Fraud Data Engineer: Build Scalable Pipelines & Detection

Xcelirate; United Kingdom; Remote; EUR 88,200 - 107,800; Full time

Benefits offered by this job

Annual retention bonus

Top-notch workstation

Global co-working access

Full flexibility in work location

Exciting events and gatherings

Job summary

Xcelirate is seeking a skilled Data Engineer to design and maintain robust data infrastructure for fraud detection and analytics. This role will involve building scalable data pipelines, collaborating with various teams, and optimizing data storage solutions.

The ideal candidate will have 3+ years of experience, strong proficiency in Python and SQL, and familiarity with machine learning models. Xcelirate offers a competitive contract rate of €98,000 plus bonuses, alongside flexibility in work location and hours.

Qualifications

• 3+ years of experience as a data engineer, preferably with expertise in fraud detection.
• Strong knowledge of database design and query optimization.
• Hands-on experience with data visualization tools.

Responsibilities

• Develop and maintain efficient, scalable data pipelines for fraud detection.
• Support analysts in identifying fraud patterns through engineered datasets.
• Collaborate to operationalize fraud detection models in data infrastructure.

Skills

Python

SQL

Apache Airflow

DBT

MySQL

ClickHouse

Machine Learning

Flask

FastAPI

Git

Tools

Tableau

Superset

Metabase

Job description

Xcelirate is seeking a skilled Data Engineer to design and maintain robust data infrastructure for fraud detection and analytics. This role will involve building scalable data pipelines, collaborating with various teams, and optimizing data storage solutions.

The ideal candidate will have 3+ years of experience, strong proficiency in Python and SQL, and familiarity with machine learning models. Xcelirate offers a competitive contract rate of €98,000 plus bonuses, alongside flexibility in work location and hours.