Were Hiring: Data Engineer Fraud & Financial Crime Technology Platform (6-Month Contract)
Are you a talented Data Engineer passionate about transforming data into actionable insights Join our Fraud and Financial Crime Technology Platform (FFCP) team and play a key role in modernising the banks fraud detection and financial crime systems.
As part of our FFCP team youll be at the forefront of innovation helping replace legacy systems with cutting-edge cloud-native solutions. You will work on Client Screening and Transaction Monitoring capabilities ensuring data flows seamlessly to power our fraud detection and investigation engines.
Requirements
What Youll Do:
Design and develop end-to-end ETL and data pipelines in Azure moving away from manual flat-file feeds to automated resilient solutions.
Build and maintain Enterprise Data Warehouse (EDW) assets data marts and business-focused data products using Data Vault 2.0 methodologies.
Work closely with business teams to translate requirements into robust data models and technical pipelines.
Implement monitoring alerting reconciliation and exception handling to ensure high-quality secure and auditable data.
Integrate with external systems and APIs handling authentication pagination and error management.
Support CI/CD deployments DevOps pipelines and operational readiness for production environments.
Collaborate with architects engineers and compliance teams to ensure alignment with overall data strategy and regulatory standards.
What Youll Bring:
Proven experience in Azure Data Factory Databricks Synapse Analytics and ADLS Gen2.
Strong SQL skills (T-SQL stored procedures functions optimization) and experience with SQL Server/SSIS.
Hands-on experience with REST API integrations.
Solid knowledge of data modelling (Data Vault 2.0 dimensional/Kimball).
Experience with Azure Analysis Services CI/CD pipelines and infrastructure-as-code.
Excellent analytical problem-solving and collaborative skills.
Comfortable working in Agile or DevOps-style delivery environments.
Nice to Have:
Experience with financial crime systems (Actimize Dow Jones or similar).
Familiarity with event-driven architectures microservices and data products.
Understanding of KYC AML sanctions frameworks and financial markets.
Programming skills in C#/.Net Core.
Required Skills:
Azure Data Factory Databricks SQL / T-SQL Data Modelling REST API Integration CI/CD / Azure DevOps Data Warehousing / EDW Development
Were Hiring: Data Engineer Fraud & Financial Crime Technology Platform (6-Month Contract)Are you a talented Data Engineer passionate about transforming data into actionable insights Join our Fraud and Financial Crime Technology Platform (FFCP) team and play a key role in modernising the banks fraud...
Were Hiring: Data Engineer Fraud & Financial Crime Technology Platform (6-Month Contract)
Are you a talented Data Engineer passionate about transforming data into actionable insights Join our Fraud and Financial Crime Technology Platform (FFCP) team and play a key role in modernising the banks fraud detection and financial crime systems.
As part of our FFCP team youll be at the forefront of innovation helping replace legacy systems with cutting-edge cloud-native solutions. You will work on Client Screening and Transaction Monitoring capabilities ensuring data flows seamlessly to power our fraud detection and investigation engines.
Requirements
What Youll Do:
Design and develop end-to-end ETL and data pipelines in Azure moving away from manual flat-file feeds to automated resilient solutions.
Build and maintain Enterprise Data Warehouse (EDW) assets data marts and business-focused data products using Data Vault 2.0 methodologies.
Work closely with business teams to translate requirements into robust data models and technical pipelines.
Implement monitoring alerting reconciliation and exception handling to ensure high-quality secure and auditable data.
Integrate with external systems and APIs handling authentication pagination and error management.
Support CI/CD deployments DevOps pipelines and operational readiness for production environments.
Collaborate with architects engineers and compliance teams to ensure alignment with overall data strategy and regulatory standards.
What Youll Bring:
Proven experience in Azure Data Factory Databricks Synapse Analytics and ADLS Gen2.
Strong SQL skills (T-SQL stored procedures functions optimization) and experience with SQL Server/SSIS.
Hands-on experience with REST API integrations.
Solid knowledge of data modelling (Data Vault 2.0 dimensional/Kimball).
Experience with Azure Analysis Services CI/CD pipelines and infrastructure-as-code.
Excellent analytical problem-solving and collaborative skills.
Comfortable working in Agile or DevOps-style delivery environments.
Nice to Have:
Experience with financial crime systems (Actimize Dow Jones or similar).
Familiarity with event-driven architectures microservices and data products.
Understanding of KYC AML sanctions frameworks and financial markets.
Programming skills in C#/.Net Core.
Required Skills:
Azure Data Factory Databricks SQL / T-SQL Data Modelling REST API Integration CI/CD / Azure DevOps Data Warehousing / EDW Development
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