Remote Senior Data Engineer in Lincolnshire

Remote Senior Data Engineer in Lincolnshire

Lincolnshire Full-Time Working from home possible
Tenth Revolution Group

At a Glance

  • Tasks: Develop scalable data systems and create 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, and cloud data systems; strong SQL skills.

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 in Lincolnshire employer: Tenth Revolution Group

Join a leading AI Analytics team in London, where innovation meets opportunity. As a Remote Senior Data Engineer, you'll thrive in a dynamic work culture that prioritises collaboration and cutting-edge technology, backed by a multinational equity firm poised for significant growth. With a focus on employee development and access to the latest tools, this role offers a unique chance to advance your career while contributing to impactful projects in the AI space.

Tenth Revolution Group

Contact Details:

Tenth Revolution Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Senior Data Engineer in Lincolnshire

Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who might know someone at the company you're eyeing. A personal referral can make all the difference in landing that interview.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Spark, Scala, and any AI tools you've used. This gives you a chance to demonstrate your expertise beyond just your CV.

Tip Number 3

Prepare for the tech interview! Brush up on your knowledge of distributed systems, ETL pipelines, and the tools mentioned in the job description. Practising coding challenges can also help you feel more confident.

Tip Number 4

Apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications with us!

We think you need these skills to ace Remote Senior Data Engineer in Lincolnshire

Data Engineering
Distributed Computing
API Development
Scala
Java
Python
Spark

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the role of a Senior Data Engineer. Highlight your experience with Spark, Scala, and any relevant AI tools. We want to see how your skills match what we're looking for!

Showcase Your Projects:Include specific projects where you've built scalable systems or worked with distributed data systems. This gives us a clear picture of your hands-on experience and problem-solving skills.

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. We appreciate clarity!

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 tools like Airflow and any AI-powered development tools you've used to enhance productivity.

Understand Agile Methodologies

Since the role involves collaboration within Agile teams, be ready to talk about your experience working in Agile environments. Share examples of how you’ve contributed to refining data collection systems and how you approach test-driven development.

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 assess if it’s the right fit for you.