Job Title: Senior Software/Data Engineer - Liquidity & Funding Analytics
Location: Dublin, Ireland
Contract Type: Permanent
Business Context:
A leading global financial institution is seeking an experienced Software/Data Engineer to enhance its strategic Liquidity and Funding platform. This Dublin-based role is part of a high-performing global engineering team delivering scalable, data-driven solutions supporting liquidity and funding functions across markets and Treasury operations. The role contributes directly to technology priorities, enabling data transparency, automation, and analytical insights.
Why Join:
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High-Performance Culture: Work with expert, cross-functional teams in a collaborative, innovation-focused environment.
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Key Contributions: Influence technical direction and deliver strategic solutions for global liquidity management.
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Growth & Exposure: Gain deep domain expertise in liquidity management, securities, and funding across multiple asset classes while working with global stakeholders.
Position Overview:
The ideal candidate is a motivated team player with strong technical expertise, capable of scaling ideas, collaborating effectively, and delivering high-quality solutions. You will work on a team delivering global funding and liquidity metrics across a spectrum of capital market products, supporting front-to-back operations.
Required Qualifications:
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Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
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Strong computer science fundamentals: algorithms, data structures, computational complexity.
Non-Technical Skills:
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Excellent communication and teamwork skills.
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Experience collaborating efficiently in a global team.
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Comfortable working in fast-paced environments with flexible goals aligned to business priorities.
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Knowledge of capital markets products and financial industry experience is a plus.
Technical Skills - Software Engineering:
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8-10 years Java experience, strong understanding of JVM internals.
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Proven experience designing and developing secure RESTful APIs and microservices using Spring Boot.
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Strong object-oriented design, clean coding practices, and system design for scalability and reliability.
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Hands-on experience with Git and CI/CD toolsets.
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Proficiency in RDBMS & SQL for analytical and operational workloads.
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Familiarity with application monitoring, observability, and logging solutions.
Technical Skills - Data Engineering:
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8+ years building scalable, reliable data pipelines using Databricks and Apache Spark.
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Expertise in data ingestion, transformation, and orchestration pipelines, ideally in financial or risk domains.
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Strong experience with Azure Data Factory, Azure Data Lake, and modern cloud-native architectures.
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Familiarity with streaming platforms such as Kafka or similar technologies.
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Working knowledge of cloud data warehouses and lakehouse solutions.
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Experience with data quality, observability, unit testing, and performance optimization in distributed environments.
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Understanding of data security, access control, and governance best practices.
Other Responsibilities:
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Actively engage in engineering community initiatives and cross-platform learning.
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Champion quality, innovation, teamwork, and service to the business.
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Share knowledge, mentor colleagues, and foster a positive work environment.
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Communicate effectively with technical and non-technical stakeholders.
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Embrace change, drive productivity, and deliver operational efficiency.
Shared Commitments:
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Think like a customer; deliver trusted advice and exceptional experiences.
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Act like an owner; lead with integrity and drive business results.
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Execute with speed and impact; take calculated risks.
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Innovate with purpose; simplify processes and improve systems.
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Develop colleagues; embrace diversity and respect others.
Inclusiveness:
The organisation is committed to an inclusive and accessible environment where all employees and customers feel valued and supported. Accommodations are available for recruitment or interview processes as required.
