Hybrid AI Data Engineer

Posted 2 months ago

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About the role

  • Data Engineer preparing and transforming data sources for banking and capital market projects. Working collaboratively on mission-critical projects in financial services with Capco.

Responsibilities

  • Prepare, ingest, clean, transform, and pipeline relevant data sources (banking systems, transaction logs, compliance data) for training or retrieval; enable secure integration.

Requirements

  • 5+ years related experience.
  • Strong in ETL/ELT pipelines, big data tools (e.g. Spark, Airflow, dbt).
  • Knowledge of data warehouses, streaming (Kafka, etc.), relational and NoSQL stores.
  • Experience with data privacy, masking, encryption, compliance (GDPR, PCI, etc.).
  • API / adapter development, connectors to core banking systems.
  • Analytical mind and problem-solving aptitude.
  • Strong organizational skills.
  • BSc/BA in Computer Science, Engineering, or a related field.

Benefits

  • Access to industry-focused talent globally
  • Ability to leverage best-in-class innovative products and solutions for complex architecture and large-scale transformation
  • Extended global geographic market reach
  • Ability to capitalize on our client footprint and deep domain expertise within financial services and energy

Job title

AI Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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