Offer summary

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Finance, or related discipline., 7-10 years of experience in data engineering or system architecture., Proven track record in building large-scale data systems., Expertise in Python and SQL., Experience with AWS and automation scripting..

Key responsabilities:

Architect and develop a financial data processing system.

Oversee data standardization and normalization from various sources.

Ensure data integrity and compliance with regulations.

Monitor system performance and implement disaster recovery protocols.

Work with financial department to address their technical needs.

Job description

We are seeking an experienced and highly skilled Senior Financial Data Systems Engineer to architect, develop, and oversee a mission-critical financial data processing system. This role is integral to our operations, ensuring the seamless integration, processing, and delivery of diverse transactional data essential for financial reporting, critical reconciliation processes and strategic decision-making.

WHAT YOU’LL BE DOING:

Architect a scalable and secure financial data processing system aligned with corporate objectives and compliance requirements.
Develop advanced automation solutions for the seamless integration of transactional data from multiple internal platforms and external sources.
Oversee the standardization and normalization of complex and frequently changing transactional data formats from a variety of global sources.
Ensure data integrity, accuracy, and consistency.
Monitor system performance rigorously, implementing proactive measures to guarantee uptime and reliability.
Establish and maintain disaster recovery protocols and failover mechanisms to protect against data loss and service interruptions.
Lead initiatives for system optimization, scaling, and the integration of new technologies.
Evaluate and implement industry best practices to enhance system efficiency and effectiveness.
Design and implement system features that facilitate the financial department's ability to perform reporting, audit and data reconciliation effectively.
Provide robust data outputs and interfaces that support reporting, audit and reconciliation activities, including reporting tools, dashboards, and data validation mechanisms.
Work closely with the financial department to understand their needs and translate them into technical solutions within the system.
Ensure that the system's functionalities align with the department's workflows and enhance their efficiency.
Ensure all data handling and processing activities comply with relevant financial regulations and internal policies.
Stay abreast of regulatory changes that may impact data processing and reporting.
Maintain detailed documentation of system architectures, processes, configurations, and changes.
Document features and functionalities that support the financial department's reconciliation processes.

WHAT WE LOOK FOR IN YOU:

Bachelor’s or Master’s degree in Computer Science, Information Systems, Finance, Engineering, or a related discipline.
Minimum of 7-10 years of experience in data engineering, system architecture, or a similar role within the financial services industry.
Proven track record in building and maintaining large-scale, mission-critical data systems.
Experience in developing systems that support financial data reconciliation processes.
Expertise in Python.
Expertise in automation and scripting for ETL processes and system maintenance.
Database and Data Processing:
Deep understanding of SQL.
Proficiency in data modelling, warehousing, and handling large volumes of diverse transactional data.
Experience with data ingestion from varied sources including APIs, file transfers, and messaging systems.
Knowledge of developing user interfaces and/or APIs that facilitate data access and manipulation by other departments.
Experience with AWS.
Familiarity with DevOps practices, continuous integration, and deployment tools.
Ability to align technical solutions with business objectives and regulatory requirements.
Proactive in identifying opportunities for system improvements and risk mitigation.
Exceptional leadership skills with experience managing technical teams.
Excellent communication skills, capable of articulating complex concepts clearly and concisely.
Strong analytical mindset with meticulous attention to detail.
Proven ability to troubleshoot complex systems and resolve issues efficiently.
In-depth understanding of financial markets, trading systems, and transaction processing.
Familiarity with compliance standards and regulatory frameworks affecting financial data processing.