Data Engineer
X
XcelirateData Engineering
Lisbon, Lisbon, Portugal. London, England, United Kingdom. Amsterdam, North Holland, Netherlands. Berlin, Berlin, Germany. Paris, Île-de-France, FranceFull-TimeMiddle
Salary98,000 EUR per year
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonSQLApache AirflowGitMLFlowMySQLTableauClickhousedbt
Requirements
- 3+ years of experience as a data engineer.
- Expertise in fraud detection systems.
- Proficiency in Python and SQL.
- Knowledge of orchestration and transformation tools (e.g., Apache Airflow, DBT).
- Strong knowledge of database design, query optimisation, and ETL/ELT workflows.
- Familiarity with MySQL and ClickHouse.
- Experience building and maintaining production data pipelines.
- Familiarity with machine learning models and registries (e.g., MLflow).
- Understanding of CI/CD processes for data pipelines.
- Hands-on experience with data visualization platforms (e.g., Tableau, Superset, Metabase).
- Ability to support with model serving components (e.g., Flask, FastAPI).
- Familiarity with statistical techniques for fraud trend analysis.
- Experience with Git and version control.
Responsibilities
- Build and maintain efficient, scalable data pipelines for fraud detection.
- Enable analysts and product teams to identify and address emerging fraud patterns.
- Collaborate with teams to operationalise and integrate fraud detection models.
- Design and optimise data storage solutions for fraud signals and historical data.
- Create fraud-specific datasets and features to enhance detection accuracy.
- Monitor fraud data pipelines to ensure system reliability and troubleshoot issues.
- Establish and document best practices for fraud-related data engineering.
- Partner with data, product, and engineering teams to address fraud trends.
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