Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data, test products, and support ML engineers to enhance data solutions.
- Company: RealityMine, a leader in data-driven insights for top global brands.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Join a pioneering team and make an impact with real-world data solutions.
- Qualifications: Experience with SQL and Python, plus a passion for data analysis.
The predicted salary is between 35000 - 45000 £ 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’re seeking a Data Engineer who will play a key role in supporting, analysing, testing and enhancing our behavioral data products, ensuring high quality outputs for clients and internal stakeholders.
The Role: You will sit within the Machine Learning team, helping ML engineers to deliver high-quality production models and data products through testing, analysis, validation and operational support. You’ll work across analysis, testing, validation and operational support, using SQL, Python and internal tooling to investigate issues, improve processes and deliver reliable data products. 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 a minimum of 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same!
Key Responsibilities:
- Analyse product datasets to identify trends, anomalies and opportunities for improvement.
- Perform testing and validation of new fields, logic changes and product releases.
- Investigate data quality issues and support root cause analysis with Engineering and ML teams.
- Write SQL and Python queries/scripts to interrogate data and automate checks.
- Support internal stakeholders and clients with product queries, incidents and data requests.
- Maintain clear documentation for datasets, logic, processes and known issues.
- Collaborate with Product, Engineering and Operations teams to prioritise enhancements.
- Adhere to Company Policies and Procedures with respect to Security, Quality and Health.
Data Engineer - Products employer: RealityMine
Contact Detail:
RealityMine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Products
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at RealityMine or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects using SQL and Python, make sure to highlight it. Real-world examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your data analysis and problem-solving skills. Be ready to discuss how you've tackled data quality issues or improved processes in the past. We love seeing candidates who can think critically!
✨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 our team at RealityMine.
We think you need these skills to ace Data Engineer - Products
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL and Python, and any relevant projects you've worked on. We want to see how your skills align with what we do at RealityMine!
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 Machine Learning team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled data quality issues or improved processes. We’re looking for someone who can think critically and help us deliver reliable data products.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at RealityMine
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, as well as any specific libraries or frameworks that are relevant to data engineering.
✨Understand the Company’s Mission
RealityMine focuses on delivering data-driven insights while ensuring privacy. Familiarise yourself with their products and think about how your role as a Data Engineer can contribute to their mission. This shows genuine interest and alignment with their goals.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Prepare examples where you've identified data quality issues or improved processes. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Show Your Collaborative Spirit
Since the role involves working closely with ML engineers and other teams, be ready to discuss your experience in collaborative environments. Share examples of how you've worked with cross-functional teams to deliver high-quality data products.