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Mid-level generalist Data Engineer role, hybrid working and known bank brand create high applicant competition.
Data engineering skills are broadly transferable, though banking tools/processes moderately increase domain specificity.
Explicit 3–5 years and mandatory GCP/BigQuery/DBT/Python stack raise strictness to high.
Assist in design, development, and maintenance of Data Product pipelines within GCP ecosystem under senior engineer guidance.
Provide production support including incident management via ServiceNow for data services.
Identify and suggest improvements in IT security processes and data management systems within the unit.
3-5 years of experience in data engineering with GCP Data Services Ecosystem (Scheduled Queries, DataForm, DBT, DataProc, etc).
Strong skills in SQL, BigQuery, Python, and Cloud Composer required.
Experience with production support and ServiceNow incident management mandatory.
Work Experience Required: 3-5 years.
Capable of independently analyzing data and applying existing procedures to support and improve data products.
Experience in navigating established IT security and change management processes.
Able to allocate tasks to team members and coach others, indicating some leadership or team coordination capability.