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- Tasks: Enhance our data platform and build cloud-native solutions using AWS.
- Company: Dynamic tech and market research company based in Manchester.
- Benefits: Up to 60K salary, hybrid work, 25 days holiday, and life assurance.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a growing team and make a real impact on data-driven projects.
- Qualifications: 3+ years Python experience with AWS and strong DevOps skills.
The predicted salary is between 60000 - 60000 £ per year.
We are a Manchester-based technology and market research company looking for a Data Platform Engineer to join our growing team!
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.
- Manage IAM setups and contribute to cloud security best practices.
- Collaborate closely with engineering, product and operations teams to align on scope and deliverables.
Key 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.
- Hands‑on experience provisioning and managing Apache Airflow.
- Experience with CI/CD pipelines, automated testing and agile software development practices.
- Comfortable working with large and complex datasets while breaking down challenging technical problems collaboratively.
- Exposure to AI‑assisted development tools to enhance coding, reviews, productivity and documentation.
Benefits:
- Salary up to 60K
- Hybrid working (2 days a week onsite)
- 25 days holiday + bank holidays
- Life assurance and workplace pension
- + much more!
Data Platform Engineer employer: Maxwell Bond
Contact Detail:
Maxwell Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Python, and data orchestration. This gives potential employers a taste of what you can do beyond just a CV.
✨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 tackled challenges in past roles, especially with cloud-native solutions and CI/CD pipelines.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, AWS, and data platforms. We want to see how your skills align with what we’re looking for, 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 Platform Engineer role and how your background makes you a perfect fit. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you’ve worked on any cool projects involving Apache Spark, Airflow, or cloud-native solutions, make sure to mention them. We’re keen to see how you’ve tackled challenges and contributed to previous teams.
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 – just a few clicks and you’re done!
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 Apache tools. Brush up on your knowledge of Terraform and CI/CD pipelines, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around data platforms. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you proactively identified and solved problems.
✨Demonstrate Collaboration
Since the role involves working closely with various teams, be ready to share examples of successful collaborations. Talk about how you’ve aligned with product and operations teams in the past to deliver projects effectively.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company and the role. Inquire about their current data platform challenges 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.