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Data Engineering Tech Lead - Databricks, Azure Data Factory, DBT & Python at Deloitte - ApplyBlast

Data Engineering Tech Lead - Databricks, Azure Data Factory, DBT & Python

Deloitte

5 months ago

3.8 on Glassdoor

Sydney, Australia

Hybrid

Full Time

Senior

0 applicants

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About this role

A Data Engineering Tech Lead at Deloitte's Data & Analytics department works on cutting-edge enterprise data solutions using Databricks, Azure Data Factory, DBT, and Python, collaborating with a high-performing, agile team to deliver impactful insights across Deloitte.

Responsibilities

Develop and maintain scalable data pipelines using Databricks and Azure Data Factory
Transform raw data into actionable insights using Data Build Tools (DBT) and Python
Build and maintain data integrations across systems using APIs
Monitor and optimise workflows for performance and cost-efficiency
Lead project delivery pods, mentor junior team members, and conduct code reviews

Skills

Qualifications

Bachelor’s degree in Computer Science, Information Technology, or related fieldAdvanced degrees or relevant certifications in Azure or Databricks

About Deloitte

deloitte.com

Headquarters

Belgrade, Central Serbia, Serbia

Company Size

10001+ employees

Founded

1845

View Profile

Deloitte is a global professional services network and one of the "Big Four," providing audit & assurance, tax, consulting, risk advisory, and financial advisory services through member firms in more than 150 countries. It serves public- and private-sector clients across industries with strategy, digital and technology transformation, cybersecurity, analytics, human capital, and transaction support. Deloitte combines deep industry expertise, technology partnerships, and multidisciplinary teams to drive measurable business outcomes, innovation, and sustainability. Clients rely on Deloitte for its global scale, regulatory knowledge, and integrated advisory and implementation capabilities.