At a Glance
- Tasks: Lead the design and delivery of innovative cloud data services at Citi.
- Company: Join Citi, a global leader in finance and technology.
- Benefits: Enjoy 27 days annual leave, private medical care, and a hybrid working model.
- Other info: Dynamic work environment with opportunities for continuous learning and development.
- Why this job: Make a real impact on global finance while growing your career with mentorship.
- Qualifications: Experience in Databricks, Spark, AWS, and strong leadership skills required.
The predicted salary is between 90000 - 110000 £ per year.
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
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.
Data Engineering Lead (SVP) employer: Citi
Citi is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a fast-paced financial services environment. With generous benefits such as 27 days of annual leave, private medical care, and extensive learning resources, employees are empowered to grow both personally and professionally. Located in a vibrant city, Citi provides unique opportunities for collaboration across global teams, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead (SVP)
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We think you need these skills to ace Data Engineering Lead (SVP)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Citi, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Citi. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Citi
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Citi!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
