At a Glance
- Tasks: Develop scalable data systems and efficient workflows using cutting-edge AI tools.
- Company: Leading AI analytics firm backed by a multinational equity company.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Limited interview slots available; apply now to secure your chance!
- Why this job: Join a rapidly growing team and work with the latest technology in AI.
- Qualifications: Experience with Spark, Scala, Java, and cloud data systems.
My client is based in the London area, is currently looking to recruit an experienced Data Engineer to join their AI Analytics team. They are one of the leaders within the AI space and are currently going through a period of growth.
Main Responsibilities:
- Develop scalable systems and reusable components that serve as reference points for new team members.
- Create efficient data workflows using distributed computing tools, particularly for large-scale processing and aggregation.
- Build responsive, asynchronous APIs and backend processes capable of handling high data volumes with minimal delay.
- Utilise AI-powered development tools to enhance productivity and code quality.
- Collaborate within Agile teams to refine and monitor data collection systems using Scala and Java.
- Apply sound engineering principles such as test-driven development and modular design.
Preferred Background:
- Hands-on experience with Spark and Scala in commercial environments.
- Familiarity with Java and Python.
- Exposure to distributed data systems and cloud storage platforms.
- Experience designing data schemas and analytical databases.
- Use of AI tools to streamline development and debugging.
- Strong grasp of algorithmic thinking and performance optimisation.
- Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra.
- Experience with systems like Kafka or RabbitMQ.
- Ability to build and manage ETL pipelines using tools like Airflow.
This role is an urgent requirement. There are limited interview slots left. If interested, send an up-to-date CV to Shoaib Khan or call for a catch-up in complete confidence.
Remote Senior Data Engineer employer: Tenth Revolution Group
Join a forward-thinking company at the forefront of AI technology, where your expertise as a Senior Data Engineer will be valued and nurtured. With a strong emphasis on employee growth, collaborative Agile teams, and access to cutting-edge tools, you'll thrive in a dynamic work culture that prioritises innovation and excellence. Located in London, this role offers the unique advantage of being part of a rapidly growing organisation backed by a multinational equity firm, ensuring stability and exciting opportunities for career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in AI or data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Spark, Scala, or any cool AI tools you've used. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of distributed systems and cloud storage platforms. Be ready to discuss your experience with ETL pipelines and how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities waiting for talented Data Engineers like you. Plus, it’s a great way to ensure your application gets noticed quickly!
We think you need these skills to ace Remote Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Data Engineer. Highlight your experience with Spark, Scala, and any relevant projects that showcase your skills in building scalable systems and data workflows.
Showcase Your Projects:Include specific examples of projects where you've used distributed computing tools or built APIs. This will help us see your hands-on experience and how you can contribute to our AI Analytics team.
Keep It Concise:While we love detail, keep your application concise and to the point. Focus on the most relevant experiences and skills that align with the job description to grab our attention quickly.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our growing team.
How to prepare for a job interview at Tenth Revolution Group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Spark, Scala, and Java. Brush up on your knowledge of distributed data systems and cloud storage platforms, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've developed scalable systems or built ETL pipelines. Highlight your experience with AI tools and how they’ve improved your workflow. Real-world examples will demonstrate your hands-on experience and problem-solving skills.
✨Understand Agile Methodologies
Since the role involves collaboration within Agile teams, be ready to talk about your experience working in Agile environments. Discuss how you’ve contributed to team dynamics and any tools you’ve used for project management or version control.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s growth plans and how they utilise cutting-edge technology. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
