Fraud Data Engineer

Xcelirate develops technologically-advanced platforms accessed by thousands of users, maintaining market dominance across a decade of growth.
$50,000 - $60,000
Data
Mid-Level Software Engineer
In-Person
3+ years of experience
Finance
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Description For Fraud Data Engineer

Xcelirate, a technology company specializing in advanced platforms, is seeking a Fraud Data Engineer to join their team in Barcelona. This role combines data engineering expertise with fraud detection specialization, offering an opportunity to work on critical systems accessed by thousands of users.

The position requires a skilled professional with 3+ years of experience to design and maintain robust data infrastructure supporting fraud detection initiatives. You'll be responsible for building scalable pipelines, supporting analytics teams, and creating fraud-specific datasets that enhance detection accuracy.

The ideal candidate will bring strong technical skills in Python and SQL, experience with orchestration tools, and a solid understanding of database design and ETL/ELT workflows. Knowledge of machine learning model implementation and statistical techniques for fraud analysis is essential.

Working at Xcelirate offers an exceptional compensation package, including a competitive salary range of €50,000-60,000, plus a 30% flexible allowance package. The company provides numerous benefits, from comprehensive health insurance to unique perks like FC Barcelona VIP experiences and weekly in-office massages.

The role offers an exciting opportunity to work in an award-winning office environment while contributing to critical fraud prevention systems. With additional benefits including relocation support, language lessons, and global co-working access, this position presents an ideal opportunity for a data engineer looking to make a significant impact in fraud detection while enjoying a comprehensive benefits package.

Last updated 3 months ago

Responsibilities For Fraud Data Engineer

  • Design, develop, and maintain robust data infrastructure for fraud detection
  • Build scalable, high-performing data pipelines and storage systems
  • Develop and maintain efficient data pipelines for fraud detection
  • Support fraud analytics and enable teams to identify fraud patterns
  • Integrate detection models with data infrastructure
  • Design and optimize data storage solutions
  • Create fraud-specific datasets and features
  • Monitor fraud data pipelines and troubleshoot performance issues
  • Establish and document best practices
  • Partner with data, product, and engineering teams

Requirements For Fraud Data Engineer

Python
  • 3+ years of experience as a data engineer with expertise in fraud detection systems
  • 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
  • Understanding of CI/CD processes for data pipelines
  • Hands-on experience with data visualization platforms
  • Familiarity with statistical techniques for fraud trend analysis
  • Experience with Git and version control in collaborative workflows

Benefits For Fraud Data Engineer

Medical Insurance
Relocation Benefits
Education Budget
  • Competitive Base Salary
  • Flexible allowance package up to 30% on top of gross salary
  • Award-winning Barcelona office with games and fully stocked pantry
  • Annual company retreats to exotic destinations
  • FC Barcelona VIP Experience
  • In-office chair massages weekly
  • Annual learning budget
  • Relocation Support
  • Comprehensive health insurance with no copayment
  • Daily catered breakfasts & lunches
  • MacBook and branded merchandise
  • Access to global co-working spaces
  • Language lessons (English and Spanish)
  • Various company events throughout the year

Interested in this job?