Data Products Engineer: Build AI‑Driven Data Feeds in Stretford
Data Products Engineer: Build AI‑Driven Data Feeds

Data Products Engineer: Build AI‑Driven Data Feeds in Stretford

Stretford Full-Time 30000 - 50000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Transform raw data into high-quality datasets using SQL and Python.
  • Company: Leading data solutions company in Stretford with a supportive culture.
  • Benefits: Comprehensive benefits, hybrid working model, and a collaborative environment.
  • Why this job: Join a dynamic team and make an impact with AI-driven data feeds.
  • Qualifications: Strong SQL skills, attention to detail, and experience in data-quality practices.
  • Other info: Enjoy a flexible work-life balance with two days in the office.

The predicted salary is between 30000 - 50000 £ per year.

A leading data solutions company in Stretford is seeking a Data Products Engineer to transform raw data into high-quality datasets. The role combines both SQL and Python, focusing on collaboration across teams. As part of a hybrid working model, you will spend two days a week in the office and work from home the rest of the time.

Ideal candidates will have strong SQL skills, attention to detail, and experience with data-quality practices. Comprehensive benefits and supportive work environment included.

Data Products Engineer: Build AI‑Driven Data Feeds in Stretford employer: RealityMine

Join a leading data solutions company in Stretford, where innovation meets collaboration. As a Data Products Engineer, you'll enjoy a hybrid working model that promotes work-life balance, alongside comprehensive benefits and a supportive work culture that fosters professional growth. With opportunities to enhance your skills in SQL and Python, this role offers a meaningful and rewarding career path in a dynamic environment.
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Contact Detail:

RealityMine Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Products Engineer: Build AI‑Driven Data Feeds in Stretford

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!

Tip Number 2

Show off your skills! Create a portfolio showcasing your SQL and Python projects. This is your chance to demonstrate your data wizardry and attention to detail—make it shine!

Tip Number 3

Prepare for the interview by brushing up on common data quality practices. We want you to be ready to discuss how you ensure high-quality datasets and collaborate effectively with teams.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step!

We think you need these skills to ace Data Products Engineer: Build AI‑Driven Data Feeds in Stretford

SQL
Python
Data Quality Practices
Attention to Detail
Collaboration Skills
Data Transformation
Hybrid Working Model Adaptability

Some tips for your application 🫡

Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you've used SQL in past projects, so don’t hold back on the details!

Demonstrate Your Python Know-How: Since this role involves Python, share examples of how you've applied it in data transformation or analysis. We love seeing practical applications of your skills!

Attention to Detail is Key: We’re all about high-quality datasets, so emphasise your attention to detail in your application. Mention any specific practices you follow to ensure data quality.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and get to know you better!

How to prepare for a job interview at RealityMine

Master Your SQL and Python Skills

Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, and think about how you can demonstrate your problem-solving abilities with data.

Showcase Your Attention to Detail

Prepare examples that highlight your attention to detail, especially in relation to data quality practices. You might want to share a story about a time when your meticulousness led to a significant improvement in a dataset or project outcome.

Emphasise Collaboration Experience

Since the role involves collaboration across teams, be ready to talk about your experience working with others. Think of instances where you successfully collaborated on a project, and how you navigated any challenges that arose.

Understand the Company Culture

Research the company’s culture and values, especially since they offer a hybrid working model. Be prepared to discuss how you can thrive in both office and remote settings, and how you align with their supportive work environment.

Data Products Engineer: Build AI‑Driven Data Feeds in Stretford
RealityMine
Location: Stretford

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