Fraud Data Engineer: Build Scalable Detection Pipelines

Xcelirate; Amsterdam; Hybrid; EUR 88,200 - 107,800; Full time

Benefits offered by this job

Annualised rate of €98,000

Top‑Notch workstation

Global co‑working access

Full flexibility in work location and hours

Events and gatherings

Job summary

Xcelirate in Amsterdam is looking for a Data Engineer to design and maintain data infrastructure aiming at fraud detection. This role involves developing scalable data pipelines and collaborating with various teams to integrate fraud detection models.

A successful candidate will have 3+ years of experience in data engineering, expertise in Python and SQL, and familiarity with machine learning models. The position offers a salary of €98,000 annually and a retention bonus, along with flexible working conditions.

Qualifications

• 3+ years of experience as a data engineer with expertise in fraud detection systems.
• Strong knowledge of database design, query optimisation, and ETL/ELT workflows.
• Familiarity with leveraging machine learning models in data pipelines.

Responsibilities

• Develop and maintain efficient, scalable data pipelines for fraud detection.
• Collaborate with teams to operationalise external fraud detection models.
• Monitor fraud data pipelines to ensure system reliability.

Skills

Python

SQL

Apache Airflow

DBT

MySQL

ClickHouse

Flask

FastAPI

Tableau

Git

Job description

Xcelirate in Amsterdam is looking for a Data Engineer to design and maintain data infrastructure aiming at fraud detection. This role involves developing scalable data pipelines and collaborating with various teams to integrate fraud detection models.

A successful candidate will have 3+ years of experience in data engineering, expertise in Python and SQL, and familiarity with machine learning models. The position offers a salary of €98,000 annually and a retention bonus, along with flexible working conditions.