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Senior Data Engineer

Summary

Build and optimize scalable data pipelines using Python, PySpark, and Databricks for batch and streaming workloads, managing Delta Lake layers and AWS S3 storage.

This range is provided by Humanised Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

A$100.00/hr - A$125.00/hr

Direct message the job poster from Humanised Group

Recruitment Consultant | Data Analytics & AI | Data Mornings - Helping Data Professionals Network & Grow

3 Month Contract | Hybrid Environment | Must be Sydney Based

If you are someone who enjoys designing scalable data pipelines and building modern, high performance data platforms, this is a great opportunity!

We are partnering with a global tech consultancy to find a Data Engineer for an initial 3 month contract.

Responsibilities:

  • Build/ improve data pipelines using Python and PySpark for both batch and streaming workloads
  • Design and manage Delta Lake layers (Bronze, Silver, Gold) -Databricks
  • Set up and maintain Databricks workflows, jobs, notebooks, and DLT pipelines
  • Optimise performance using Databricks tools and follow best practices for clean, modular code
  • Work with AWS S3 to manage raw and processed data securely
  • Use Terraform and Databricks Asset Bundles
  • Automate AWS workflows using Boto3 (S3, Glue, Lambda)
  • Work with data scientists and engineers to keep data flowing across teams
  • Apply place checks for data quality, validation, and monitoring

Required Skills & Experience:

  • Strong coding in Python and PySpark
  • Experience with Databricks and Delta Lake
  • experience in AWS services, especially S3, Glue, Lambda, and Redshift
  • Experience using Terraform or CloudFormation
  • Comfortable automating AWS tasks with Boto3
  • prior experience building efficient, secure, and scalable pipelines
  • Works well in cross functional and remote teams
  • Databricks certification
  • Experience working in consultancies or fast paced delivery environments

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Contract

Job function

  • Job function

    Information Technology
  • Industries

    Staffing and Recruiting

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