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
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
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.