Data Engineer & Software Specialist — Snowflake & ETL

ASB Bank Limited; Auckland; On-site; NZD 120,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Wellness programs

Parental leave

Flexible leave

Custom benefits

Job summary

ASB Bank in Auckland/New Zealand is seeking a Software Specialist - Data Engineer to join the Digital and Engineering practice in Albany. You will design, build and implement a reconciliation engine for a new data service layer as part of ASB's modern integration programme.

You'll work with Snowflake, dbt, Python and SQL across cloud and on-prem data systems, building robust ETL processes and data models to enable data-driven decision making within the Customer Tribe.

Qualifications

• Proven experience in data engineering, data integration and ETL processes.
• Strong ability to translate business requirements into technical specifications.
• Experience designing and implementing data models and data pipelines.

Responsibilities

• Collaborate with stakeholders to understand data requirements and translate them into technical specifications.
• Design, build and implement robust data solutions using Snowflake, dbt, Python and SQL.
• Work across cloud-based data platforms and on-premises data systems.
• Build and support ETL processes and data models.
• Contribute to data-driven decision-making across the Customer Tribe.
• Support delivery practices with Git, CI/CD, Octopus Deploy and Azure Storage.

Skills

Data engineering

ETL development

Snowflake

dbt

Python

SQL

Git

CI/CD

Octopus Deploy

Azure Storage

Tools

Snowflake

dbt

Python

SQL

Git

CI/CD

Octopus Deploy

Azure Storage

Job description

ASB Bank in Auckland/New Zealand is seeking a Software Specialist - Data Engineer to join the Digital and Engineering practice in Albany. You will design, build and implement a reconciliation engine for a new data service layer as part of ASB's modern integration programme.

You'll work with Snowflake, dbt, Python and SQL across cloud and on-prem data systems, building robust ETL processes and data models to enable data-driven decision making within the Customer Tribe.