Data Engineer at Xcelirate

Compensation

€98,000/yr

Setup: Remote, Hybrid
Location: Berlin
Type: Contract
Posted: Jun 8, 2026

Description

Xcelirate is seeking a Data Engineer to design, develop, and maintain robust data infrastructure, focusing on fraud detection use cases. This role involves building scalable data pipelines, optimizing storage, integrating machine learning models, and collaborating with cross-functional teams to enhance fraud detection and analytics.

Required Skills

Python
SQL
Apache Airflow
DBT
database design
query optimisation
ETL/ELT workflows
MySQL
ClickHouse
machine learning models
MLflow
CI/CD processes
data visualization platforms
Tableau
Superset
Metabase
Flask
FastAPI
statistical techniques
Git

Additional Information

Required Previous Experiences: 3+ years of experience as a data engineer with some expertise in fraud detection systems or similar
Preferred Qualifications: 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

About Xcelirate

Xcelirate

technology

Xcelirate describes itself as a global technology innovator that stretches the possibilities of digital innovation. It builds exceptionally well-designed products with exceptionally talented individuals. The company says it is all about connecting people. It describes its team as an energetic community of diverse nationalities, with members from the US, UK, Canada, Spain, Greece, Russia, the Philippines, Australia, Singapore and more.