Data Engineer (12M FTC)

About Us

At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

About the Role

As a Data Engineer in the Operational Risk and Compliance Team, you will drive the data engineering agenda within Australia Risk, ensuring the delivery of best practice end-to-end data engineering while adhering to ANZ architecture standards. You will challenge inefficient engineering practices, influence change, and implement smart data engineering solutions to drive E2E application delivery and support the uplift of data engineering capability. 

Additionally, you will be responsible for designing and creating data processing solutions that enable value from analytic models to drive rapid decision-making.

Role Type: Fixed Term (12 Month)
Role Location: Melbourne
Work Hours: Full-Time

What will your day look like?

• Financial & Customer: Drive the data engineering agenda within Australia Risk, ensuring best practices and adherence to ANZ architecture standards. Challenge inefficient practices, influence change, and implement solutions to support the Enterprise Analytics roadmap and improve customer financial wellbeing.
• Process: Design data structures for ingestion, integration, and analytics on various technologies. Build robust, fault-tolerant data pipelines to clean, transform, and aggregate data into usable databases or sources.
• People: Foster collaborative relationships with colleagues locally and globally. Work in cross-skilled squads to build end-to-end features, supporting Data Analysts with analytical and modeling activities.
• Risk Compliance: Identify and address trends, risks, issues, and opportunities, escalating to senior management as needed.
• Technical: Build and maintain scalable data pipelines for machine learning and LLM models. Utilize big data technologies (e.g., Spark, Hadoop, BigQuery, Snowflake) to manage large datasets efficiently. Preprocess, clean, and transform unstructured data for ML and AI applications. Design and implement data storage solutions (e.g., data lakes, vector databases). Collaborate with data scientists and ML engineers to optimize data pipelines. Ensure data quality, governance, and security. Integrate diverse data streams using APIs and external sources. Monitor and optimize data pipeline performance for scalability and efficiency.

What will you bring?

• Proficient in SQL and Python (experience with PySpark, Pandas, or Dask is a plus).
• Hands-on experience with big data technologies (e.g., Spark, Hadoop, BigQuery, Snowflake) and cloud platforms (AWS, GCP, Azure).
• Familiarity with data lake and warehouse solutions for large-scale data processing.
• Knowledge of vector databases and retrieval-augmented generation (RAG) for AI applications (a plus).
• Experience with handling large unstructured data.
• Experience with unstructured and unsupervised data in ML/LLM applications.
• Proficient in designing and implementing data storage solutions (e.g., data lakes, vector databases) for efficient retrieval for ML models.
• Strong problem-solving skills and ability to work in fast-paced, cross-functional teams.
• Expertise in designing and building high-quality, scalable data products. Building robust, fault-tolerant data pipelines to clean, transform, and aggregate data.
• Familiarity with ML workflows, data preprocessing techniques, and optimizing data pipelines for model training and inference.
• Exposure to ML model deployment, MLOps best practices, and experience with LLMs, NLP models, or generative AI applications (a plus).

So why join us?

From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive.

But it's not just our customers who'll feel your impact. You'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career.

We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.

At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you're a candidate with a disability or access requirement, and have an enquiry about the support provided, please let us know on your application or visit ANZ Accessibility and Inclusion Programs for alternate contact methods.

To find out more about working at ANZ, visit https://www.anz.com.au/careers. You can apply for this role by visiting ANZ Careers and searching for reference number 90622 .
 

Job Posting End Date

02/04/2025 , 11.59pm, (Melbourne Australia)