Senior Application Engineer

We are looking for a Senior Application Engineer to join our Regulatory Reporting & Data Platforms team.

This role sits at the intersection of application engineering, data warehousing, cloud technologies, and operational excellence.

You will play a key role in supporting and evolving platforms that deliver critical regulatory, financial, and member reporting services across global markets.

Our systems process large volumes of trade, collateral, position, and financial data that support regulatory obligations and business operations across multiple jurisdictions.

This is an excellent opportunity for someone who enjoys solving complex data and application challenges, working with modern cloud and data technologies, and contributing to highly visible business-critical platforms.

Responsibilities

• Own and Support Critical Services

+ Support and maintain business-critical applications across Production, UAT, and Pre-Production environments. + Monitor platform health, data pipelines, applications, and reporting services. + Solve incidents and perform root cause analysis. + Drive sustainable solutions that improve reliability and reduce operational risk. + Collaborate with global teams to ensure seamless service delivery.

• Build and Improve Data Solutions

+ Support enterprise data warehouse and reporting platforms. + Analyze and optimize complex SQL queries and data processes. + Investigate data quality, reconciliation, and reporting issues. + Contribute to scalable and efficient ETL/ELT solutions. + Help improve data governance, observability, and lineage capabilities. + Develop and enhance data visualization solutions that deliver actionable insights to business and technology stakeholders. + Support operational reporting, service monitoring, and KPI/KRI dashboards.

• Deliver Engineering Improvements

+ Design and implement enhancements and defect fixes. + Automate manual processes and operational workflows. + Improve platform performance, scalability, and resilience. + Contribute to modernization initiatives and cloud adoption programs.

• Drive Operational Excellence

+ Participate in incident, problem, and organizational change processes. + Support production releases and deployments. + Improve monitoring, alerting, and observability capabilities. + Share knowledge and contribute to team documentation and engineering standards.

• Partner Across the Organization

+ Work closely with business, product, development, data, and infrastructure teams. + Communicate effectively with both technical and non-technical team members. + Act as a trusted technical partner during investigations, projects, and system enhancements.

Requirements

• Data Warehousing & Databases

+ Strong SQL development and data analysis skills + Data warehouse design and support + Snowflake + Data modelling and data integration concepts + Query tuning and performance optimization + Data reconciliation and root cause analysis

• Data Engineering & Integration

+ ETL/ELT pipelines + DBT + Apache Airflow or Managed Workflows for Apache Airflow (MWAA) + Data transformation and orchestration frameworks

• Programming & Automation

+ Python + Shell scripting (Unix/Linux) + PowerShell + Process automation and operational tooling

• Cloud & Platform Technologies

+ Experience with one or more cloud platforms:

• AWS
• Microsoft Azure equivalents

• Monitoring & Reliability

+ Datadog + Application monitoring and alerting platforms + Operational dashboards and observability tooling + Performance and capacity analysis

• DevOps & Engineering Practices

+ GitLab + CI/CD pipelines + Infrastructure as Code + Terraform + Agile delivery practices + Release and deployment automation

• Data Visualization & Analytics

+ Experience developing interactive dashboards and data visualizations with Power BI + Ability to translate complex business and operational data into meaningful insights. + Knowledge of reporting, analytics, and visualization standard methodologies. + Familiarity with self-service analytics and business intelligence platforms.

Nice to Have

• Regulatory reporting platforms
• Financial markets or clearing services exposure
• SAP Business Objects
• Control-M
• SnowPro Certification
• AWS or Azure certifications
• ITIL Foundation Certification
• Data governance and metadata management
• Experience using AI solutions to automate engineering and operational workflows