About the role

  • Senior Data Engineer responsible for building and optimizing data pipelines for banking analytics initiatives. Collaborating with data teams to ensure data quality and readiness for enterprise use.

Responsibilities

  • Architecting, creating and maintaining data pipelines.
  • Assist with renovating the data management infrastructure to drive automation in data integration and management.
  • Work in partnership with data science teams and with business analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements.
  • Train counterparts across the organization in data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases.
  • Work with data governance teams and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse.

Requirements

  • Bachelor's Degree in computer science, statistics or related field, or equivalent related work experience.
  • 4+ years of related experience in data management disciplines including data integration, data modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
  • 4+ years of experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative, experience with data preparation tools and database programming languages.

Benefits

  • Flexible work arrangements
  • Professional development opportunities

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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