Cloud Data Engineering Lead - Databricks & AI (Hybrid)

Citibank (Switzerland) AG

Belfast City District

Hybrid

Confidential

Full time

14 days+

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Benefits offered by this job

27 days annual leave
Discretional annual bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Parental Leave
Learning & development resources

Job summary

Citi Belfast is seeking an experienced Data Engineering Lead to drive cloud-native data services and Databricks adoption. You will lead Spark/Scala implementations, AI-enabled analytics, and scalable data platforms on AWS, aligning with enterprise standards and governance.

You will mentor engineers, coordinate with senior leaders, and guide data processing, optimisation and risk-aware delivery across the GRU tech space.

Qualifications

  • Bachelor’s degree in a relevant field; Master’s degree preferred.
  • Proven experience delivering cloud data platforms and data services.
  • Subject Matter Expert in applications development and data engineering.
  • Strong leadership, governance, and CI/CD delivery capabilities.

Responsibilities

  • Lead design, engineering and delivery of cloud data services and Databricks/AWS data solutions.
  • Drive migration to Databricks, Spark/Scala optimisations and AI-enabled capabilities.
  • Set engineering standards, mentor developers, and coordinate with senior leadership.
  • Ensure scalable, secure, resilient data platforms and effective risk management.

Skills

Databricks
Spark/Scala
AWS Cloud
Data Services
Architecture & Delivery
Leadership
Project management
Systems analysis
Applications Development SME
Stakeholder liaison

Education

Bachelor's degree
Master's degree preferred

Job description

Citi Belfast is seeking an experienced Data Engineering Lead to drive cloud-native data services and Databricks adoption. You will lead Spark/Scala implementations, AI-enabled analytics, and scalable data platforms on AWS, aligning with enterprise standards and governance.

You will mentor engineers, coordinate with senior leaders, and guide data processing, optimisation and risk-aware delivery across the GRU tech space.

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