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Commonwealth Bank

Senior Data Engineer - Big Data & AWS Cloud

Posted 6 Days Ago
Be an Early Applicant
2 Locations
Senior level
2 Locations
Senior level
The Senior Data Engineer will design and build data pipeline solutions using Big Data and AWS Cloud technologies. Responsibilities include developing high-quality data solutions, mentoring engineers, and collaborating across teams to enhance analytics capabilities.
The summary above was generated by AI

Senior Data Engineer – Big Data & AWS Cloud

  • You are determined to stay ahead of the latest Cloud, Big Data and Data warehouse technologies.

  • We're one of the largest and most advanced Data Engineering teams in the country.

  • Together we can build state-of-the-art data solutions that power seamless experiences for millions of customers.

Do work that matters:

As a Senior Data engineer with expertise in software development / programming and a passion for building data-driven solutions, you’re ahead of trends and work at the forefront of Big Data and Data warehouse 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.

See yourself in the team:

To us, data is everything. It is what powers our cutting-edge features and it’s the reason we can provide seamless experiences for millions of customers from app to branch. We’re responsible for CommBank’s key analytics capabilities and work to create world-leading capabilities for analytics, information management, decisioning and Generative AI. We work across different platforms like AWS Cloud, Cloudera Hadoop Big Data, Teradata Group Data Warehouse, Ab Initio, Gen AI, etc.

We are interested in hearing from people who:

  • Are passionate about building next generation data platforms and data pipeline solution across the bank.

  • Are Enthusiastic, be able to contribute and learn from wider engineering talent in the team.

  • Are ready to execute state-of-the-art coding practices, driving high quality outcomes to solve core business objectives and minimise risks.

  • Are capable to create both technology blueprints and engineering roadmaps, for a multi- year data transformational journey.

  • Can lead and drive a culture where quality, excellence and openness are championed.

  • Constantly thinking outside the box and breaking boundaries to solve complex data problems.

  • Are confident in building group data products or data assets from scratch, by integrating large sets of data derived from hundreds of internal and external sources.

  • Can collaborate, co-create and contribute to existing Data Engineering practices in the team.

  • Can lead and mentor other engineers in Agile teams delivering project work or initiative.

  • Have a natural drive to educate, communicate and coordinate with different internal stakeholders and consultants.

Technical 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.

  • Experience in designing, building, and delivering enterprise-wide data ingestion, data integration and data pipeline solutions using common programming language (Scala, Java, or Python) in a Big Data and Data Warehouse platform. 

  • Experience in building data solution in Hadoop platform, using Spark, MapReduce, Sqoop, Kafka and various ETL frameworks for distributed data storage and processing. 

  • Experience in building data solution using AWS Cloud technology (EMR, Glue, Iceberg, Kinesis, MSK/Kafka, Redshift/PostgresSQL, DocumentDB/MongoDB, S3, etc.). 

  • Possess ability to produce conceptual, logical and physical data models using data modelling techniques such as Data Vault, Kimball, 3NF, etc. and demonstrate expertise in design patterns (FSLDM, IBM IFW DW).

  • Strong Unix/Linux Shell scripting and programming skills in Scala, Java, or Python.

  • Proficient in common programming language (Scala, Java or Python) and SQL scripting, writing complex SQLs for building data pipelines.

  • Familiarity with data warehousing and/or data mart build experience in Teradata, Oracle or RDBMS system is a plus.

  • Certification on Cloudera CDP, Hadoop, Spark, Teradata, AWS Data Practitioner/Architect, Ab Initio is a plus.

  • Experience in Ab Initio software products (GDE, Co>Operating System, Express>It, etc.) is a plus.

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.

Here, you’ll thrive. You’ll be supported when faced with challenges and empowered to tackle new opportunities. We’re hiring engineers from across all of Australia and have opened technology hubs in Melbourne and Perth. We really love working here, and we think you will too.

We support our people with the flexibility to balance where work is done with at least half their time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work in the role you’re interested in.

If this sounds like the role for you then we would love to hear from you. Apply today!

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 17/05/2025

Top Skills

Ab Initio
Aws Cloud
Cloudera Cdp
Hadoop
Java
Kafka
Mapreduce
Oracle
Python
Rdbms
Scala
Spark
SQL
Sqoop
Teradata

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