Senior Engineer Data Design

• You are an experienced designer with strong experience in Data modelling, Big Data platforms.
• We are one of the critically performing Data Engineering teams in CBA
• Together we can lead strategic data warehouse applications and largely complex operational data store!

Do work that matters

As an experienced solution designer with strong data modelling skills and a passion for providing data-driven solutions, you’re ahead of trends and work at the forefront of Big Data technologies.

Which is why we’re the perfect fit for you. Here, you’ll be part of a team of engineers going above and beyond to improve the standard of digital banking. Using the latest tech to solve our customers’ most complex data-centric problems.

Across our end-to-end cycle, you will be responsible for providing direction to data teams drawing from your ability to integrate diverse sets of data from multiple sources you will design, develop and build industry-leading group data products.

Your experience means you’re able to execute state-of-the-art coding practices, driving high quality outcomes to solve core business objectives and minimise risks. Communicating to technical and non-technical stakeholders across the business comes naturally to you.

See yourself in our team

Reporting into the Chapter Leads in one of our Chief Data and Analytics Office teams, you will be part of a highly skilled, collaborative and culturally diversified Data Engineering team. This role would be ideal for an experienced Solution Designer with commendable recent experience working in big data projects, along with a strong background in managing multiple stakeholder groups.

Specialised experience in implementing solutions on Cloudera Hadoop and Teradata platforms will be highly essential for this role. You will come with a strong blend of skills in data design, data modelling, along with a commendable exposure in implementing end-to-end Big Data solutions.

We are interested in people who

• Minimum 10 years’ experience in design, architecture or development in Analytics and Data Warehousing
• Have experience in solution design, solution governance and implementing end-to-end Big Data solutions using Hadoop eco-systems (Hive, HDFS, Pig, HBase, Flume, Kafka, Sqoop, YARN, Impala)
• Possess ability to produce semantic, conceptual, logical and physical data models using data modelling techniques such as Data Vault, Dimensional Modelling, 3NF, etc.
• Has the ability to design data warehousing and enterprise analytics-based solutions using Teradata or relevant data platforms
• Can demonstrate expertise in design patterns (FSLDM, IBM IFW DW) and data modelling frameworks including dimensional, star and non-dimensional schemas
• Possess commendable experience in consistently driving cost effective and technologically feasible solutions, while steering solution decisions across the group, to meet both operational and strategic goals is essential.
• Are adept with abilities to positively influence the adoption of new products, solutions and processes, to align with the existing Information Architectural design would be desirable
• Have Analytics & Data/BI Architecture appreciation and broad experience across all technology disciplines, including project management, IT strategy development and business process, information, application and business process.
• Have extensive experience with Teradata data warehouses and Big Data platforms on both On-Prim and Cloud platform.
• Extensive experience in large enterprise environments handling large volume of datasets with High Service Level Agreement(s) across various business functions/ units.
• Have experience leading discussions and presentations. Experience in driving decisions across groups of stakeholders.

Tech skills  

• We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team. 
• Proficient across Enterprise Analytics/BI/DW/ETL technologies such as Teradata Control Framework (TCF), Tableau, OBIEE, SAS, Apache Spark, Hive and various other ETL frameworks.
• Experience in Design and Development of Data Pipelines on Cloud Data Platforms such as AWS Glue, AWS RedShift, AWS EMR, and Other Databases such as Snowflake will be highly preferred.
• Have experience across Enterprise BI/Big Data/DW/ETL technologies such as Teradata, Hadoop, Tableau, SAS, Hyperion or Business Objects.

Working with us

Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you.  

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with flexible work locations. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day. 

Advertising End Date: 07/11/2024