Data Engineer, Fraud

Xcelirate - We’re Hiring!

Data Engineer focused on designing and maintaining data infrastructure for fraud detection. Join Xcelirate to build scalable data pipelines powering fraud detection and analytics.

Posted 6/8/2026full-timeRemote • 🇵🇹 PortugalMid-LevelSenior💰 €98,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowApacheETLFlaskMySQLPythonSQLTableau

About the role

Key responsibilities & impact

Develop and Maintain Pipelines: build and maintain efficient, scalable data pipelines for use cases such as fraud detection
Support Fraud Analytics: enable analysts and product teams to identify and address emerging fraud patterns through engineered datasets
Integrate Detection Models: collaborate with teams to operationalise external fraud detection models and integrate them into the data infrastructure
Data Storage Optimisation: design and optimise data storage solutions for analysing fraud signals and managing historical data
Feature Engineering: create fraud-specific datasets and features to enhance detection accuracy while supporting business and analytics teams
Pipeline Monitoring and Optimisation: monitor fraud data pipelines to ensure system reliability and troubleshoot performance issues
Best Practices Documentation: establish and document best practices for fraud-related data engineering
Cross-Team Collaboration: partner with data, product, and engineering teams to proactively address fraud trends

Requirements

What you’ll need

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 optimisation, 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

Benefits

Comp & perks

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.

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Hard Skills & Tools

PythonSQLETLELTdatabase designquery optimisationfeature engineeringfraud detection systemsdata pipelinesstatistical techniques

Soft Skills

cross-team collaborationproblem-solvingcommunicationdocumentationanalytical thinkingproactive approachsupporting teams