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Data Engineer Lead
Data Engineer Lead
HCLTech partners with ANZ Bank which is one of the BIG4 Australia-based banks to build engineering teams for cutting-edge digital transformation projects.
Are you ready to take the role in shaping the future of banking? We are pioneers in revolutionizing the banking experience. As we embark on an ambitious digital transformation journey of our client ANZ Bank – an Australia's top global banks, we are looking for visionary experts/engineers to join a dynamic squad of skilled engineers, shaping the future of banking through cutting-edge technologies.
- Work in hybrid mode
- Be part of a transformational journey that is redefining the banking landscape and driving innovation that impacts millions of users’ financial well-being
- Work in a vibrant, inclusive and diverse environment that values your unique perspectives
- Collaborate with top-tier professionals, learn and grow alongside the best in the industry
- Competitive compensation package including benefits that support your well-being and professional development
Detail Benefits:
- Attractive package including base salary + 13th month salary + Performance Bonus.
- Insurance based on full base salary and Medical Benefit (Bao Viet Insurance Package) for Employee and Family
- 100% of full salary and benefits as an official employee from the 1st day of working
- 100% salary during probation time
- Working in a fast paced, flexible, and multinational working environment with opportunity to travel onsite (in 49 countries)
- Internal Training (Technical & Functional & English)
- Working with outstanding colleagues coming from top universities and top companies in Vietnam and foreign countries
Roles and Responsibilities:
Our purpose is to shape a world where people and communities thrive. We are making this happen by improving our customers’ financial wellbeing so they can achieve incredible things – be it buying a home, building a business or saving for things big or small. We are looking for people who are passionate about transformational change and help us redefine banking for the future.
Be a part of building the ideal data ecosystem from scratch. Ensuring the right data is generated from all applications and sourced at the right velocity with the complete depth and breadth to ensure complete coverage and reuse. This is your opportunity to build new, not fix old.
- What will your day look like?
- This is a people leadership role (up to 5 members in a team squad) with broad responsibilities across many aspects of our data enablement value stream.
- Define, create and publish the data architecture standards for all applications and infrastructure across the portfolio
- Create operational data solutions that will power our new mobile apps (iOS and Android)
- Analyze systems that will be used to build brand new Machine Learning models
- Operate Marketing Tech systems to provide personalized real-time in-context service and marketing messages to customers that are relevant, useful and sensitive
- Enable and lead a team of Data Engineers to be the most creative and the best they can be
- Influence our Cloud provider’s product roadmaps to ensure they meet our needs
Experience/Exposure
We are trying to reimagine the way we help and interact with our customers, so we are looking for candidates with creativity, an open mind and a positive energy. Our detailed requirements are as below:
- At least 8 years of experience in total at Data Engineering or at a similar role
- Strong Cloud-based Data Engineering experience in one of the following Clouds (AWS/Azure/GCP); we mainly use GCP but we are open to your Cloud experience (with at least 2 years of working on Cloud)
- + As Lead GCP Cloud Data Engineer: You must be strong at General Infrastructure and Services and particular data services such as Big Query, Dataflow, Airflow, Cloud Function, etc.
- + As Lead AWS Cloud Data Engineer: You must be strong at AWS technologies as the followings: data pipeline (Lake Formation, MWAA, EMR, S3, Glue and Athena); Data Warehousing technologies (AWS Redshift)
- + As Lead Azure Cloud Data Engineer: You must be strong at Azure Data Lake Storage, Azure Databricks and Azure Data Factory, Synapse, etc.
- Proven successful design and implementation of large and complex data solutions (Data Warehouse, Data Lake) using various architectural patterns such as Microservices
- Experience with Advanced SQL and Python skills
- Experience with DataOps
- Experience in using DevOps while working on Cloud data platforms like using Terraform for Infrastructure as Code (IaC), GitOps or using Docker, Kubernetes
- Good education background of Information Technology (IT) and Information and Communication Technology (ICT)
- Ability to influence both technical and business peers and stakeholders
- Leadership experience in engineering teams, not just their technical skills but also their careers and ambitions since you are passionate and empathetic. For example – jump on the tools when required to support the team
- Good command of English verbal communication
- If you have work experience with Marketing domains, you will be preferred
Preferred Qualifications:
- University or College
Required Skills:
- Cloud (Any)
- Data Engineer skill (ETL, Datalake, Data Warehouse, Python programming)
- DataOps & DevOps (Terraform, IaC, Docker/K8s)
- SQL
Apply Now
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