3 months ago
Belfast, United KingdomStaff+
Responsibilities
- Lead the design, engineering, and delivery of cloud-native data services and large-scale data platforms.
- Drive enterprise data transformation through Databricks, Apache Spark, Scala, and AWS-based solutions.
- Deliver data preprocessing, matching engine, AI/GenAI, streaming, reprocessing, and scalable data service capabilities.
- Optimize platform performance, capacity, scalability, resilience, stability, security, and AI enablement.
- Develop methodologies and standards for analysis, design, coding, testing, debugging, and implementation.
- Allocate work and advise or coach developers, analysts, and new team members.
- Consult with end users on system specifications and incorporate requirements into system design.
- Influence and negotiate with senior leaders and communicate with external parties.
- Assess and manage technology, regulatory, compliance, and operational risks.
Requirements
- In-depth commercial experience with Databricks Lakehouse architecture, Spark, Delta Lake, workflows, and performance tuning.
- Strong Apache Spark and Scala experience for high-performance distributed data processing and optimization.
- Experience building cloud-native data platforms and distributed computing solutions on AWS.
- Experience with distributed data services architecture, including processing, reprocessing, streaming, and scalability.
- Experience with engineering architecture, solution delivery, engineering governance, CI/CD, and technical leadership.
- Experience implementing projects and performing systems analysis and software application programming.
- Demonstrated subject matter expertise in applications development and knowledge of client core business functions.
- Demonstrated leadership, project management, development, relationship-building, and consensus-building skills.
- Bachelor’s degree or equivalent experience required; master’s degree preferred.
- Preferred experience with Kafka, event-driven architecture, Apache Iceberg, Delta Lake, Python, AI/ML, LLM integration, and financial services or capital markets.
Benefits
- Hybrid working model with up to two days working from home per week.
- 27 days of annual leave plus bank holidays.
- Discretionary annual performance-related bonus.
- Private medical care and life insurance.
- Employee Assistance Program and pension plan.
- Paid parental leave and employee, family, and friends discounts.
- Access to learning and development resources.
Tech Stack
Categories
Data Engineering
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.