Liverpool City Council17 jobs

Data Engineer

Mid levelFull-timeHybridSydney NSW, AustraliaPosted 5 days agoVerified 1 day ago
Pending fitX of Y criteria met

About the job

As a Data Engineer at Liverpool City Council, you will play a crucial role in shaping the organization's data strategy. Your expertise will help build and enhance a robust data infrastructure that supports various projects and initiatives. Collaboration with cross-functional teams is key, as you work together to meet diverse data needs while staying ahead of emerging technologies. Join a dynamic team that values innovation and is committed to making a lasting impact in the community.

Meet the team

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You'll be responsible for

🔄

Designing and developing data pipelines

Create scalable data pipelines for collecting, processing, and storing data from various sources, ensuring real-time data integration where necessary.
🏢

Building and maintaining data infrastructure

Develop and maintain databases, data systems, and data warehouses that support a variety of data initiatives, including Data Lakehouse Architecture, Data Mesh, and Data Vault.
⚙️

Optimizing data infrastructure

Continuously optimize data infrastructure for performance, scalability, and reliability, ensuring it can handle large datasets and high-velocity data.

Key criteria

🔧

Data engineering experience

Demonstrated experience in designing and maintaining data infrastructure.

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☁️

Cloud platform expertise

Hands-on experience with AWS, Azure, or Google Cloud services.

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📊

Database management skills

Proven ability to design and manage databases and data warehouses.

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View more

A meaningful career starts with a match

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5 criteria for this job
Data engineering experience
Demonstrated experience in designing and maintaining data infrastructure.

View

Cloud platform expertise
Hands-on experience with AWS, Azure, or Google Cloud services.

View

Database management skills
Proven ability to design and manage databases and data warehouses.

View

Data quality improvement
Experience identifying and enhancing data reliability and efficiency.

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Cross-functional collaboration
Proven ability to work effectively with diverse teams and stakeholders.

View

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