Engineering Manager - Data Engineering/ Analytics group

Engineering Manager - Data Engineering/ Analytics group

• You are passionate, driven, flexible and collaborative
• We are a team of big thinkers who are engineering the future of banking
• Together we will build tomorrow’s bank today, using world-leading technology and innovation

Do work that matters

We're building tomorrow’s bank today, which means we need creative and diverse engineers to help us redefine what customers expect from a bank. Envisioning new technologies that are still waiting to be invented and reimagining products that support our customers and help build Australia’s future economy.

Our Software team are the brains behind Australia’s number one banking app, Netbank, Cardless Cash, Comm Sec Pocket and Spend Tracker. We go beyond a passion for web and mobile development, creating reliable APIs at a unique scale in Australia. And you could be a part of that journey.

See yourself in our team

Business Banking Technology is responsible for the world-leading application of technology and operations across every aspect of CommBank - from innovative product platforms for our customers, to essential tools within our business. We also use technology to drive simplicity and better banking, an essential component of great customer service underpinning a strong emphasis on software development as a craft and the adoption of industry best engineering practices.

You’ll be part of a wider BB Tech team integrated into the Digital & Automated Credit Crew in Business Lending Domain. The crew is reimagining the way we offer credit to our business customers by focusing on certainty and speed. We do this through building next gen digital and automated credit solutions using BIAN and BaaS microservices architecture.

As an Engineering Manager – Data Chapter Lead, you’ll provide expert advice relating to technology, solution design and architecture, people leadership and hiring to drive excellence in technical delivery as per group engineering practices and standards. You will bring a perfect blend of people management, technical expertise and will be responsible for shaping the evolution of technical squad through contribution to the BB technology strategy, quarterly crew memo, prioritise backlog, define delivery roadmap, and determine which problems to invest in solving.

We are seeking people who have:

• Have the ability to build, lead, and inspire an engaged team of engineers while also fostering an engineering culture of excellence.
• Are data enthusiastic in providing the solutions that source data from various enterprise data platform into data lake, using technologies like Scala, Python, R, PySpark; transform and process the source data to produce data products, transform and egression to other data platforms like SQL Server, Oracle, Teradata and other cloud platforms. 
• Are reliable in building data products or data assets from scratch, by integrating large sets of data derived from hundreds of internal and external sources.
• Demonstrated experience in creating libraries using functional languages (python, scala, R) and use them for the config – driven pipeline generation and delivering optimised enterprise-wide data ingestion, data integration and data pipeline solutions for Data Lake & warehouse platforms.
• Have experience and responsible for data security and data management.
• Can collaborate, co-create and contribute to existing Data Engineering practices in the team.
• Encourages risk-taking and constructive challenge while growing diverse and inclusive teams.

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 Hadoop and AWS.
• Experience in building data solution in Hadoop platform, using Spark, MapReduce, Kafka and various ETL frameworks for distributed data storage and processing.
• Strong functional programming and scripting skills in Scala, Java, or Python.
• Proficient in SQL scripting, writing complex SQLs for building data pipelines.
• Experience in working in Agile teams, including working closely with internal business stakeholders.
• Experience in leading and mentoring data engineers, including ownership of internal business stakeholder relationships and working with consultants.
• Familiarity with data warehousing and data mart build experience in Teradata, Oracle or RDBMS system is a plus.
• Certification on AWS is a plus.

Working with us:

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

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.

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with flexible work locations. We’re looking for people who truly live our values: Care, Courage and Commitment and we’ll offer you great opportunities to develop your career with us.

Advertising End Date: 30/10/2024