Data Engineer

Contract - 6 Month

Immediate start

The prospect

We are working with an exciting FinTech who are looking to strengthen their cloud data capability. You will work across ingestion, transformation and reporting data, helping the business trust its numbers and get to them faster.

What you will be doing
Building and looking after the pipelines that bring data from source systems into the cloud warehouse.
Watching how those pipelines perform and where data goes wrong, then fixing the underlying cause.
Shaping data structures that reporting and analytics teams can use with confidence.
Helping shift older on-premise data and logic onto the cloud platform.
Working with business and technology teams to understand what they need from data and how it should be designed.
Supporting less experienced engineers through code reviews and pairing.

What you will bring
Proven commercial experience as a data engineer.
Solid SQL,



including complex queries and stored procedures.
Hands-on ETL / ELT development and data modelling.
Cloud data experience, with genuine exposure to AWS.
Involvement in moving data from legacy platforms to the cloud.
Experience supporting BI reporting, ideally Power BI.
Comfort with automated data testing and agile ways of working.
A background in financial services such as banking, insurance, wealth or lending.
The ability to explain data issues clearly to both technical and business audiences.

Desirable
Python or PySpark.
Workflow orchestration tools such as Airflow.
AWS data services such as Glue, Redshift, S3 or Athena.
Data quality or data testing frameworks.
Data governance, cataloguing or handling sensitive customer data.

📌 Data Engineer Sydney
🏢 Morgan Mckinley
📍 Sydney