Data Engineer, Fraud

Xcelirate

3d • $98,000 • Remote

About The Position

Xcelirate is seeking a Data Engineer to focus on designing, developing, and maintaining robust data infrastructure to support use cases such as fraud detection and general data engineering. The position emphasizes building scalable, high-performing data pipelines and storage systems for fraud use cases. While this role involves light integration with machine learning models, its primary responsibility is creating the technical foundation that powers fraud detection, analytics, and reporting.

Requirements

• 3+ years of experience as a data engineer with some expertise in fraud detection systems or similar.
• Proficiency in Python and SQL, with knowledge of orchestration and transformation tools (e.g., Apache Airflow, DBT).
• Strong knowledge of database design, query optimization, and ETL/ELT workflows, ideally including relational databases such as MySQL and columnar databases such as ClickHouse.
• Experience building and maintaining production data pipelines.
• Familiarity with leveraging machine learning models, primarily as a component of the broader data pipeline, including model registries such as MLflow.
• Understanding of CI/CD processes for data pipelines.
• Hands-on experience with data visualization platforms for trend reporting (e.g., Tableau, Superset, Metabase).
• Ability to support with model serving components, such as Flask or FastAPI.
• Familiarity with statistical techniques for fraud trend analysis and reporting.
• Experience with Git and version control in collaborative workflows.

Nice To Haves

• If you think you would be a good fit even if you don't meet 100% of the requirements, we would love to hear from you!

Responsibilities

• Develop and maintain efficient, scalable data pipelines for use cases such as fraud detection.
• Enable analysts and product teams to identify and address emerging fraud patterns through engineered datasets.
• Collaborate with teams to operationalize external fraud detection models and integrate them into the data infrastructure.
• Design and optimize data storage solutions for analyzing fraud signals and managing historical data.
• Create fraud-specific datasets and features to enhance detection accuracy while supporting business and analytics teams.
• Monitor fraud data pipelines to ensure system reliability and troubleshoot performance issues.
• Establish and document best practices for fraud-related data engineering.
• Partner with data, product, and engineering teams to proactively address fraud trends.

Benefits

• An annualised rate of €98,000 + retention bonus scheme: Competitive contractor rate with a generous bonus paid every 6 months based on your time with us.
• Top-Notch Workstation : We provide the latest MacBook, branded merchandise, and everything you need for an optimal work environment.
• Global Co-Working Access : Work from a global network of co-working spaces to keep your work-life dynamic and flexible.
• Flexibility : Enjoy full flexibility in work location and hours, supporting a work-life balance tailored to your needs.
• Events and Gatherings : Participate in exciting events throughout the year, including team gatherings, cultural events, and other fun activities.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed