Databricks Engineer

Accenture Australia; Council of the City of Sydney; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Parental leave support

Career development program

Diversity & Inclusion initiatives

Global and local opportunities

Family Inclusive Workplace

Job summary

Accenture Australia is hiring for a Data & AI expert to build AI-ready data platforms on Databricks and lead GenAI initiatives across ANZ. You will contribute to data journeys, governance, and scalable pipelines, working with a large Databricks team and global delivery scale.

You will design, modernize, and accelerate client data architectures, collaborating with stakeholders and applying DataOps practices to ensure reliable deployments and business outcomes.

Qualifications

• Solid hands-on experience with the Databricks Lakehouse Platform, including Delta Lake and DLT for pipeline development.
• Unity Catalog for data governance and access control in data platforms.
• Workflows and job orchestration for production-grade pipelines.
• SQL warehousing for analytics and performance-optimized queries.

Responsibilities

• Design, modernize, and accelerate data journeys for clients using Databricks and Lakehouse assets.
• Collaborate with architects and engineers to deliver end-to-end data solutions.
• Contribute to deployment automation and release management in Lakehouse environments.

Skills

Databricks Lakehouse

Delta Live Tables

Unity Catalog

Workflows

SQL Warehouses

Python

PySpark

Batch & streaming

Cloud platforms

Git CI/CD

DataOps

Stakeholder comms

Tools

Databricks

Git

CI/CD

PySpark

Job description

Join Accenture’s Data & AI practice and help build the next generation of AI‑ready data platforms on Databricks. We’re investing heavily to lead in GenAI, Data & AI, and we bring that momentum to real client outcomes across ANZ. As Accenture, we are Databricks’ largest partner and have earned Global GSI Partner of the Year recognition 7 years in a row (2019–2025) and APJ Industry Leader Partner of the Year 2025. You’ll work alongside one of the largest certified Databricks teams in ANZ, supported by a strong local bench and global delivery scale -designing, modernizing, and accelerating data journeys with proven assets and accelerators that move clients faster from strategy to implementation.

Key Skills

Databricks & Lakehouse Expertise

• Solid hands‑on experience with the Databricks Lakehouse Platform, including:
• Delta Lake and practical use of Delta Live Tables (DLT) for pipeline development
• Unity Catalog for data governance, access control, and data organization
• Workflows and job orchestration for production‑grade pipelines
• SQL Warehouses for analytics and performance‑optimized querying
• Working exposure to advanced capabilities such as AI/BI features and agent‑based workflows, with ability to apply them in client scenarios

Data Engineering

• Proven experience designing and implementing ETL/ELT pipelines across batch and streaming workloads
• Strong understanding of data modelling techniques, data quality frameworks, and end‑to‑end pipeline lifecycle management
• Ability to apply modern data architecture patterns, including data products and domain‑oriented data design

Programming & Distributed Processing

• Strong proficiency in Python and SQL for building scalable data pipelines
• Hands‑on experience with PySpark (or equivalent) for distributed data processing
• Experience working with both batch and streaming pipelines, including performance optimization
• Applies coding best practices, testing, debugging, and code modularity in production environments

Cloud & Ecosystem

• Practical experience working with at least one cloud platform (Azure, AWS, or GCP)
• Hands‑on exposure to cloud‑native data services (e.g. storage layers, orchestration tools, ingestion services)
• Familiarity with APIs and integration patterns for connecting enterprise data systems

Development Practices & Tooling

• Working experience with version control (Git) and CI/CD pipelines in data engineering contexts
• Applied understanding of DataOps and DevOps practices for reliable and repeatable deployments
• Experience contributing to deployment automation and release management in Lakehouse environments

Collaboration & Professional Growth

• Ability to work independently on defined tasks while collaborating effectively with architects and senior engineers
• Strong communication skills with experience engaging both technical and business stakeholders
• Demonstrates ownership of deliverables and contributes to problem‑solving in client engagements
• Proactive in continuous learning, certifications, and staying current with Databricks and cloud ecosystem advancements.

Benefits of working at Accenture:

• 18 weeks paid parental leave
• Long & short‑term career break opportunities
• Structured career development program
• Local and international career opportunities.
• Certified as a Family Inclusive Workplace™
• Flexible Work Arrangements - centered around Accenture’s Truly Human ethos and our commitment to supporting the health and wellbeing of our people.
• We are proud to be in the top 3 of last year’s Diversity & Inclusion Index!

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