At a Glance
- Tasks: Design data models and orchestrate pipelines to maintain a robust data platform.
- Company: Join FutureLearn, a leader in online education and innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a focus on long-term success.
- Why this job: Make a real impact by shaping the future of data in education.
- Qualifications: Experience with Snowflake, AWS, and Python; strong communication skills required.
The predicted salary is between 60000 - 80000 € per year.
FutureLearn is hiring a Data Engineer in Greater London to develop and maintain their data platform. The role involves:
- Designing data models in Snowflake
- Orchestrating data pipelines with Airflow
- Ensuring data quality and governance
Candidates should have:
- Strong communication skills
- Experience with Snowflake and AWS
- Python programming skills
A background in SaaS or education is advantageous. This position offers an opportunity to build a significant data team and contribute to long-term impact.
Data Platform Engineer: Snowflake, Airflow & AI (AWS) in London employer: FutureLearn
FutureLearn is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Employees benefit from opportunities for professional growth, a commitment to diversity, and the chance to make a meaningful impact in the education sector through cutting-edge technology. With a focus on employee well-being and a supportive environment, FutureLearn stands out as a place where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer: Snowflake, Airflow & AI (AWS) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Snowflake and AWS. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Airflow and Python. This is your chance to demonstrate your expertise and passion for data engineering beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you'd tackle data quality and governance challenges, as these are key in the role at FutureLearn.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Data Platform Engineer: Snowflake, Airflow & AI (AWS) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Snowflake, Airflow, and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 your background in SaaS or education can bring value to our team. Keep it engaging and personal!
Show Off Your Communication Skills:Since strong communication is key for this role, make sure your application reflects that. Whether it’s through clear language in your CV or a well-structured cover letter, we want to see how you convey your ideas.
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 FutureLearn
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Snowflake, Airflow, and AWS. Be ready to discuss how you've used these technologies in past projects. If you can share specific examples of data models you've designed or pipelines you've orchestrated, that’ll really impress them!
✨Showcase Your Python Skills
Since Python programming is a key requirement, prepare to talk about your experience with it. Think of a couple of projects where you used Python for data manipulation or automation. Being able to explain your code or logic clearly will demonstrate your technical prowess.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice explaining complex data concepts in simple terms. You might be asked to describe your approach to ensuring data quality and governance, so be ready to articulate your thought process clearly.
✨Understand the Company’s Mission
Familiarise yourself with FutureLearn's goals and how they relate to education and SaaS. Showing that you understand their mission and how your role as a Data Engineer fits into it can set you apart from other candidates. It shows you're not just looking for a job, but you’re genuinely interested in contributing to their long-term impact.
