Design, develop, and maintain scalable data pipelines for market, trade, position, and reference data processing.
Develop complex PL/SQL programs, database procedures, and performance tuning solutions.
Build and maintain Python-based data integration and transformation frameworks.
Develop Shell and/or Perl scripts to support automation, operational controls, and platform maintenance.
Design ETL/ELT processes supporting large-scale financial data platforms.
Facilitate ingestion via data shares and transformation of data into Snowflake-based data environments.
Integrate data from external market data vendors, custodians, brokers, and internal applications.
Design and support Kafka-based event-driven integration solutions.
Implement data quality, reconciliation, and monitoring controls across critical data flows.
Support enterprise scheduling using Control-M and/or AutoSys.
Drive improvements in scalability, resilience, observability, and operational efficiency.
Provide L3 support for critical production applications and data services.
Lead root cause analysis and problem management activities.
Support audit, compliance, and regulatory requirements relating to financial data.
Ensure adherence to SDLC, release management, change management, and operational controls.
Participate in disaster recovery, resilience, and operational readiness activities.
Partner with business stakeholders across Investment Management, Operations, Risk, and Compliance.
Support strategic data platform modernization initiatives and cloud transformation programs.
Contribute to technical roadmaps and architecture decisions.
Your skills and experience
Mandatory Skills
Technical Skills
Strong PL/SQL development and database performance tuning experience.
Advanced Python programming skills. (Data ingestion, validation and recon, automation and enrichment)
Strong Shell Scripting and/or Perl Scripting experience.
Experience with Snowflake Data Cloud and data shares.
Strong knowledge of ETL, data integration, and data processing frameworks.
Experience with enterprise scheduling tools such as Control-M or AutoSys.
Experience working with Kafka and event-driven architectures.
Strong SQL and relational database expertise.
Experience supporting mission-critical production environments.
Asset Management Domain Knowledge
Good understanding of the Asset Management industry.
Experience with
Equities
Fixed Income
Derivatives
Mutual Funds / ETFs
Alternative Investments (desirable)
Hands-on experience with
Trade Data
Position Data
Security Master Data
Market Data Feeds
Investment Reference Data
Good to Have
Microservices development experience.
Experience with cloud platforms (Azure preferred).
Experience with monitoring and observability tools.
Understanding of distributed application architectures.
Knowledge of modern data platform technologies and streaming architectures.
Experience
8-12 years of technology experience.
5+ years in Financial Services, Asset Management, or Capital Markets.
Demonstrated experience delivering enterprise-scale data engineering solutions.
Experience working in Agile delivery environments.
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
How we’ll support you
Training and development to help you excel in your career.
Coaching and support from experts in your team.
A culture of continuous learning to aid progression.
A range of flexible benefits that you can tailor to suit your needs.
About us and our teams
Please visit our company website for further information
https://www.db.com/company/company.html
We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.
