Senior Data Platform Engineer Spark Threat Analytics Equity in London

Senior Data Platform Engineer Spark Threat Analytics Equity in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
CrowdStrike

At a Glance

  • Tasks: Create and maintain a hyper-scale data lake for threat detection.
  • Company: Join CrowdStrike, a leader in cybersecurity innovation.
  • Benefits: Competitive compensation and wellness programmes to support your well-being.
  • Other info: Dynamic team environment with opportunities for professional growth.
  • Why this job: Make a real impact in cybersecurity with cutting-edge technology.
  • Qualifications: 10+ years of backend development experience, strong in Java and Apache Spark.

The predicted salary is between 60000 - 80000 £ per year.

CrowdStrike is seeking a Senior Software Engineer to join their data engineering team in Greater London. This role focuses on creating and maintaining a hyper-scale data lake for threat detection, requiring extensive experience in backend development and data platforms.

The ideal candidate will have over 10 years of relevant experience and a strong background in Java and Apache Spark, with opportunities for competitive compensation and wellness programs.

Senior Data Platform Engineer Spark Threat Analytics Equity in London employer: CrowdStrike

CrowdStrike is an exceptional employer, offering a dynamic work environment in Greater London where innovation thrives. With a strong focus on employee growth, competitive compensation, and comprehensive wellness programs, we empower our team to excel in their careers while contributing to cutting-edge threat detection solutions. Join us to be part of a collaborative culture that values creativity and professional development.

CrowdStrike

Contact Details:

CrowdStrike Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Platform Engineer Spark Threat Analytics Equity in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like CrowdStrike!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Platform Engineer Spark Threat Analytics Equity at CrowdStrike.

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like CrowdStrike.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Platform Engineer Spark Threat Analytics Equity at CrowdStrike, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Platform Engineer Spark Threat Analytics Equity in London

Backend Development
Data Engineering
Java
Apache Spark
Data Lake Management
Threat Detection
Hyper-Scale Data Solutions

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at CrowdStrike, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CrowdStrike. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at CrowdStrike

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at CrowdStrike!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.