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- Tasks: Tackle complex data challenges and improve our data platform using AWS technologies.
- Company: Join RealityMine, a pioneer in data-driven insights for top global brands.
- Benefits: Enjoy hybrid working, competitive pay, and additional compensation for on-call hours.
- Why this job: Make a real impact by developing innovative data solutions in a fast-paced environment.
- Qualifications: Strong programming skills in Python and AWS, with a passion for problem-solving.
- Other info: Collaborative culture with opportunities for continuous learning and career growth.
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. The ideal candidate will have strong programming and DevOps skills, expertise in Python and AWS, and a passion for debugging and improving data processes. This role requires collaborative problem-solving, a keen attention to detail, and the ability to translate complex business requirements into robust data solutions.
The Role: 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. RealityMine has an out of hours on-call team (additional compensation is made for on call hours) that you will be asked to join after a suitable settling in period. 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. The rest of the week is up to you; deep focus at home, or more of the same!
Key Responsibilities:
- Proactively identify opportunities to improve the data platform, including the performance, architecture and design, and take ownership of the implementation.
- Continually review and measure the performance of the data platform and evaluate improvements in design, architecture and tooling.
- Become a subject matter expert for the data platform and supporting processes, actively sharing knowledge and contributing to our culture of continuous learning and development.
- Regularly reviewing colleagues’ work and providing helpful feedback.
- Contribute to technical discovery by working with stakeholders to clarify problems, challenge assumptions and shape defined requirements before implementation.
- Take ownership of production systems, independently investigating issues, identifying root causes and driving them through to resolution.
- Writing application code and tests that conform to standards, with a focus on scalability.
- Adhering to Company Policies and Procedures with respect to Security, Quality and Health.
Data Platform Engineer employer: RealityMine
Contact Detail:
RealityMine 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 people in the industry, attend meetups, and connect with current employees at RealityMine. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python and AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Expect to tackle real-world data challenges during the interview process, so practice coding problems and think about how you’d improve data processes.
✨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, it shows you’re genuinely interested in joining the RealityMine team!
We think you need these skills to ace Data Platform Engineer
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your programming and DevOps skills. We want to see your expertise in Python and AWS shine through, so don’t hold back on showcasing your projects or experiences that demonstrate these abilities.
Tailor Your Application: Take a moment to read the job description carefully and tailor your application accordingly. We love it when candidates connect their experiences to the specific responsibilities and requirements we’ve outlined. It shows us you’re genuinely interested in the role!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary and avoid jargon unless it’s relevant to the role. Remember, clarity is key!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy to do!
How to prepare for a job interview at RealityMine
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python and AWS. Be ready to discuss specific projects where you've used these technologies, and think about how you can apply them to improve data processes at RealityMine.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data challenges you've tackled in the past. Highlight your collaborative approach to problem-solving and how you’ve worked with stakeholders to clarify requirements and deliver robust solutions.
✨Demonstrate Attention to Detail
RealityMine values precision, so be prepared to discuss how you ensure quality in your work. Bring examples of how you've reviewed and improved data architecture or performance in previous roles, and how you provide constructive feedback to colleagues.
✨Embrace Continuous Learning
Express your passion for learning and development. Talk about any recent courses or certifications you've completed, especially related to AWS or data engineering, and how you plan to keep up with industry trends to contribute to the team’s growth.