About us At ubank, we want to empower the digital generation to be more successful with money.
Think of us more as a daily money companion.
One that brings together the ability for customers to see their money in one place, with smart features and real-time insights designed to help them get ahead.
With ubank, our customers can discover what it feels like to save more, see exactly where they're spending and own their own home faster.
In short, we want to help them achieve real momentum with money.
Your why You are a driven data professional with a passion for enabling data-driven decision making at scale.
You have a generalist skill-set and are looking to be a leader in pipeline development, data modelling and deployment automation.
You are excited by the opportunity to work with cutting-edge technology and want to play a key role in the transformation of analytics and insights delivery for a rapidly-growing, digitally-native business.
This role reports to our Head of Data & Analytics.
How you will spend your time As a Senior Data Engineer you will be expected to: Be a trusted partner and leader in the project as part of a cross-functional project team to deliver an end to end data driven capability in our growth and marketing space, which will drive our business growth as a challenger bank.
Play a crucial role in connecting our various data systems, ensuring efficient data flow across the organization.
Your work will directly impact our ability to make data-driven decisions.
Work with business stakeholders to understand their data requirements and proactively ensure you understand the "why" as well as the "what".
Be able to estimate and plan work to be delivered.
Have a strong focus on documenting design and implementing quality controls to mature implementation of our architectural principles and be able to coach other team members on this.
Define, map and model the data and data-flows from multiple types of system in line with our target data vault architecture.
Be able to build quality checks and tests for all newly developed code and data assets, checking for completeness and integrity against established processes.
Understand, evaluate and adopt new data source systems, data engineering practices and techniques Liaise with other technology teams, internal infrastructure providers and external partners .
Work closely with our Analysts to support the development of analytic models and data assets to support the development of business-facing self-service reporting tools.
What makes you tick You enjoy working as part of a collaborative, outcome focused team.
You have strong attention to detail but can still see the big picture.
You can prioritize, adapt to change quickly and work well with ambiguity.
You put your hand up for help when stuck.
You are curious about the business you work in and enjoy learning how it works and the part you play.
You enjoy mentoring and coaching others.
What you will bring A deep understanding of data modelling/warehousing techniques and experience building on and with data lakes, relational databases, file storage, APIs, modern lakehouses and cloud based environments.
You will also have appropriate industry experience/qualifications in data engineering/modelling and data analytics.
A highly disciplined approach to delivering quality and timely business outcomes.
Essential experience At least 5 years of practical and demonstrable experience in the exploration, development and deployment of complex data sets and pipelines, preferably including financial services data Strong communication skills Hands on knowledge of data preparation, transformation and modelling techniques Experience with role-based access controls (RBAC) and orchestration automation Knowledge of CI/CD and Infrastructure as Code methodologies Strong Experience working with technical and business stakeholders to develop data outcomes.
Deep Experience using data tools and languages such as SQL, Python, Java, Spark and PySpark and DBT Desirable experience Previous work experience with the Databricks platform (highly desirable) Experience to the Growth and Marketing space and Marketing Technologies (Martech) Exposure to Data Vault modelling methodology and implementation of this in a business setting Experience with AWS, Airflow, Fivetran, cloud PostgreSQL databases, or equivalent Why ubank?
Hybrid working model - with 3 days in our central Sydney CBD office located above Wynyard station.
Highly collaborative and positive culture Strong internal development & growth opportunities + other fantastic benefits to support!
Our Values Delight the Customer - We put the customer's best interests at the forefront of everything we do.
We believe financial success will follow customer success.
Agile and Brave - Constantly collaborating in new ways to create something genuinely innovative.
Value Each Other - We respect everyone's contribution, embracing a common goal and championing individuality.
Frank and Authentic - A high performing team who say what we mean and mean what we say to create a strong team culture.
Show Up - We bring our passion, positivity, and sense of fun every day to embrace the challenges of changing the banking game.
Our recruitment team is standing by, ready and eager to connect with you and answer any questions you might have.
So why wait?
Apply now with a CV and let's see where this exciting opportunity takes you!
We are proud to be an equal opportunity.
We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
When you apply, please tell us the pronouns you use.
We acknowledge the Gadigal of the Eora nation as the Traditional Custodians of our local area