Senior Data Engineer, Governance & Platform Lead

Accenture PLC; Australia; On-site; AUD 120,000 - 170,000; Full time

Benefits offered by this job

Progressive Employee Benefits – AU

Health & Wellbeing

Leave options and sustainability

Job summary

Accenture PLC in Australia (New South Wales) seeks a data-focused engineer to design, build and optimise data pipelines and scalable data solutions. You will collaborate with Senior Data Engineers and Architects to deliver reliable data for business decisions, using CI/CD practices in a DevOps environment.

You will wrangle and ingest data from multiple sources, ensure data quality, and contribute to modelling and analytics across teams.

Qualifications

• Experience delivering data solutions and pipelines in a cross-functional environment.
• Ability to work with senior engineers to design data models and optimise performance.
• Proficiency with data wrangling, ingestion, and quality assurance processes.
• Ability to communicate complex technical concepts to non-technical stakeholders.

Responsibilities

• Actively contribute to evaluating complex business information to define problems and implement best-practice solutions.
• Collaborate with Senior Data Engineers and Architects on data design for optimisation.
• Install, test and maintain data systems using multiple data sources and analytical methods.
• Source and analyse datasets from various sources to enable ingestion and curation for loading and use.

Skills

Data analysis

Cloud fundamentals

SQL

Python

Spark

Kafka

CI/CD

DevOps

Data wrangling

ETL

Data visualization

Hadoop

Tools

SQL tools

Spark/Big Data tools

Kubernetes

Job description

Accenture PLC in Australia (New South Wales) seeks a data-focused engineer to design, build and optimise data pipelines and scalable data solutions. You will collaborate with Senior Data Engineers and Architects to deliver reliable data for business decisions, using CI/CD practices in a DevOps environment.

You will wrangle and ingest data from multiple sources, ensure data quality, and contribute to modelling and analytics across teams.