Job Requisition ID: 36518
Software and Data Engineering Manager
1. World class training and development.
2. Truly flexible work.
3. Hands-on mentoring on emerging technologies.
What will your typical day look like?
Deloitte Data and AI is changing the way that businesses leverage cloud-native technology to solve the toughest Data, Machine Learning and AI challenges faced by our customers! Join us as we continue to expand into a cloud-centric and AI driven future, working on some of the largest and most complex projects within AU.
About the team
Our Data & AI team comprises of over 500 specialist practitioners across Australia, each of whom are constantly curious and excited about combining their business acumen and technological expertise to create data-centric solutions that help solve complex problems and transform or reinvent our client’s business.
Our Data & AI team work with public and private sector clients helping them to design and implement world leading solutions and capabilities. From solving air and ground transport network issues through our industry-first Optimal Reality digital twin solution, bringing automation capabilities to vaccine rollout programs, to helping our clients move to a sustainable world, we are the partner of choice for our clients and our alliance vendors.
Our technology relationships with market leading vendors such as Amazon, Microsoft, Google, Apple, Snowflake, Salesforce, and Informatica enable our practitioners to be at the forefront of new and emerging capabilities and to deliver our suite of services at scale. We are consistently recognised as leaders in Cloud, Data, Analytics and AI, including in the latest analyst reports.
Enough about us, let’s talk about you.
We are looking for Manager with following capabilities:
4. 4-7 years experience in Data and/or Software Engineering, with hands-on experience in either Python, Java or other backend technologies
5. Advanced SQL and database skills
6. Strong software development fundamentals including version control, unit testing as well as continuous integration and deployment practices.
7. Strong grasp of Data fundamentals, preferably with experience with databases, data warehouses, data lakes or other storage solutions.
8. Experience with Modern Data Platform technologies will be highly regarded
9. Hands-on development experience in at least one of the major hyper scaler platforms - AWS, Google Cloud, Microsoft Azure, Databricks and Snowflake.
10. Experience designing and developing cloud-native, event-driven micro-services is preferred
11. Previous consulting or client-facing experience is highly regarded
12. Exceptional interpersonal and communication skills.
13. Comfort working in a flexible and dynamic environment.
14. Technical certifications will be highly regarded.