At a Glance
- Tasks: Design and own the data layer for analytics and machine learning products.
- Company: Leading Ed-Tech company in Greater London with a focus on innovation.
- Benefits: Competitive financial package and opportunities for self-development.
- Other info: Collaborative environment with a focus on personal growth and technical leadership.
- Why this job: Join a dynamic team and lead impactful data engineering projects.
- Qualifications: Significant experience in data engineering practices and modern processing techniques.
The predicted salary is between 60000 - 80000 £ per year.
A leading Ed-Tech company in Greater London is seeking a Senior Data Engineer to design and own the data layer for analytics and machine learning products. You'll develop scalable data ingestion pipelines, ensuring quality and governance. This role involves cross-team collaboration and technical leadership, making it essential for candidates to have significant experience in data engineering practices and modern processing techniques. A competitive financial package and opportunities for self-development are offered.
Senior Data Engineer - Ingestion & Enrichment Platform employer: Preply
As a leading Ed-Tech company in Greater London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With a competitive financial package and ample opportunities for self-development, we are committed to supporting your growth as a Senior Data Engineer while you contribute to impactful analytics and machine learning products that shape the future of education.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Ingestion & Enrichment Platform
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your data engineering projects. This is your chance to demonstrate how you’ve tackled challenges in ingestion and enrichment – make it shine!
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your data processing techniques and governance practices. We recommend mock interviews with friends or using online platforms to simulate the experience.
✨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 Senior Data Engineer - Ingestion & Enrichment Platform
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering practices and modern processing techniques. 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 ingestion and enrichment platform. Let us know what excites you about working with us!
Showcase Your Technical Skills:We’re looking for someone who can develop scalable data ingestion pipelines. Be sure to mention any specific tools or technologies you’ve worked with that relate to this, as well as any leadership experiences you have in cross-team collaboration.
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’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Preply
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering practices and modern processing techniques. Be ready to discuss your experience with scalable data ingestion pipelines and how you've ensured data quality and governance in your previous roles.
✨Show Off Your Collaboration Skills
Since this role involves cross-team collaboration, think of examples where you've successfully worked with other teams. Highlight your ability to communicate technical concepts clearly and how you've led projects that required input from various stakeholders.
✨Prepare for Technical Questions
Expect some technical questions that will test your knowledge and problem-solving skills. Practice explaining your thought process when designing data architectures or troubleshooting issues in data pipelines. This will show your analytical thinking and technical leadership.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company's data strategy, the tools they use, or how they measure success in their data projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
