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- Tasks: Build and support innovative data infrastructure using cutting-edge AWS technologies.
- Company: RealityMine, a pioneer in data-driven insights for top global brands.
- Benefits: Generous time off, competitive salary, and hybrid working model.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Join a dynamic team tackling complex data challenges and making a real impact.
- Qualifications: 3+ years Python experience, AWS knowledge, and a positive can-do attitude.
The predicted salary is between 50000 - 60000 £ per year.
RealityMine has been a pioneer in delivering data driven insights to the world's largest brands for over a decade. Our platform provides unique data solutions to our clients enabling them to make strategic, informed decisions powered by data from real people, collected in a privacy safe way. As we continue to expand, we are seeking a Data Platform Engineer who will play a key role in building and supporting our internal data infrastructure.
Our offices are in Trafford Park, Manchester and the role consists of hybrid working, where we ask for our team to be in the office for collaboration and team building 2 days per week. Your primary responsibilities will involve performing DevOps, backend and cloud development on the data infrastructure to develop innovative solutions to effectively scale and maintain the data platform. You will tackle complex data challenges in a fast-paced, exciting environment, leveraging cutting-edge Amazon Web Services (AWS) technologies such as Lambda, SageMaker and Bedrock to develop innovative and scalable data solutions.
After a suitable settling in period, you will also join our out of hours on call team, for which you will receive additional compensation. Proactively identify opportunities to improve the data platform, including the performance, architecture and design, and take ownership of the implementation.
- Continually review, measure and monitor the performance of the data platform and evaluate improvements in design, architecture and tooling.
- Design, architect and build internal data platform tooling to enable best practice development and delivery of our data products.
- Contribute to technical discovery by working with stakeholders to clarify problems, challenge assumptions and shape defined requirements before implementation.
- Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety.
3+ years of professional Python development experience as a Data Platform Engineer, using AWS.
- Experience developing and deploying Serverless technologies, provisioning Apache Airflow, and using infrastructure as code such as AWS CloudFormation or Terraform.
- The ability to be flexible and agile, ready to adapt to changes when things don’t go to plan.
- Knowledge of agile software development best practices including continuous integration, automated testing and working with software engineering requirements and specifications.
- Good interpersonal skills, positive can-do attitude and willing to help other members of the team.
- Understanding of Apache Spark, Apache Trino or other big data and machine learning systems.
- Exposure to using AI tools to enhance productivity and quality of coding, reviews and documentation.
Generous Time Off: Enjoy 25 days of paid holiday, plus
Data Platform Engineer - Remote employer: RealityMine
Contact Detail:
RealityMine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer - Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 or GitHub repository showcasing your projects, especially those using AWS and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s data platform. Be ready to discuss how you can tackle their specific challenges and improve their infrastructure.
✨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 - Remote
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 projects that showcase your skills in building and supporting data infrastructure.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data solutions and how your background aligns with our mission at RealityMine. Be sure to mention specific technologies like AWS Lambda or Apache Airflow.
Show Off Your Problem-Solving Skills: In your application, don’t just list your skills—give examples of how you've tackled complex data challenges in the past. We love seeing how you’ve used innovative solutions to improve data platforms!
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 shows you’re keen on joining our team!
How to prepare for a job interview at RealityMine
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS services like Lambda and SageMaker. Brush up on your Python skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data platform engineering. Think of examples where you identified performance issues or improved architecture, and be ready to explain your thought process and the outcomes.
✨Emphasise Team Collaboration
Since the role involves hybrid working and collaboration, highlight your experience working in teams. Share examples of how you’ve contributed to team success and how you adapt to different working environments.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data platform and future projects. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.