Data Products Engineer- Contractor (x4)

Data Products Engineer- Contractor (x4)

Freelance 40000 - 50000 € / year (est.) Home office (partial)
RealityMine

At a Glance

  • Tasks: Transform raw data into high-quality datasets using SQL and Python.
  • Company: Join RealityMine, a leader in data-driven insights for top global brands.
  • Benefits: Enjoy hybrid working, competitive pay, and opportunities for professional growth.
  • Other info: Collaborative team environment with a focus on continuous improvement.
  • Why this job: Make an impact by developing innovative data products that drive real-world decisions.
  • Qualifications: Experience with SQL, Python, and a passion for data quality.

The predicted salary is between 40000 - 50000 € 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.
  • Adhere to Company Policies and Procedures with respect to Security, Quality and Health.

Data Products Engineer- Contractor (x4) employer: RealityMine

RealityMine is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the vibrant Trafford Park area of Manchester. With a strong focus on employee growth, we offer opportunities to enhance your skills in data engineering while working with cutting-edge technologies and AI-assisted tools. Our hybrid working model promotes a healthy work-life balance, making it an ideal environment for those seeking meaningful and rewarding employment in the data-driven landscape.

RealityMine

Contact Detail:

RealityMine Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Products Engineer- Contractor (x4)

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at RealityMine. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repo 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 data quality checks and schema design. Be ready to discuss how you’ve tackled similar challenges in the past – it’s all about showing you can hit the ground running!

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 take that extra step.

We think you need these skills to ace Data Products Engineer- Contractor (x4)

SQL
Python
Data Modelling
Data Quality Assurance
AI-assisted Tools
Collaboration Skills
Documentation Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Products Engineer role. Highlight your experience with SQL, Python, and any relevant data product work. We want to see how your skills align with what we’re looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about working with us at RealityMine and how your background makes you a great fit for the team. Keep it engaging and personal!

Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them in your application. Whether it's building datasets or using AI tools, we love seeing real examples of your work that demonstrate your capabilities.

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at RealityMine

Know Your Tech Stack

Make sure you brush up on SQL and Python before the interview. Familiarise yourself with how these tools are used in data product development, as you'll likely be asked to demonstrate your knowledge or solve a problem using them.

Understand the Company’s Mission

RealityMine focuses on delivering data-driven insights while ensuring privacy. Show that you understand their mission by discussing how you can contribute to creating high-quality datasets that align with their values.

Prepare for Collaboration Questions

Since the role involves working with various teams, be ready to discuss your experience collaborating with Product, Data Engineering, and ML teams. Share specific examples of how you've successfully worked in a team setting to deliver projects.

Showcase Your Problem-Solving Skills

Be prepared to talk about how you monitor and improve data quality. Think of examples where you've identified issues in datasets and the steps you took to resolve them, as this will demonstrate your analytical skills and attention to detail.