Senior Data Engineer (AML)

Our client is a leading player in the financial industry focused on Anti-Money Laundering (AML) processes.

• Over 5 years of experience in data engineering or related fields.
• Advanced knowledge of Python, SQL, and Databricks (PySpark).
• Experience designing and implementing ETL processes.
• Strong analytical skills and ability to create comprehensive business analyses.
• Proven ability to develop and document data architecture solutions.
• Excellent teamwork and communication skills.

Nice to have:

• Experience with PL/SQL and batch data processing.
• Knowledge of API integration and data parsing techniques.

• Design and implement ETL processes, data parsing, and architecture to support AML data centralization and migration.
• Develop robust data pipelines using Python, SQL (Teradata), and PySpark within Databricks environments.
• Integrate diverse data sources via API and batch processes, ensuring seamless data flow and accuracy.
• Collaborate with teams to translate business requirements into efficient technical solutions and architecture.
• Optimize existing ETL workflows and facilitate migration to new analytical environments.
• Conduct detailed data analysis and develop business analysis reports to support compliance efforts.
• Document and communicate technical solutions clearly to multi-disciplinary teams.

Only candidates with an existing legal right to work in the European Union will be considered for this role.