Senior Software Engineering

Role Overview

We are seeking an experienced Software Engineering professional with strong expertise in Python, C#/.

NET, enterprise data platforms, and database technologies. This role combines hands-on technical leadership with ownership of strategic technology initiatives supporting business-critical data and analytics capabilities.

Key Responsibilities

• Technical Leadership
• Lead the design and delivery of enterprise-grade software applications and data platforms using Python and C# (.NET).
• Define solution architecture and engineering standards for scalable, resilient, and maintainable systems.
• Act as a technical authority for software engineering, database design, and data platform initiatives.
• Drive modernization of Legacy applications and migration towards cloud-native architectures.
• Review technical designs and code to ensure alignment with engineering standards and best practices.
• Champion software quality, security, performance, and operational excellence.
• Data Platform & Solution Ownership
• Lead delivery of data integration, ETL/ELT, and analytics enablement solutions.
• Oversee design and implementation of data models across operational, analytical, and reporting workloads.
• Ensure alignment with enterprise data strategy, architecture standards, and governance frameworks.
• Drive optimization of database performance, scalability, and data processing capabilities.
• Collaborate with Data Engineering, BI, Analytics, and Architecture teams to deliver integrated solutions.
• Stakeholder Management
• Partner with business stakeholders to understand strategic objectives and translate them into technical solutions.
• Provide technical guidance and recommendations to senior management and project sponsors.
• Manage priorities across multiple initiatives while balancing delivery, risk, and technical debt.
• Communicate complex technical concepts clearly to both technical and non-technical audiences.
• People Leadership & Mentoring
• Mentor and develop software engineers and technical specialists.
• Promote a culture of continuous improvement, accountability, collaboration, and innovation.
• Support recruitment activities including technical assessments and interviews.
• Foster knowledge sharing and engineering best practices across teams.
• Governance, Risk & Controls
• Ensure solutions comply with security, data governance, regulatory, and operational risk requirements.
• Support audit, compliance, and resiliency initiatives.
• Implement appropriate monitoring, logging, and operational support frameworks.
• Drive adoption of CI/CD, automated testing, and DevOps practices across development teams.

Required Skills & Experience

• Engineering & Development
• Extensive experience developing enterprise applications using:
• Python
• C#/.NET Core/.NET 8+
• Strong experience designing distributed systems, APIs, and service-oriented architecture.
• Proven ability to lead technical delivery across multiple projects and teams.
• Experience defining engineering standards, design patterns, and development best practices.
• Database & Data Engineering
• Strong experience with SQL Server, PostgreSQL, and enterprise database platforms.
• Expertise in:
• Data modelling (OLTP, OLAP, dimensional models)
• Query optimization and performance tuning
• Database scalability and resilience
• Data governance and quality management
• Experience delivering large-scale ETL/ELT solutions and enterprise data pipelines.
• Experience with event-driven and messaging architectures.
• Data Platforms & Cloud Technologies
• Hands-on experience with:
• Azure Data Lake
• Databricks
• Snowflake
• Delta Lake
• Azure Synapse Analytics/Microsoft Fabric
• Spark/PySpark
• Strong understanding of:
• Data Lake and Lakehouse architecture
• Hybrid cloud environments
• Enterprise integration patterns
• Modern data formats including Parquet, Avro, and ORC
• DevOps & Platform Engineering
• Experience implementing CI/CD pipelines and DevOps practices.
• Experience with infrastructure automation and environment management.
• Familiarity with:
• Docker
• Kubernetes
• Azure DevOps
• Git-based development workflows

Preferred Qualifications

• Experience leading technology initiatives within Financial Services, Capital Markets, Investment Banking, or Corporate Banking environments.
• Experience delivering cloud migration and platform modernization programs.
• Knowledge of data governance frameworks and regulatory requirements.
• Familiarity with Real Time streaming platforms such as Kafka and Azure Event Hub.
• Understanding machine learning and advanced analytics platforms.
• Bachelor's or Master's degree in computer science, Engineering, Mathematics, or a related discipline.
• Industry certifications in Azure, Data Engineering, Architecture, or Software Engineering.

Leadership Competencies

• Strategic thinking and technology leadership.
• Strong stakeholder engagement and influencing skills.
• Ability to drive delivery across multiple competing priorities.
• Excellent communication and presentation skills.
• Strong decision-making and problem-solving capabilities.
• Ability to create alignment across business and technology functions.
• A collaborative leadership style that promotes trust, inclusion, accountability, and continuous improvement.