Data Engineering Lead (SVP)

Citi; Belfast City District; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

27 days annual leave

Performance bonus

Private Medical Care

Employee Assistance Program

Pension Plan

Parental Leave

Employee discounts

Learning resources

Job summary

Citi is seeking a senior data engineer to lead cloud-native data services using Databricks and Spark on AWS. You will drive migration to Databricks, optimize performance, and mentor engineers across the GRU tech space.

You will shape enterprise data capabilities, implement scalable solutions, and ensure secure, resilient architectures with AI-enabled features while collaborating with senior leaders and end users.

Qualifications

• Databricks – Lakehouse architecture, Spark, Delta Lake, workflows and performance tuning.
• Apache Spark & Scala – High-performance distributed data processing and optimisation.
• Cloud Data Engineering (AWS) – Cloud-native data platforms and distributed computing.
• Data Services Architecture & Engineering – Distributed processing, reprocessing, streaming and scalable data services.
• Engineering Architecture & Technical Delivery – Solution architecture, engineering governance, CI/CD and technical leadership.
• Experience in implementing projects.
• Experience in systems analysis and programming of software applications.
• Demonstrated SME in Applications Development.
• Demonstrated knowledge of client core business functions.
• Demonstrated leadership, project management, and development skills.
• Relationship and consensus building skills.

Responsibilities

• Lead the design, engineering and delivery of next generation cloud data services.
• Drive transformation of enterprise data capabilities using Databricks and AWS.
• Develop methodologies and standards for program analysis, design, coding, testing, debugging and implementation.
• Consult with end users to identify system specifications and incorporate into design.
• Coach developers, analysts and new team members; allocate work accordingly.
• Influence senior leaders and communicate with external parties.

Skills

Databricks

Spark

Scala

AWS

Data engineering

CI/CD

Leadership

Communication

Problem solving

Education

Bachelor’s degree

Master’s degree preferred

Tools

Databricks

Python

Job description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.

Role Overview

Part of the Enterprise Data organisation, this role leads the engineering of cloud-native data services for the firm’s strategic platform, driving the migration to Databricks and delivering scalable Spark/Scala solutions on AWS.

The overall objective of this role is to lead applications systems analysis and programming activities. Proven leadership in building and scaling enterprise data services, driving cloud transformation, optimising performance, capacity, and delivering AI enabled operational and analytics platform.

Responsibilities

• Lead the design, engineering and delivery of next generation cloud data services supporting data pre-processing, advances matching engines, AI/GenAI services and large-scale data platforms. This role will drive transformation of enterprise data capabilities using Databricks, scala/spark and cloud native architectures, ensuring platform is stable, scalable, resilient, secure and AI enabled.
• As platform landscape evolved towards cloud-native, AI enabled and highly scalable architecture, there is need for dedicated senior engineering capability to design, implement and optimise Databricks/AWS-based data solutions across GRU tech space
• Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation
• Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals
• Consult with end users to identify system function specifications and incorporate into overall system design
• Allocate work, and act as an advisor/coach developers, analysts, and new team members
• Influence and negotiate with senior leaders and communicate with external parties
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Skills & Experience

Essential

• Proven in-depth commercial experience in the following key areas:
• Databricks – Lakehouse architecture, Spark, Delta Lake, workflows and performance tuning.
• Apache Spark & Scala – High-performance distributed data processing and optimisation.
• Cloud Data Engineering (AWS) – Cloud-native data platforms and distributed computing.
• Data Services Architecture & Engineering – Distributed processing, reprocessing, streaming and scalable data services.
• Engineering Architecture & Technical Delivery – Solution architecture, engineering governance, CI/CD and technical leadership.
• Experience in implementing projects
• Experience in systems analysis and programming of software applications
• Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development
• Demonstrated knowledge of client core business functions
• Demonstrated leadership, project management, and development skills
• Relationship and consensus building skills

Preferred

• Kafka / Event-Driven Architecture
• Apache Iceberg / Delta Lake
• Python
• AI/ML & LLM integration
• Financial Services / Capital Markets

Education

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

What we’ll provide you

By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

• 27 days annual leave (plus bank holidays)
• A discretional annual performance related bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends
• Access to an array of learning and development resources

Visit our Global Benefits page to learn more.

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

#LI-MR7

Job Family Group: Technology

Job Family: Applications Development

Time Type: Full time

Most Relevant Skills: Please see the requirements listed above.

Other Relevant Skills: For complementary skills, please see above and/or contact the recruiter.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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