Engineering Lead Manager, Data Science in London - Index Exchange
Engineering Lead Manager, Data Science in London - Index Exchange

Engineering Lead Manager, Data Science in London - Index Exchange

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data science projects and manage a talented team of engineers.
  • Company: Join Index Exchange, a leader in the tech industry based in London.
  • Benefits: Attractive salary, flexible working hours, and opportunities for professional growth.
  • Why this job: Shape the future of data science while working with cutting-edge technologies.
  • Qualifications: Experience in data preparation, big data tools, and team leadership.
  • Other info: Dynamic work environment with a focus on innovation and collaboration.

The predicted salary is between 43200 - 72000 £ per year.

Experience and Knowledge Requirements

  • Experience with data preparation and cleaning as well as data enrichment.
  • Knowledge of big data stack including Kafka, Hadoop, Spark, Scala, and Airflow, as well as data warehouse technologies such as Vertica.
  • Knowledge of BI tools like Looker and/or Redash.

Engineering Lead Manager, Data Science in London - Index Exchange employer: WorksHub

Index Exchange is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and skill enhancement, particularly in cutting-edge data science technologies. Our commitment to work-life balance and a collaborative environment makes us an attractive choice for those seeking meaningful and rewarding careers.
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Contact Detail:

WorksHub Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Engineering Lead Manager, Data Science in London - Index Exchange

✨Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repo showcasing your projects with data preparation and big data tools. It’s a great way to demonstrate your expertise beyond the application.

✨Tip Number 3

Prepare for interviews by practising common questions related to data science and engineering management. We recommend doing mock interviews with friends or using online platforms to boost your confidence.

✨Tip Number 4

Don’t forget to apply through our website! It’s super easy, and we’re here to help you every step of the way. Plus, it shows you're serious about landing that Engineering Lead Manager role!

We think you need these skills to ace Engineering Lead Manager, Data Science in London - Index Exchange

Data Preparation
Data Cleaning
Data Enrichment
Big Data Technologies
Kafka
Hadoop
Spark
Scala
Airflow
Data Warehouse Technologies
Vertica
Business Intelligence Tools
Looker
Redash

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with data preparation, cleaning, and enrichment. We want to see how your skills align with the big data stack and BI tools mentioned in the job description.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Engineering Lead Manager role. Share specific examples of your experience with technologies like Kafka, Hadoop, and Spark.

Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in data science and the tools we’re looking for. This helps us see your practical experience.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!

How to prepare for a job interview at WorksHub

✨Know Your Tech Stack

Make sure you brush up on your knowledge of the big data stack, including Kafka, Hadoop, Spark, Scala, and Airflow. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding.

✨Showcase Your Data Skills

Prepare examples that highlight your experience with data preparation, cleaning, and enrichment. Think of specific challenges you faced and how you overcame them, as this will demonstrate your problem-solving abilities and technical expertise.

✨Familiarise Yourself with BI Tools

If you have experience with BI tools like Looker or Redash, be prepared to discuss how you've used them to derive insights from data. If you're not familiar with them, do a bit of research to understand their functionalities and how they can benefit data analysis.

✨Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects or challenges they face with their data stack. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.

Engineering Lead Manager, Data Science in London - Index Exchange
WorksHub
Location: London

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