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Manager, Data Engineering

Manager, Data Engineering

Req ID:  72720
Department:  Insto Transaction Banking Product Central
Division:  Institutional
Location:  Bengaluru

About Us

 

At ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

About the Role

 

As a Manager, Data Engineering within the Data & Analytics team, you will be responsible for analyzing understanding data sources, participating in the design, engineering data solutions and providing insights and guidance on best practices.

You will work with a range of business stakeholders and internal teams to design and deliver comprehensive data solutions. You will have a strong data engineering background and bring in Data as a product mindset.

Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future, while helping to build ours.

Role Location: Bangalore
Role Type: Permanent, Fulltime

 

What will your day look like?

 

  • Hands-on data engineering, design data ingestions, configuration, and installation.
  • Identify and develop the architecture, infrastructure, and interfaces to data sources, engineer data load management and security features.
  • Develop data/automation models on an iterative basis supporting various facets of the business function and data lifecycle.
  • Working in a cross skilled squad with people both from business and technology to build intuitive data products.
  • Work with other members of the TB Data & Analytics team, Frontline, Products, Operations, Channels and Technology partners to deliver the data solution.
     

What will you bring?

 

  • 7+ years of hands-on data engineering experience with tools and techniques for analysis, data manipulation and presentation (e.g., SQL, Stored Procedures, Python, Cloud computing).
  • Experience with data warehouse, data lake, and enterprise big data platforms
  • Knowledge of metadata management, data modelling, and related tools.
  • Knowledge on data analytics automation.
  • Detail-oriented mindset with a commitment to data accuracy, integrity, and confidentiality.
  • Experience with migration to Cloud Technologies will be an added advantage (e.g., GCP, AWS).


You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you.

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