Senior Associate | Data Engineering | Data & Ai Full-time

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Advisory – Other

Management Level
Administrative

Job Description & Summary
Consulting brings this to life by helping clients improve the way they operate, reduce costs, manage risks, leverage talent, or fundamentally change the way they do business. Your work here will help organisations of all shapes and sizes work smarter and grow faster.

We are seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, implementing, and maintaining robust data solutions.

As a Senior Data Engineer in our Digital and Cloud Engineering team your impact will be seen by:

• Delivering production grade data and analytics pipelines to enable advanced analytics capabilities for our customers.
• Demonstrating thorough abilities and/or a proven record of success with a subset of the following technologies:
  • Programming including but not limited to Python, SQL, Scala
  • Proficiency in data architecture and modelling.
  • Experience with Azure Data Factory, Azure Storage Accounts, Azure Key Vault, Azure functions and Azure Synapse Analytics.
  • Knowledge of Snowflake’s multi-cluster architecture, including virtual warehouses, storage, and compute separation.
  • Experience with Snowflake’s data loading and unloading processes, including the use of Snowpipe for continuous data ingestion.
  • Understanding of Snowflake’s data sharing capabilities to securely share data across different accounts.
  • Experience in writing and managing stored procedures and user-defined functions (UDFs) in Snowflake.
  • Strong understanding of ETL/ELT processes.
  • Data storage technologies including RDBMS, NoSQL, Hadoop, and cloud-based storages such as Azure Data Lake, Snowflake etc.
  • Different storage formats e.g. Parquet, Delta, Iceberg etc.
• Working closely with business analysts, data scientists, enterprise architects and other stakeholders to understand data requirements and deliver solutions.
• Maintaining comprehensive documentation of data processes and systems.
• Helping clients to establish the right controls, processes and structures to ensure that deliverables are timely, consistent and of defensible quality

About you

You have a background in data engineering and are skilled in pipelining data between data generation and consumption technologies and hold an understanding of machine learning technologies, data governance and quality management, analytical methodologies and software development lifecycle

Passionate about being at the forefront of change, you’re ready to help our Consulting team deliver practical advice that speaks straight to the heart of client business issues and deliver innovative results.

You’re collaborative and enjoy working in an innovative environment. You’re a problem solver by nature and want to join a firm that values the kind of people who reimagine the possible for their clients and stakeholders. Most importantly, you act with integrity and show care for the people you work with.

We’ll give you a career-boosting role that:

• Helps you learn and grow with our cyber academy, and study support.
• Has competitive and transparent salary packages with the opportunity for yearly bonuses and promotions
• Is strong on growth and reward
• Provides strong mentors, meaningful work and plenty of networking opportunities
• Gives you the chance to explore, with overseas secondments and our Together Anywhere policy that lets you work up to 4 weeks from anywhere in Australia
• Helps you prioritise your life outside of work, with lifestyle and wellness stipends up to $500 a year

We’re an inclusive bunch, and we try to make life easier – for our clients, our teams and our communities. If you need reasonable adjustments when applying, just let us know.

Jaimie Bonehill is the Recruitment Manager for the role. As the team experiences high volumes of applications, we appreciate your patience to allow for a timely and fair process for all.

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills
Accepting Feedback, Active Listening, Application Troubleshooting, Cloud Application Design, Cloud Application Development, Cloud Application Performance Management (APM), Cloud Applications, Services and Deployment Models, Cloud Automation, Cloud Consulting, Cloud Service Level Troubleshooting, Cloud Storage, Communication, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Mass Customization, Optimism, Teamwork, Well Being

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Up to 20%

Available for Work Visa Sponsorship?
Yes

Government Clearance Required?
No

Job Posting End Date