Data Engineer

3 weeks ago

Sydney, New South Wales, Australia Talent Insights Group Full time
Overview

Principal Data Consultant at Talent Insights - dbt | Databricks | Looker | Snowflake

Location

Sydney / Hybrid

This fintech is expanding its data and analytics capabilities and is looking for a Data Engineer to help design, build, and maintain its modern cloud-native data platform. The role is hands-on and well-suited to someone with strong technical skills in data engineering who is eager to grow their expertise in scalable data systems, modern pipelines, and advanced analytics environments.

Base pay

A$140,000.00/yr - A$150,000.00/yr

Responsibilities
  • Design, develop, and maintain reliable and scalable data pipelines using a modern data stack.
  • Work with stakeholders across engineering, analytics, and product teams to translate business requirements into data solutions.
  • Support the development and optimisation of the cloud data warehouse (e.g. Snowflake, Databricks, AWS RDS).
  • Collaborate with analytics engineers and data scientists to deliver clean, well-modelled datasets for reporting and advanced analytics.
  • Ensure data quality, integrity, and accuracy through monitoring, testing, and validation processes.
  • Contribute to the development of semantic models, dashboards, and BI solutions to improve access to insights.
  • Follow best practices in code quality, documentation, testing, and CI/CD to ensure maintainable and secure solutions.
  • Assist with troubleshooting, incident resolution, and ongoing optimisation of data systems.
Qualifications
  • 3+ years of experience in data engineering or a related role.
  • Strong SQL skills and experience working with cloud data warehouses (Snowflake, Databricks, or AWS RDS).
  • Hands-on programming experience in Python for data transformation and automation.
  • Familiarity with modern data stack tools such as dbt and Airflow
  • Understanding of data modelling concepts and ETL/ELT best practices.
  • Exposure to tools such as Kafka, Segment, or Terraform is desirable.
  • Good communication skills with the ability to collaborate across technical and non-technical teams.
  • Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment.
Keywords

AWS / dbt / Airflow / Snowflake / Databricks / ETL / Python / SQL / Data Engineering / Fintech

Details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Information Technology, Engineering, and Analyst
  • Industries: Technology, Information and Media, Information Services, and Financial Services
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