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- Tasks: Shape data models and pipelines while driving data reliability initiatives.
- Company: Leading ed-tech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact in education by working with cutting-edge technologies.
- Qualifications: 5+ years in analytics engineering with strong SQL and Python skills.
- Other info: Dynamic environment with a collaborative team of data scientists and analysts.
The predicted salary is between 43200 - 72000 £ per year.
A leading ed-tech company in Greater London is seeking an Analytics Engineer to shape data models and pipelines within a dynamic environment. You will drive initiatives for data reliability and work alongside data scientists and analysts to create high-quality datasets.
The ideal candidate has over 5 years of experience in analytics engineering with strong skills in SQL and Python. The role offers a chance to work with cutting-edge technologies and foster innovation in education.
Senior Analytics Engineer — Data Pipelines & Strategy employer: Preply
Contact Detail:
Preply Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer — Data Pipelines & Strategy
✨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 showcasing your best data models and pipelines. We want to see how you’ve tackled real-world problems using SQL and Python, so make it shine!
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your SQL queries and Python coding. We recommend doing 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 Analytics Engineer — Data Pipelines & Strategy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics engineering, especially with SQL and Python. 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 pipelines and how you can contribute to our mission at StudySmarter. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in data reliability or created high-quality datasets. We’re looking for someone who can think critically and innovate, so let us know how you’ve done this in the past!
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Preply
✨Know Your Data Inside Out
Make sure you’re well-versed in data modelling and pipeline strategies. Brush up on your SQL and Python skills, as you’ll likely be asked to demonstrate your expertise. Prepare examples of past projects where you’ve successfully shaped data models or improved data reliability.
✨Showcase Your Collaborative Spirit
This role involves working closely with data scientists and analysts, so be ready to discuss how you’ve collaborated in the past. Share specific instances where teamwork led to successful outcomes, highlighting your ability to communicate complex ideas clearly.
✨Stay Current with Technologies
Familiarise yourself with the latest tools and technologies in analytics engineering. Be prepared to discuss how you’ve used cutting-edge tech in previous roles and how you can bring that knowledge to the table at this company.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Think of insightful questions about the company’s data strategy and how they foster innovation in education. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
