At a Glance
- Tasks: Lead the data ingestion team and design the data layer for analytics and machine learning.
- Company: Innovative Ed-Tech company in Greater London with a focus on cutting-edge technology.
- Benefits: Competitive salary package and attractive benefits.
- Other info: Join a dynamic team with opportunities for professional growth.
- Why this job: Make a real impact in education through data-driven insights and solutions.
- Qualifications: Hands-on experience with cloud platforms and modern data processing frameworks.
The predicted salary is between 60000 - 75000 € per year.
An innovative Ed-Tech company in Greater London is seeking a Senior Data Engineer to lead the data ingestion and enrichment team. The successful candidate will design and own the data layer that powers analytics and machine learning features.
Responsibilities include:
- Developing ingestion pipelines
- Ensuring data quality
- Collaborating with cross-functional teams
Ideal candidates have hands-on experience with cloud platforms and modern data processing frameworks. A competitive salary package alongside benefits is offered.
Senior Data Engineer: Data Lake & Ingestion Platform in London employer: Preply
Join an innovative Ed-Tech company in Greater London, where you will be at the forefront of transforming education through data. We pride ourselves on a collaborative work culture that fosters creativity and professional growth, offering ample opportunities for skill development and career advancement. With a competitive salary package and a range of benefits, we are committed to supporting our employees in achieving meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Data Lake & Ingestion Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in the Ed-Tech space, especially those working with data. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data ingestion projects and any cool analytics or machine learning features you've built. This will give us a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on cloud platforms and modern data processing frameworks. We love candidates who can talk the talk and walk the walk when it comes to tech!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate data engineers like you!
We think you need these skills to ace Senior Data Engineer: Data Lake & Ingestion Platform in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data ingestion and cloud platforms. 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 Technical Skills:Since this role involves modern data processing frameworks, be specific about the tools and technologies you’ve worked with. We’re keen to know how you’ve tackled challenges in your previous roles!
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 Preply
✨Know Your Data Inside Out
As a Senior Data Engineer, you’ll need to demonstrate your expertise in data ingestion and processing. Brush up on your knowledge of cloud platforms and modern data frameworks. Be ready to discuss specific projects where you've designed ingestion pipelines or improved data quality.
✨Showcase Your Collaboration Skills
Collaboration is key in this role, so be prepared to share examples of how you've worked with cross-functional teams. Highlight any experiences where your teamwork led to successful project outcomes, especially in analytics or machine learning contexts.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of data engineering concepts. Review common challenges in data ingestion and think about how you would solve them. Practising coding problems related to data processing can also give you an edge.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current data challenges or future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
