In-Demand Developer big data Jobs

Data Engineer
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- Up to $115,000 a year
- Full-time
- Databases
- SQL
- Analysis skills
- Work from home
- Parental leave
Quick Apply
2h
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4h
Global Advisory & Markets, Goldman Sachs Electronic Trading ( GSET ) Java/ C++ Developer, Associate,
Goldman Sachs —Sydney NSW
- Full-time
- Management
- Computer Science
- Engineering
- Travel reimbursement
- Health insurance

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Data Engineer

Multiservicios DYTC
Melbourne VIC

Quick Apply

Job Details

Full-time
Up to $115,000 a year
2 hours ago

Benefits

Work from home
Parental leave
Maternity leave
Referral program
Salary packaging

Qualifications

Big data
Databases
SQL
Analysis skills
Data pipeline
Data warehouse

Full Job Description

Data Engineer – Melbourne CBD

Multiservicios DYTC is expanding our technical infrastructure team at 120 Collins Street. We are seeking a full-time Data Engineer to take immediate ownership of our data pipeline architecture, data warehousing, and system integrations. This role sits at the core of our technical delivery, ensuring that our client-facing systems and internal analytics platforms operate on clean, optimized, and highly reliable data streams. The position offers a base salary of $115,000 per annum plus statutory superannuation.

The Focus of the Role

Your primary objective will be to design, construct, and maintain optimal data pipeline architectures. You will assemble large, complex data sets that meet functional business requirements, identifying and improving internal process bottlenecks such as automating manual data delivery or optimizing data delivery pipelines for peak performance. On a daily basis, you will support our data infrastructure, working directly with infrastructure architects and developers to ensure scalability, data integrity, and strict adherence to Australian data compliance standards.

Required Profile and Capabilities

We require a professional with a minimum of three years of dedicated data engineering experience. You must possess advanced working SQL knowledge and experience working with relational databases, query authoring, as well as working familiarity with a variety of databases. Experience building and optimizing big data pipelines, architectures, and data sets is essential, alongside strong analytical skills working with unstructured datasets. You must hold full, unrestricted working rights in Australia to be considered for this permanent position in Melbourne.

Application Process

If you have the technical capability to manage and optimize our data infrastructure from our central Melbourne office, please submit your current CV detailing your experience with modern pipeline tools and data warehousing architectures.

Pay: Up to $115,000.00 per year

Benefits:

Maternity leave
Referral program
Salary packaging
Work from home

Work Location: In person

Quick Apply

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