Data Engineer - Financial Crime Detection (AML/TF) | Hybrid

ABN AMRO Bank N.V.

Amsterdam

Hybrid

EUR 70,000 - 110,000

Full time

46 hours ago
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Benefits offered by this job

Flexible benefits budget
Five weeks vacation + buy extra weeks
Ergonomic home office setup
Public transport pass

Job summary

ABN AMRO Bank N.V. is seeking an IT Engineer in the Financial Economic Crime (FEC) Transaction Monitoring domain in Amsterdam. You will strengthen in-house applications that detect AML/TF risks, ensuring reliable data flows and effective alerting.

You will collaborate with Compliance, Operations, Data and Technology teams in an Agile DevOps environment. The ideal candidate has 5+ years of Data Engineering experience with PySpark, Azure Databricks and Azure Data Factory, plus strong SQL skills

Qualifications

  • At least 5 years of experience as a Data Engineer.
  • Hands-on experience with PySpark, Azure Databricks, and Azure Data Factory.
  • Experience with PL/SQL and relational databases.
  • Experience working in Agile/Scrum environments.
  • Experience with DevOps practices, including CI/CD and automated deployments.
  • Familiarity with ITIL processes and IT service management.

Responsibilities

  • Maintain and enhance Transaction Monitoring platforms and data flows.
  • Ensure reliability of data pipelines and alerting for financial crime detection.
  • Collaborate with Compliance, Operations, Data and Technology teams.
  • Support regulatory reporting and management information generation.

Skills

Data engineering
PySpark
Azure Databricks
Azure Data Factory
SQL
CI/CD
ITIL
English

Tools

PySpark
Azure Databricks
Azure Data Factory
PL/SQL
Relational databases
ServiceNow

Job description

ABN AMRO Bank N.V. is seeking an IT Engineer in the Financial Economic Crime (FEC) Transaction Monitoring domain in Amsterdam. You will strengthen in-house applications that detect AML/TF risks, ensuring reliable data flows and effective alerting.

You will collaborate with Compliance, Operations, Data and Technology teams in an Agile DevOps environment. The ideal candidate has 5+ years of Data Engineering experience with PySpark, Azure Databricks and Azure Data Factory, plus strong SQL skills

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