Data Engineer, Fraud

Xcelirate; Berlin; Hybrid; EUR 88.200 - 107.800; Vollzeit

Benefits dieser Stelle

Annual retention bonus

Latest MacBook

Global co-working access

Full flexibility in work location

Team gatherings and cultural events

Zusammenfassung

Xcelirate, located in Berlin, is seeking a Data Engineer to design and maintain robust data infrastructure. This role supports fraud detection and focuses on building scalable data pipelines.

Key responsibilities include developing efficient data pipelines, optimizing data storage solutions, and collaborating with teams to integrate fraud detection models. Candidates should have at least 3 years of experience, proficiency in Python and SQL, and a background in fraud detection systems.

Benefits include an annualized rate of €98,000, flexible work location, top-notch workstations, and regular team events.

Qualifikationen

• 3+ years of experience as a data engineer focused on fraud detection.
• Experience building and maintaining production data pipelines.
• Familiarity with CI/CD processes for data pipelines.

Aufgaben

• Develop and maintain data pipelines for fraud detection.
• Collaborate to operationalize fraud detection models.
• Monitor fraud data pipelines for performance issues.

Kenntnisse

Python

SQL

ETL/ELT workflows

Apache Airflow

DBT

Git

Flask

FastAPI

Tools

Tableau

Superset

Metabase

MySQL

ClickHouse

Jobbeschreibung

About Xcelirate

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.

Position Overview

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

Responsibilities

• Develop and maintain efficient, scalable data pipelines for fraud detection.
• Enable analysts and product teams to identify and address emerging fraud patterns through engineered datasets.
• Collaborate with teams to operationalise external fraud detection models and integrate them into the data infrastructure.
• Design and optimise data storage solutions for analysing 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.

Requirements

• 3+ years of experience as a data engineer with expertise in fraud detection systems or similar.
• Proficiency in Python and SQL, with knowledge of orchestration and transformation tools such as Apache Airflow and 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 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 such as Tableau, Superset, or Metabase.
• Ability to support 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

• Annualised rate of €98,000 with a retention bonus scheme paid every 6 months based on tenure.
• Top‑Notch workstation: latest MacBook and branded merchandise for an optimal work environment.
• Global co‑working access to maintain work‑life flexibility.
• Full flexibility in work location and hours to support work‑life balance.
• Events and gatherings throughout the year, including team gatherings and cultural events.

We 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!

At 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.