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- Tasks: Build and optimise a data warehouse using Snowflake and integrate data from various systems.
- Company: ALL4GOLF, a dynamic company focused on enhancing data infrastructure.
- Benefits: Flexible working hours, employee discounts, and pension plans.
- Other info: Exciting opportunities for growth in a collaborative environment.
- Why this job: Join a team where your skills in SQL and Python can shine and make a difference.
- Qualifications: Experience in SQL, Python, Power BI, and a degree in Computer Science or Business Informatics.
The predicted salary is between 50000 - 65000 £ per year.
ALL4GOLF sucht einen Data Engineer (m/w/d) zur Mitgestaltung der Dateninfrastruktur. Die Rolle umfasst den Aufbau und die Optimierung eines Data Warehouses auf basis von Snowflake sowie die Integration von Daten aus ERP-Systemen und E-Commerce-Tools.
Der ideale Kandidat hat Erfahrung in SQL, Python, und Power BI sowie ein abgeschlossenes Studium in Informatik oder Wirtschaftsinformatik.
Flexible Arbeitszeiten und zahlreiche Benefits wie Mitarbeiterrabatte und betriebliche Altersvorsorge werden angeboten.
Data Engineer: Scale Snowflake Platform with dbt & BI in Manchester employer: ALL4GOLF
Contact Detail:
ALL4GOLF Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Scale Snowflake Platform with dbt & BI in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and Power BI. 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 practising common questions related to data engineering and Snowflake. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer: Scale Snowflake Platform with dbt & BI in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL, Python, and Power BI in your application. We want to see how you've used these tools in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention how your background aligns with building and optimising data warehouses, especially using Snowflake. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point.
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 us!
How to prepare for a job interview at ALL4GOLF
✨Know Your Tech Stack
Make sure you brush up on your SQL, Python, and Power BI skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to building or optimising data warehouses.
✨Understand Snowflake Inside Out
Since the role focuses on scaling the Snowflake platform, take some time to familiarise yourself with its features and best practices. Be prepared to share your thoughts on how you would approach integrating data from ERP systems and e-commerce tools.
✨Showcase Your Problem-Solving Skills
Data engineering often involves troubleshooting and optimising processes. Think of specific examples where you've solved complex data issues or improved workflows, and be ready to discuss them during the interview.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's data infrastructure and future projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.