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Lead Data Engineer

Contract Type

Permanent

Location

New South Wales, Sydney

Industry

IT

Specialisation

Business Intelligence & Data

Salary

AU$1100 - AU$1200 per day

Contact Name

Chris Louch

Contact Email

chris@talenza.com.au

Date published

23-03-2026

Job Reference

BBBH20717

Description

📍 Sydney | 💰 $1,200 per day + Super | 📅 Contract until 30 June 2027

About the Role
We're working with a leading financial services organisation to hire a highly skilled Lead Data Engineer (Databricks) to play a critical role in building and scaling a modern data and analytics platform.

This position sits at the heart of a high-impact data transformation program, where you'll design and deliver robust data pipelines, enable advanced analytics, and support machine learning initiatives across the business.

Key Responsibilities

  • Lead the design and development of scalable data pipelines and architecture

  • Establish data engineering standards, governance, and best practices

  • Validate, cleanse, and transform data across multiple operational systems

  • Collaborate with stakeholders to define and deliver data requirements

  • Build and optimise ETL/ELT pipelines for batch and real-time processing

  • Design and engineer data features to support machine learning models

  • Assemble and manage large, complex data sets for business use

  • Develop data tools leveraging analytics and machine learning techniques

  • Ensure data is captured, stored, and processed efficiently across the platform

  • Mentor and upskill team members in data engineering best practices

Key Skills & Experience

  • Strong experience as a Lead Data Engineer or Data Engineering Lead

  • Proven expertise in Databricks, Python, and Data Warehousing (essential)

  • Deep understanding of data architecture and platform design

  • Hands-on experience with ETL frameworks, batch processing, and real-time data streaming

  • Strong knowledge of data modelling techniques (3NF, Star Schema, Big Tables, Columnar, JSON, Key-Value)

  • Experience across data management, quality, and analytics platforms

  • Ability to work across teams and influence stakeholders in complex environments

  • Background in financial services (highly regarded)

Qualifications

  • Tertiary degree or equivalent experience (required)

  • Postgraduate qualifications (desirable)

Why Apply?

  • Join a market-leading financial services organisation

  • Long-term contract providing stability through to mid-2027

  • Work on a cutting-edge data platform leveraging Databricks

  • High-impact role with enterprise-wide visibility

  • Competitive rate of $1,200 + Super per day

Apply Now

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