Strong experience with DevOps, cloud engineering and running production data platforms.
- Experience with CI/CD pipelines, automated testing and agile software development practices.
- Exposure to AI-assisted development tools to enhance coding, reviews, productivity and documentation.
Salary up to 60K, Hybrid working (2 days a week onsite), 25 days holiday + bank holidays, Life assurance and workplace pension, + much more!
If you are a passionate Data Platform Engineer and you want to develop your career in a collaborative environment, then this is the right opportunity for you - apply today!
Senior Engineer, Data Engineering in Manchester employer: Maxwell Bond
Contact Detail:
Maxwell Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Python, and data orchestration. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s tech stack. Be ready to discuss how you've used tools like Terraform and Apache Spark in your previous roles.
✨Tip Number 4
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for tailored opportunities that match your skills as a Data Platform Engineer!
We think you need these skills to ace Senior Engineer, Data Engineering in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Platform Engineer. Highlight your experience with AWS, Python, and any relevant DevOps practices. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical examples of your work, especially those involving cloud-native solutions and data orchestration.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Maxwell Bond
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Python, and tools like Apache Spark and Airflow. Brush up on your knowledge of DevOps practices and infrastructure as code using Terraform or CloudFormation, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've identified opportunities to improve data platforms or implemented innovative solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact on previous projects.
✨Understand Agile and CI/CD
Since the role involves agile software development and CI/CD pipelines, be ready to talk about your experience with these methodologies. Share how you’ve contributed to automated testing and deployment processes in past roles, as this will demonstrate your fit for the team’s workflow.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current challenges with the data platform or how they envision the future of their data products. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.