Fraud Data Engineer: Build Scalable Pipelines & Insights

Fraud Data Engineer: Build Scalable Pipelines & Insights

Full-Time 98000 - 98000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build scalable data pipelines and enhance fraud analytics with machine learning.
  • Company: Xcelirate, a leader in fraud detection systems.
  • Benefits: €98,000 salary, flexible work hours, and great work-life balance.
  • Other info: Exciting opportunities for growth in a dynamic environment.
  • Why this job: Join a cutting-edge team and make a real impact in fraud detection.
  • Qualifications: Strong skills in Python, SQL, and data engineering tools.

The predicted salary is between 98000 - 98000 Β£ per year.

Xcelirate is seeking a Data Engineer in Greater London, specializing in fraud detection systems and data infrastructure. The ideal candidate will develop scalable data pipelines and integrate machine learning models to enhance fraud analytics.

This role offers an annual salary of €98,000 along with flexible work locations and hours, ensuring a balance between professional and personal life.

Candidates should have a strong background in Python, SQL, and relevant tools in data engineering.

Fraud Data Engineer: Build Scalable Pipelines & Insights employer: Xcelirate

At Xcelirate, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. With flexible hours and the opportunity to work remotely, we support a healthy work-life balance while providing ample growth opportunities through hands-on projects and collaborative architecture discussions. Join us to be part of a team that values innovation and encourages you to take ownership of your work in a fast-paced environment.

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Contact Details:

Xcelirate Recruitment Team

We think you need these skills to ace Fraud Data Engineer: Build Scalable Pipelines & Insights

Data Engineering
Fraud Detection Systems
Scalable Data Pipelines
Machine Learning Integration
Python
SQL
Data Infrastructure