Data Engineer

**About Accenture**

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services and Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 799,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

Join Accenture and help transform leading organisations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.

**Job Title:** Data Engineer

Key Responsibilities

As a Data Engineer, you will

• Design, develop, and maintain scalable and efficient data pipelines to support business insights and analytics.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver robust solutions.
• Build and optimize data architectures, ensuring high performance, reliability, and scalability.
• Implement and manage ETL/ELT processes to integrate data from various sources into centralized systems.
• Ensure data security, quality, and governance in compliance with best practices and regulatory requirements.
• Troubleshoot and resolve data-related issues and provide ongoing support to analytics and business teams.

**Key Technical Skills**

To thrive in this role, you should bring

• Proficiency in Programming Languages: Python, Java, or Scala for data manipulation and pipeline development.
• Data Pipeline Expertise: Hands-on experience with ETL/ELT tools and frameworks such as Apache Airflow, Talend, or Informatica.
• Cloud Platforms: Knowledge of cloud services such as AWS (Glue, Redshift, S3), Azure (Data Factory, Synapse), or Google Cloud (BigQuery, Dataflow).
• Data Warehousing: Experience with modern data warehousing solutions like Snowflake, Databricks, or similar.
• Database Management: Strong SQL skills and familiarity with both relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra).
• Big Data Technologies: Familiarity with Apache Spark, Hadoop, or Kafka is a plus.
• Version Control and CI/CD: Experience with Git and CI/CD pipelines for automated deployment and testing.
• Problem Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues effectively.

**Preferred Qualifications**

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience in data engineering or a similar role.
• Knowledge of data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Familiarity with machine learning frameworks and tools is a plus.

**Additional Requirements:**

**Security Clearance Requirement**: Given the secure nature of this role, we are seeking candidates who are Australian Citizens with an active security clearance.

**Why Join Us?**

We offer a dynamic, inclusive, and collaborative work environment that values your growth and well-being. As a part of our team, you will enjoy:

• **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!

* #LI\_GM