At a Glance
- Tasks: Optimise and evolve Data Lake infrastructure while migrating production workloads.
- Company: Abound, a forward-thinking company in Greater London.
- Benefits: Hybrid work model, equity options, and wellness benefits.
- Other info: Exciting opportunity for growth in a collaborative environment.
- Why this job: Join a dynamic team and make an impact on data systems.
- Qualifications: Strong engineering background with AWS, SQL, and data governance expertise.
The predicted salary is between 60000 - 80000 € per year.
Abound is looking for a Data Engineer in Greater London to optimize and evolve their Data Lake infrastructure. This role involves migrating production workloads, partnering with Data Science for efficient data usage, and designing robust data systems.
The ideal candidate will have a strong engineering background, with expertise in AWS services, SQL, and data governance practices.
This role offers a hybrid work model, equity, and wellness benefits.
Data Platform Engineer — Data Lake & Analytics (Hybrid, Equity) in London employer: Abound
Abound is an exceptional employer that fosters a collaborative and innovative work culture, particularly for Data Engineers looking to make a significant impact in the field of data analytics. With a hybrid work model, competitive equity options, and comprehensive wellness benefits, employees are empowered to thrive both professionally and personally. The Greater London location offers vibrant networking opportunities and access to cutting-edge technology, ensuring continuous growth and development in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer — Data Lake & Analytics (Hybrid, Equity) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at Abound or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data lakes, AWS, and SQL. This is your chance to demonstrate your expertise and passion for data engineering.
✨Tip Number 3
Prepare for the technical interview! Brush up on your data governance practices and be ready to discuss how you've optimised data systems in the past. We want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Platform Engineer — Data Lake & Analytics (Hybrid, Equity) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS services, SQL, and data governance. We want to see how your skills align with the Data Lake infrastructure we’re looking to optimise.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data engineering and how you can contribute to our team. Share specific examples of past projects that showcase your expertise.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—demonstrate how you’ve used them to solve real-world problems. We love seeing candidates who can think critically and innovate.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Abound
✨Know Your Data Lakes
Make sure you understand the ins and outs of Data Lake infrastructure. Brush up on your knowledge of AWS services and how they integrate with data systems. Be ready to discuss your previous experiences with data migration and optimisation.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL expertise during the interview. Have examples ready that highlight your ability to write complex queries and manage data efficiently. This will show them you can handle the technical demands of the role.
✨Collaborate Like a Pro
Since this role involves partnering with Data Science teams, be prepared to talk about your experience working collaboratively. Share specific examples of how you've worked with others to improve data usage and governance practices.
✨Ask Insightful Questions
Come equipped with thoughtful questions about their current Data Lake setup and future plans. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
