UST
Principal Software Engineer – Data Technology Platforms(Associate Data Architect II)
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Role Description
Principal Software Engineer – Data Technology Platforms
Location: London
Start: ASAP
End: As of now till Dec 2026 with possible extensions
Seeking an experienced and data-focused Principal Software Engineer to join our Data Technology Platforms team. This team is responsible for building, enhancing, and operating enterprise-wide data platforms that support operational, analytical, regulatory, and AI-driven business capabilities.
The ideal candidate will have deep expertise in modern data engineering, database technologies, cloud platforms, and data governance. You will play a key role in defining strategic data solutions, partnering with business and technology stakeholders, and delivering scalable, high-performance data platforms that enable data-driven decision making across the organization.
This role is suited to a technology leader who combines strong hands-on engineering skills with strategic thinking, stakeholder management, and a passion for delivering business value through data.
Key Responsibilities
Strategic & Technical Leadership
- Drive the design and evolution of modern, cloud-based data platforms.
- Translate business requirements into scalable, reusable, and strategic data solutions.
- Provide technical leadership across data engineering initiatives and platform modernization efforts.
- Champion best practices in architecture, data governance, quality, security, and scalability.
Solution Delivery
- Analyze business and technical requirements and evaluate solution viability.
- Design, develop, test, and deploy enterprise-grade data solutions.
- Support the full Software Development Lifecycle (SDLC), from requirements through production support.
- Ensure solutions are maintainable, supportable, and aligned with enterprise standards.
- Optimize performance for large-scale data processing and analytics workloads.
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Stakeholder Management
- Partner with business stakeholders, product owners, architects, analysts, engineers, and support teams.
- Act as a trusted advisor on data strategy and platform capabilities.
- Manage competing priorities while balancing immediate delivery needs with long-term strategic objectives.
- Communicate effectively with both technical and non-technical audiences.
Team Collaboration
- Mentor engineers and contribute to the growth of the wider technology organization.
- Promote agile delivery practices and continuous improvement.
- Take ownership of individual deliverables while contributing to overall team success.
- Support operational excellence and knowledge transfer to production support teams.
Required Skills & Experience
Data Engineering & Development
- Strong expertise in SQL database development and optimization.
- Hands-on experience with:
- Snowflake
- DBT
- Azure Data Factory
- Python
- Experience designing and developing enterprise-scale data pipelines and integrations.
- Strong knowledge of data modeling, data warehousing, and ETL/ELT practices.
- Proven ability to tune and optimize solutions handling large data volumes.
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Cloud & DevOps
- Experience with cloud-native data platforms, preferably on Microsoft Azure.
- Strong knowledge of:
- Azure DevOps
- Git
- CI/CD pipelines
- Automated deployment practices
- Experience implementing engineering best practices, testing, and release management processes.
Software Engineering
- Ability to develop well-structured, maintainable, and thoroughly tested solutions.
- Strong problem-solving and analytical skills.
- Experience supporting production systems and driving operational excellence.
Stakeholder & Business Engagement
- Experience working with senior business and technology stakeholders.
- Strong communication and relationship management skills.
- Ability to balance delivery timelines with strategic platform evolution.
Preferred Qualifications
- Experience within Financial Services, Asset Management, Banking, Wealth Management, or Capital Markets.
- Development experience using:
- .NET / C#
- Azure Functions
- Azure Services
- Familiarity with Agile delivery frameworks and methodologies.
- Experience with Test-Driven Development (TDD) and test automation practices.
- Knowledge of modern data governance and data quality frameworks.
- Exposure to AI, analytics, and advanced data platform capabilities.
Skills
- Azure DevOps
- Data Validation
- Azure Functions
- Cloud Data Warehousing
- SQL
- Python
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