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- Tasks: Transform raw data into high-quality datasets using SQL and Python.
- Company: RealityMine, a leader in behavioural data products.
- Benefits: Hybrid working, collaborative culture, and opportunities for professional growth.
- Other info: Work on exciting client-facing data products in a supportive environment.
- Why this job: Join a dynamic team and work with cutting-edge AI tools on impactful projects.
- Qualifications: Strong SQL skills and experience with large datasets; Python knowledge preferred.
The predicted salary is between 40000 - 50000 ÂŁ per year.
We are looking for a contract Data Products Engineer to support the development and evolution of RealityMine’s behavioural data products.
The Role:
You will work within the Data Products team and take responsibility for turning raw signals from our capture technologies into well defined, high quality datasets. On a day to day basis you will use SQL, Python and our internal tooling (including AI assisted tools) to define schemas, apply business logic, enforce quality checks and deliver client ready data feeds. The role is based in Trafford Park, Manchester, with a hybrid working arrangement requiring two days per week in the office for collaboration.
Key Responsibilities:
- Design and evolve data product schemas and fields, turning product requirements into well‑modelled datasets.
- Build and maintain data feeds using our AI-assisted internal tools, plus SQL/Python where needed.
- Monitor and improve data quality with checks, diagnostics and investigations across large datasets.
- Collaborate with Product, Data Engineering, Apps and ML teams to deliver new features and improvements.
- Keep documentation for your products and processes clear, up to date and useful.
- Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety.
About You:
Here’s what we’re looking for: We are looking for someone who enjoys working closely with data and is interested in representing real world digital behaviour in a clean and reliable way.
You must have:
- Strong SQL skills and experience working with large datasets
- Experience with at least one data‑friendly language (e.g. Python)
- Attention to detail and interest in data quality and validation
- Clear communicator who enjoys collaborating across teams
- Willingness to use AI to accelerate your personal understanding and productivity
Desirable but not essential:
- Experience with behavioural/event‑level data (web/app analytics, ads, etc)
- Awareness of privacy and governance considerations around behavioural data
- Familiarity with AWS based data stacks (e.g. S3, EMR/Spark, Athena, Airflow/Azkaban, notebooks).
Working Arrangement
- Hybrid working with approximately two days per week in the Trafford Park office
- Collaborative working with product and engineering teams
- Opportunity to work on large scale behavioural datasets and client facing data products
If you are an experienced Data Products Engineer contractor interested in supporting the development of behavioural data products, we would like to hear from you.
Please email your CV with the heading “Contract Data Products Engineer” to recruitment@realitymine.com
Data Products Engineer- Contractor (x4) in Manchester employer: RealityMine
Contact Detail:
RealityMine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Products Engineer- Contractor (x4) in Manchester
✨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 showcasing your SQL and Python projects. 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 common data engineering questions and scenarios. Practice explaining your thought process clearly, as communication is key when collaborating across teams.
✨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.
We think you need these skills to ace Data Products Engineer- Contractor (x4) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and Python skills, as well as any experience with large datasets. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Showcase Your Collaboration Skills: Since this role involves working closely with various teams, it’s important to demonstrate your ability to communicate and collaborate effectively. Share examples of past teamwork in your application to give us a sense of your style.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at RealityMine
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL in past projects, especially with large datasets. You might even be asked to solve a problem on the spot, so practice writing queries and optimising them.
✨Show Off Your Python Skills
Since Python is a key part of the role, be ready to talk about your experience with it. Think of specific examples where you've used Python for data manipulation or analysis. If you can, bring along a small project or code snippet that showcases your skills.
✨Emphasise Collaboration
This role involves working closely with various teams, so highlight your teamwork experience. Prepare examples of how you've successfully collaborated with product managers, engineers, or data scientists in the past. Communication is key, so show that you're a clear and effective communicator.
✨Be Ready to Discuss Data Quality
Data quality is crucial in this role, so be prepared to discuss your approach to ensuring high-quality datasets. Think about any challenges you've faced in maintaining data integrity and how you resolved them. This will demonstrate your attention to detail and commitment to delivering reliable data.