My client is a leading global multinational investment bank and financial services company. It is headquartered and listed in Australian stock exchange and employs nearly 15000 staff in over 20 countries is the world's largest asset manager in infrastructure and Australia's top ranked mergers and acquisitions adviser with almost half a trillion dollars in assets under management.
About the role
Because of their immense growth in their Data Engineering portfolio, an exciting opportunity has come up in one of their offices in Sydney. You will be joining their elite engineering team and playing a key role in creating their next year data capabilities at an enterprise level. You will be responsible for end-to-end accountability for design, developing, deploying and supporting your data assets as well as creating templates and implementation methods and standards.
PLEASE NOTE THAT WHILST IT IS A SYDNEY ROLE, CANDIDATES FROM OTHER CITIES ARE ENCOURAGED TO APPLY AND FULL SUPPORT WILL BE PROVIDED TO ACCOMMODATE WORK FROM HOME OPTIONS
Skill Sets
You need to have the following skill sets to excel in this role:
- Experience in solution architecture and high-level design with an ability to lead technical design discussions, estimation, and planning
- Experience in implementing and leveraging data platforms including data integration tools (ETL, ELT and real-time), data warehouses, data governance, analytics, and data science tools
- Big Data experience using open-source distributed data processing frameworks such as Hadoop, Spark and big data storage formats (such as Parquet, ORC, Avro)
- Data Architecture and experience (including different data modelling techniques such as 3NF models, star schemas or Data Vault), Data Governance and broader Information Management domain
- Exposure and deep understanding of implementation aspects for several database solutions – including classic SQL databases, analytical appliances (such as Teradata, Vertica or Netezza) and modern Cloud-based PaaS solutions (eg. Google BigQuery, Spanner)
- Strong DevOps experience with hyperscale Cloud services (Google / AWS)
- Preferred experience in banking, finance transformation, and regulatory space.
- Building and maturing data engineering team and optimising delivery through training, outsourcing, recruitment, automation etc.
It is an urgent position and my client is interviewing candidates at the moment. It is an exceptional opportunity for someone who has significant Data Engineering experience and have experience in cloud and Big Data technologies and a desire to work in a DevOps environment with. Only Australian Permanent Residents and Citizens required for this role.
For more information on the role, please either apply or contact Nathan Sabherwal on 0430 880 196. Randstad is a specialist recruitment agency specializing in IT, Accounting and Corporate Services, Engineering and Sales & Marketing. We can always help you in finding the right permanent or contract role.
At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
Skills
Data Integration Engineer, real time streaming, cloud experience
Education
Primary School/Junior High