Data Engineer, Fraud Lisboa

Data Engineer, Fraud
Lisboa
Lisboa, Lisboa, Portugal

Overview

This range is provided by Xcelirate. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Who Are We? Xcelirate develops
- advanced platforms which are accessed by thousands of users every minute. We are proud to offer a workplace where the sharpest developers come together to strategically plan and swiftly execute practices which see us maintain our existing market dominance and attain global expansion. We owe our success to our customers who have seen us grow across a decade, and our talented team who have made that growth possible.

What are we looking for? A Data Engineer with experience in fraud data.

Responsibilities

• Design, develop, and maintain robust data infrastructure to support use cases such as fraud detection and general data engineering.


• Build scalable,
  - performing data pipelines and storage systems for fraud use cases.


• Create the technical foundation that powers fraud detection, analytics, and reporting.


• 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
  - 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
  - related data engineering.


• Cross-team collaboration: partner with data, product, and engineering teams to proactively address fraud trends.

Qualifications

• 5+ 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 tools (e. g. , Apache Airflow, DBT).


• Strong knowledge of database design, query optimisation, and ETL/ELT workflows.


• Familiarity with leveraging machine learning models, primarily as a component of the broader data pipeline.


• Understanding of CI/CD processes for data pipelines.


• Hands-on experience with data visualization platforms for trend reporting (e. g. , Tableau, Superset, Metabase).


• Familiarity with statistical techniques for fraud trend analysis and reporting.


• Experience with Git and version control in collaborative workflows.

We are always looking for the best candidates, so if you think you would be a good fit even if you
- 't meet 100% of the requirements, we would love to hear from you!

Benefits

• Top-Notch Workstation: We provide the latest Mac
  Book, branded merchandise, and everything you need for an optimal work environment.


• Global Co-Working Access: Work from a global network of
  - working spaces to keep your
  - life dynamic and flexible.


• Flexibility: Enjoy full flexibility in work location and hours, supporting a
  - 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.

At Xcelirate,
- 're committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We pride ourselves in being an equal opportunity workplace.

Details

• Seniority level: Mid-Senior level


• Employment type: Full-time


• Job function: Analyst


• Industries: IT Services and IT Consulting

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