Position is available for full-time for the right candidate and can move from
part-time arrangement 2 days/week) to full-time arrangement
About Citro
Citro is a brand new, high-growth fin-tech, back by one of Australiaʼs largest
and oldest financial institutions, AMP. Our mission is to empower Australians to
celebrate ageing with joy and purpose. We do this via our content and rewards
platform that inspires, educates and enables our customers to engage with our
exclusive deals and offers from our curated product partners that will see them
get the most out of their retirement. As our team member, you’ll play a crucial role in building our data infrastructure and analytics capabilities, transforming raw data into actionable insights that
shape our product strategy and drive business growth.
Our values:
Foster innovation that inspires – We stretch our imagination to find solutions
Have integrity and heart – We do whatʼs right, with empathy and kindness
Listen actively to impact positively – We listen to our customers, and each
other.
Persist to pursue excellence. – We do whatever is needed to master our craft
and grow
Team alchemy. – We transform the collective effort of the team into incredible
outcomes
The opportunity
Reporting directly to R&D Engineer, you will be a key contributor to support our
insights and analytics platform, defining and documenting important metrics,
from customerʼs behaviours to financial data that would influence business and
ML Model decisions. Working closely with Ops, Legals and Growth, your role
will involve aligning multiple moving data warehouses, analytics and shared
data to align and drive the company’s strategic objectives and deliver curated
customerʼs experience.
We use common data platform design that is valued across all tech industry
that follow best-practices and prioritise development of models, insights that
follow text-book data life-cycle development. We are processing 10TB daily and
moving to hundreds. If dealing problem effective at scale is what you interest
in.
Key responsibilities
- Financial transaction data and system analysis: Work on understanding how financial transactions are processed and shared between different partners to understand what insights drive growth, what events matters to operations and what anomalies worry Legal.
- Report for internal and external stakeholders: Good communications skill and translating from stakeholderʼs need to technical requirements and xecute on delivering dashboards and reports that are relevant, easy to use, that contributes to the overall business knowledge and understanding.
- Develop and maintain data dictionary and metrics: With the Data Scientists and Engineers, develop template, DevOps practices and reusability. Thinking around how to write scripts that are reusable, functional and modular across different section of the business. Pulling data and transform high quality data sources ABS, Census data) and integrate to existing databases.
What’s in it for you:
- Gain hands-on experience with cutting-edge data technologies and
- platforms (cloud data lakehouse, Apache Iceberg, Delta Tables, Databricks,
- etc.) that are becoming industry standards.
- Work in an agile environment with opportunities to own analytical initiatives,
- from building dashboards and reports to developing data models and
- implementing data quality frameworks.
- Access to comprehensive financial and customer data in a centralized
- platform, enabling you to conduct in-depth analysis and generate insights
- without data silos or access barriers.
-
Optionally preferred skills and/or experience:
- Demonstrated experience in software development, and design.
- Proficiency in any technologies for the following tech stack:
- Analytics: Python, SQL, R
- Data Science notebooks: Google Collab, Anaconda, Jupyter, Kaggle,
- etc…. (no)
- Data platform/pipelines: Airflow, DBT, Databricks, Snowflake
- Cloud familiarity: GCP, AWS, Azure
- DBMS Relational database system, Delta lake, Spark SQL, Mongo DB,
- No SQL, etc…
- Reporting: PowerBI, AI/BI ML
- LLM Hugging face, langchain, mlflow, MCP architecture, Copilot Studio,
- AWS Bedrock
- Strong communication and collaboration skills to work effectively with
- product and design to implement the product roadmap.
- Degrees that are helpful but not required: Computer Sciences, IT,
- Economics, Mathematics, Physics.Data engineer (Part-time/Full-time)4
