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- Tasks: Build and maintain data systems for reporting and analytics using Databricks.
- Company: Leading entertainment brand with a focus on innovation.
- Benefits: Salary up to £60,000, hybrid working, annual bonus, and generous holiday allowance.
- Why this job: Join a dynamic team and make an impact in the entertainment industry.
- Qualifications: Experience in data engineering and proficiency in AWS and Databricks.
- Other info: Mid-senior level role with opportunities for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading entertainment brand is seeking a Data Engineer to build and maintain data systems that power their reporting and analytics. In this mid-senior level role, you will develop data pipelines in Databricks and ensure data accuracy across teams.
The position offers a salary up to £60,000 with hybrid working options and various benefits including annual bonus, life insurance, and generous holiday allowance.
Data Engineer: Real‑Time Pipelines on AWS & Databricks employer: Searchability®
Contact Detail:
Searchability® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Real‑Time Pipelines on AWS & Databricks
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with AWS and Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your expertise in real-time data systems and impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising your answers to technical scenarios, especially those related to data accuracy and pipeline development.
✨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 are proactive about their job search.
We think you need these skills to ace Data Engineer: Real‑Time Pipelines on AWS & Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, especially in Databricks and AWS. 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 engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data accuracy or pipeline development. We’re looking for someone who can think on their feet and come up with innovative solutions!
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 Searchability®
✨Know Your Tech Stack
Make sure you’re well-versed in AWS and Databricks. Brush up on your knowledge of data pipelines, ETL processes, and how to ensure data accuracy. Being able to discuss specific projects where you've used these technologies will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles and how you overcame them. Think about scenarios where you had to troubleshoot data issues or optimise a pipeline. This will demonstrate your analytical thinking and ability to work under pressure.
✨Understand the Business Context
Research the entertainment brand and understand how data impacts their reporting and analytics. Be ready to explain how your role as a Data Engineer can contribute to their goals. This shows that you’re not just technically skilled but also aligned with their business objectives.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and their data strategy. This not only shows your interest in the role but also helps you gauge if the company culture is the right fit for you.
