Data Engineer: Build Scalable Pipelines for Analytics in Liverpool
Data Engineer: Build Scalable Pipelines for Analytics

Data Engineer: Build Scalable Pipelines for Analytics in Liverpool

Liverpool Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and maintain scalable data pipelines for analytics and decision-making.
  • Company: Dynamic retail company based in Speke, Liverpool.
  • Benefits: Full-time role with career progression opportunities.
  • Why this job: Join a team that shapes data-driven decisions and enhances business strategies.
  • Qualifications: Proficiency in Python, SQL, cloud services, and ETL tools like Apache Airflow and Snowflake.
  • Other info: Exciting opportunity to work in a fast-paced environment.

The predicted salary is between 36000 - 60000 £ per year.

A retail company based in Speke, Liverpool seeks a Data Engineer to design and maintain scalable data pipelines supporting analytics and decision-making. The successful candidate will build diverse data integration processes and ensure high data quality. This full-time office-based role offers career progression opportunities.

Required skills include:

  • Proficiency in Python
  • SQL
  • Cloud services
  • Experience with ETL tools like Apache Airflow and Snowflake

Data Engineer: Build Scalable Pipelines for Analytics in Liverpool employer: B&M Retail Limited

Join a dynamic retail company in Speke, Liverpool, where innovation meets opportunity. As a Data Engineer, you'll thrive in a collaborative work culture that values your contributions and supports your professional growth through continuous learning and career advancement. Enjoy the benefits of working in a vibrant environment that prioritises employee well-being and fosters a strong sense of community.
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Contact Detail:

B&M Retail Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer: Build Scalable Pipelines for Analytics in Liverpool

✨Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. 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 data pipelines and projects. This is a great way to demonstrate your proficiency in Python, SQL, and ETL tools like Apache Airflow and Snowflake.

✨Tip Number 3

Prepare for interviews by brushing up on common data engineering questions. Practice explaining your thought process when building scalable data pipelines and how you ensure high data quality.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to get noticed and shows you’re serious about joining our team. Plus, we love seeing candidates who take that extra step!

We think you need these skills to ace Data Engineer: Build Scalable Pipelines for Analytics in Liverpool

Python
SQL
Cloud Services
ETL Tools
Apache Airflow
Snowflake
Data Integration
Data Quality

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and ETL tools like Apache Airflow and Snowflake. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

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 team. Keep it concise but engaging – we love a good story!

Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in building data pipelines or ensuring data quality. We’re looking for candidates who can think critically and adapt to new situations.

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 ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at B&M Retail Limited

✨Know Your Tech Inside Out

Make sure you brush up on your Python, SQL, and cloud services knowledge. Be ready to discuss how you've used these skills in past projects, especially when it comes to building data pipelines and ensuring data quality.

✨Showcase Your ETL Experience

Prepare to talk about your experience with ETL tools like Apache Airflow and Snowflake. Have specific examples ready that demonstrate how you've designed and maintained scalable data integration processes.

✨Understand the Company’s Needs

Research the retail company and understand their analytics and decision-making processes. Tailor your answers to show how your skills can directly support their goals and improve their data handling.

✨Ask Insightful Questions

Prepare thoughtful questions about the team, the data challenges they face, and opportunities for career progression. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

Data Engineer: Build Scalable Pipelines for Analytics in Liverpool
B&M Retail Limited
Location: Liverpool

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