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- Tasks: Transform raw data into high-quality datasets using SQL and Python.
- Company: Join RealityMine, a leader in data-driven insights for top brands.
- Benefits: Enjoy hybrid working, competitive pay, and opportunities for growth.
- Why this job: Make an impact by shaping behavioural data products with cutting-edge technology.
- Qualifications: Strong SQL skills and experience with large datasets required.
- Other info: Collaborative environment with a focus on innovation and data quality.
The predicted salary is between 40000 - 50000 ÂŁ 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. 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.
Skills:
- 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 Stretford employer: RealityMine
Contact Detail:
RealityMine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Products Engineer- Contractor (x4) in Stretford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 SQL and Python. This will give potential employers a taste of what you can do and set 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 when working with datasets, as this will demonstrate your problem-solving skills and attention to detail.
✨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 Products Engineer- Contractor (x4) in Stretford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your SQL and Python expertise, and any relevant experience with large datasets or behavioural data. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your background aligns with our mission at RealityMine. Keep it concise but engaging – we love a good story!
Showcase Your Collaboration Skills: Since this role involves working closely with various teams, mention any past experiences where you've successfully collaborated on projects. We value clear communication and teamwork, so let us know how you fit into that picture!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Don’t miss out on this opportunity!
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, especially in relation to handling large datasets and ensuring data quality.
✨Showcase Your Collaboration Skills
RealityMine values teamwork, so think of examples where you've successfully collaborated with different teams. Prepare to share how you communicated effectively with product, engineering, or data science teams to deliver results.
✨Understand the Role of AI
Since the role involves using AI-assisted tools, be prepared to talk about your experience with AI in data processing. Highlight any specific tools or techniques you've used and how they improved your workflow or data quality.
✨Be Ready for Scenario Questions
Expect questions that assess your problem-solving skills, especially around data quality checks and diagnostics. Think of scenarios where you identified issues in datasets and how you resolved them, as this will demonstrate your attention to detail.