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- Tasks: Enhance our data platform and build innovative cloud-native solutions using AWS.
- Company: Dynamic tech and market research company based in Greater 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 in Manchester employer: Maxwell Bond
Contact Detail:
Maxwell Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer in Manchester
✨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. Practise common interview questions related to data platforms and be ready to discuss your past experiences.
✨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 genuinely interested in joining our team!
We think you need these skills to ace Data Platform Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Platform Engineer role. Highlight your experience with Python, AWS, and any relevant tools like Apache Airflow. We want to see how your skills match 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 platforms and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool projects related to data engineering or cloud solutions, make sure to mention them! We’re interested in seeing how you’ve tackled challenges and what technologies you’ve used. It’s all about demonstrating your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
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 Airflow. Brush up on your knowledge of cloud-native solutions and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering and how you tackled them. Use examples that highlight your ability to work with large datasets and your collaborative approach to solving complex problems.
✨Understand the Company’s Needs
Research the company’s current data platform and any recent projects they’ve undertaken. This will help you tailor your answers to show how you can proactively improve their data architecture and design.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and their approach to cloud security. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.