SOFTGAMES
Data Engineer (Mid-Sen Level)(m/w/x)
Full-timeRemoteExperienced
Berlin
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XCXcelirate
Data Engineer, Fraud(m/w/x)
Berlin
from 98,000 / year
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Designing and maintaining data pipelines for fraud analytics and reporting at a tech platform developer. Expertise in fraud detection systems and Python required. Latest MacBook, retention bonus scheme.
Requirements
- 3+ years as data engineer
- Expertise in fraud detection systems or similar
- Proficiency in Python
- Proficiency in SQL
- Knowledge of orchestration tools
- Knowledge of transformation tools
- Strong knowledge of database design
- Strong knowledge of query optimisation
- Strong knowledge of ETL/ELT workflows
- Knowledge of relational databases (e.g., MySQL)
- Knowledge of columnar databases (e.g., ClickHouse)
- Experience building production data pipelines
- Experience maintaining production data pipelines
- Familiarity leveraging machine learning models
- Familiarity with model registries (e.g., MLflow)
- Understanding of CI/CD processes for data pipelines
- Hands-on experience with data visualization platforms
- Ability to support model serving components
- Familiarity with statistical techniques for fraud analysis
- Familiarity with statistical techniques for fraud reporting
- Experience with Git
- Experience with version control in collaborative workflows
- Good fit even if not meeting 100% of requirements
Tasks
- Design and maintain robust data pipelines
- Support fraud analytics and reporting
- Integrate external fraud detection models
- Optimize data storage for fraud analysis
- Create fraud-specific datasets and features
- Monitor and optimize fraud data pipelines
- Document best practices for fraud data engineering
- Collaborate with data, product, and engineering teams
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Apache Airflow
- DBT
- MySQL
- ClickHouse
- MLflow
- Tableau
- Superset
- Metabase
- Flask
- FastAPI
- Git
Benefits
Bonuses & Incentives
- Retention bonus scheme
- Generous bonus paid every 6 months
Modern Equipment
- Latest MacBook
Corporate Discounts
- Branded merchandise
Startup Environment
- Optimal work environment
- Global co-working access
Flexible Working
- Flexible work location
- Flexible work hours
- Work-life balance
Team Events
- Team gatherings
- Cultural events
- Other fun activities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Xcelirate and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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XCXcelirate
Data Engineer, Fraud(m/w/x)
Berlin
from 98,000 / year
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Designing and maintaining data pipelines for fraud analytics and reporting at a tech platform developer. Expertise in fraud detection systems and Python required. Latest MacBook, retention bonus scheme.
Requirements
- 3+ years as data engineer
- Expertise in fraud detection systems or similar
- Proficiency in Python
- Proficiency in SQL
- Knowledge of orchestration tools
- Knowledge of transformation tools
- Strong knowledge of database design
- Strong knowledge of query optimisation
- Strong knowledge of ETL/ELT workflows
- Knowledge of relational databases (e.g., MySQL)
- Knowledge of columnar databases (e.g., ClickHouse)
- Experience building production data pipelines
- Experience maintaining production data pipelines
- Familiarity leveraging machine learning models
- Familiarity with model registries (e.g., MLflow)
- Understanding of CI/CD processes for data pipelines
- Hands-on experience with data visualization platforms
- Ability to support model serving components
- Familiarity with statistical techniques for fraud analysis
- Familiarity with statistical techniques for fraud reporting
- Experience with Git
- Experience with version control in collaborative workflows
- Good fit even if not meeting 100% of requirements
Tasks
- Design and maintain robust data pipelines
- Support fraud analytics and reporting
- Integrate external fraud detection models
- Optimize data storage for fraud analysis
- Create fraud-specific datasets and features
- Monitor and optimize fraud data pipelines
- Document best practices for fraud data engineering
- Collaborate with data, product, and engineering teams
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Apache Airflow
- DBT
- MySQL
- ClickHouse
- MLflow
- Tableau
- Superset
- Metabase
- Flask
- FastAPI
- Git
Benefits
Bonuses & Incentives
- Retention bonus scheme
- Generous bonus paid every 6 months
Modern Equipment
- Latest MacBook
Corporate Discounts
- Branded merchandise
Startup Environment
- Optimal work environment
- Global co-working access
Flexible Working
- Flexible work location
- Flexible work hours
- Work-life balance
Team Events
- Team gatherings
- Cultural events
- Other fun activities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Xcelirate and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Xcelirate
Industry
IT
Description
Xcelirate develops technologically-advanced platforms accessed by thousands of users, aiming for market dominance and global expansion.
Not a perfect match?
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