The Data Engineer, Specialist is responsible for building and maintaining scalable data pipelines to ensure seamless integration and efficient data flow across various platforms. This role involves designing, developing, and optimizing ETL (Extract, Transform, Load) processes, managing databases and leveraging big data technologies to support analytics and business intelligence initiatives.

Responsibilities:

• Writes ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing.
• Troubleshoots software and processes for data consistency and integrity. Integrates large scale data from a variety of sources for business partners to generate insight and make decisions.
• Translates business specifications into design specifications and code. Responsible for writing complex programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
• Partners with internal clients to gain an enhanced understanding of business functions and informational needs. Gains expertise in tools, technologies, and applications/databases in specific business areas and company-wide systems.
• Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members.
• Tests code thoroughly for accuracy of intended purpose. Reviews end product with the client to ensure adequate understanding. Provides data analysis guidance as required.
• Designs and conducts training sessions on tools and data sources used by the team and self-provisioners. Provides job aids to team members and business users.
• Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production.
• Participates in special projects and performs other duties as assigned.

Qualifications:

• Minimum of five years data analytics, programming, database administration, or data management experience.
• Undergraduate degree or equivalent combination of training and experience.
• Strong expertise in SQL, Python, or Scala for data processing, automation and transformation.
• Hands-on experience with big data frameworks such as Apache Spark, Hadoop, or Kafka for real-time and batch processing.
• Experience in cloud data platforms including AWS Redshift, Google Big Query, or Azure Synapse, with proficiency in cloud-native ETL and data pipeline tools.
• Strong understanding of data modeling principles, relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra).

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a missionwe're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.