- Experience
- 5+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 6 days ago
- Work mode
- In office
- Education
- Bachelor's degree or equivalent
- Resume
- Required to apply
Where you'll work
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Job description
About Us
humm group is focused on providing innovative and personalized financial solutions worldwide, aiming to challenge and change the traditional lending approach. We empower our employees to create enduring value and opportunities for colleagues, customers, and shareholders alike.
About the Team
You will be part of a collaborative Data Platform team headed by the Data Platform Lead, which includes five Data Engineers and one DBA. This team is responsible for supporting both operational and strategic projects across the organisation’s data environment in Australia and New Zealand.
Role Overview
The position is a practical Data Engineering role combining day-to-day support of current data platforms with active contribution towards developing a modern data platform. Your duties will include maintaining dependable data operations, monitoring critical workloads, promptly resolving incidents, enhancing data pipelines, and supporting the migration to new technologies.
Typical Daily Activities
- Deliver operational support for existing data platforms and essential data services across Australia and New Zealand.
- Monitor data pipelines and scheduled processes to detect failures or issues, assisting in rapid incident resolution.
- Optimize and improve current data pipelines for increased stability, reliability, and performance.
- Participate in production deployments, testing, monitoring, and troubleshooting tasks.
- Collaborate closely with Data Engineering colleagues and business stakeholders to solve problems and ensure business continuity.
- Adapt working hours as necessary to provide coverage for critical data processing.
Modern Data Platform Development
- Assist in developing and enhancing the modern data platform using technologies such as Snowflake, dbt, and Azure Data Factory (ADF).
- Design and maintain robust, well-documented, and tested data pipelines and data products.
- Aid the migration of data and workloads from legacy systems to the modern platform.
- Support initiatives related to data quality, governance, security, and engineering best practices.
- Identify opportunities to streamline and modernize existing data solutions.
Candidate Profile
- Demonstrates solid expertise in SQL and SQL Server, particularly in supporting production data warehouses, troubleshooting, tuning performance, and managing complex data transformations.
- Hands-on experience with Azure Data Factory for pipeline development, maintenance, monitoring, and issue resolution.
- Knowledgeable in Azure Synapse Analytics and related Azure data services.
- Proven track record in maintaining critical data platforms with a strong emphasis on reliability and incident management.
- Experience with data warehouse automation tools like WhereScape RED is highly valued.
- Familiarity with data quality assurance, security protocols, governance policies, and access control.
- Understanding of orchestration, source control, and CI/CD deployment pipelines for data systems.
- Exposure to additional tech such as Snowflake, dbt Cloud, Python, and AWS S3 is a plus but not mandatory.
Qualifications and Experience
- More than 5 years working with SQL Server-based data warehouse platforms, including operational support responsibilities.
- At least 3 years experience utilizing Azure Data Factory and Azure Synapse in data engineering roles.
- Bachelor’s degree or equivalent qualifications in Computer Science, IT, Engineering, Data Analytics, or related fields.
Minimum education
Bachelor's Degree