S'INSCRIRE
Retour aux emplois
XX
Data Engineer, FraudXcelirate • London, England, United Kingdom
Postuler Maintenant
XX

Data Engineer, Fraud

Xcelirate
  • +1
  • +3
  • GB
    London, England, United Kingdom
  • +1
  • +3
  • GB
    London, England, United Kingdom
Postuler Maintenant

À propos

1 month ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.This range is provided by Xcelirate. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay rangeWho Are We?Xcelirate develops technologically-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, experienced in Fraud data:Design, develop, and maintain robust data infrastructure to support use cases such as fraud detection but also general data engineering.Build scalable, high-performing data pipelines and storage systems for fraud use casesCreate the technical foundation that powers such use cases of fraud detection, analytics and reportingWhat will you be doing?Develop and Maintain Pipelines: build and maintain efficient, scalable data pipelines for use cases such as fraud detectionSupport Fraud Analytics: enable analysts and product teams to identify and address emerging fraud patterns through engineered datasetsIntegrate Detection Models: collaborate with teams to operationalise external fraud detection models and integrate them into the data infrastructureData Storage Optimisation: design and optimise data storage solutions for analysing fraud signals and managing historical dataFeature Engineering: create fraud-specific datasets and features to enhance detection accuracy while supporting business and analytics teamsPipeline Monitoring and Optimisation: monitor fraud data pipelines to ensure system reliability and troubleshoot performance issuesBest Practices Documentation: establish and document best practices for fraud-related data engineeringCross-Team Collaboration: partner with data, product, and engineering teams to proactively address fraud trendsRequirementsWhat will you bring along?5+ years of experience as a data engineer with some expertise in fraud detection systems or similarProficiency in Python and SQL, with knowledge of orchestration tools (e.g., Apache Airflow, DBT)Strong knowledge of database design, query optimisation, and ETL/ELT workflowsFamiliarity with leveraging machine learning models, primarily as a component of the broader data pipelineUnderstanding of CI/CD processes for data pipelinesHands-on experience with data visualization platforms for trend reporting (e.g., Tableau, Superset, Metabase)Familiarity with statistical techniques for fraud trend analysis and reportingExperience with Git and version control in collaborative workflowsWe are always looking for the best candidates, so 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!BenefitsHow We Support Our Contractors:Gross Annual Compensation: €80,000Top-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 activitiesAt Xcelirate, we'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.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionAnalystIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at Xcelirate by 2xSign in to set job alerts for “Data Engineer” roles.London, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 6 months agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 2 months agoLondon, England, United Kingdom 4 months agoLondon, England, United Kingdom 4 weeks agoGreater London, England, United Kingdom 4 weeks agoLondon, England, United Kingdom 6 days agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 6 months agoEdgware, England, United Kingdom 2 months agoData & AI Engineer- Hybrid/ Fully RemoteLondon, England, United Kingdom 2 days agoStaines-Upon-Thames, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 3 weeks agoBillericay, England, United Kingdom £50,000.00-£55,000.00 2 weeks agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 19 hours agoLondon, England, United Kingdom 5 days agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Compétences idéales

  • Database Design
  • Python
  • SQL
  • London, England, United Kingdom

Expérience professionnelle

  • Data Engineer

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.

Postuler Maintenant