In-Demand Data engineer Jobs in Zetland, Nsw

Data Engineer
Vapar —Sydney NSW
- $120,000 - $150,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Data analysis skills
- Travel reimbursement
- Employee stock purchase plan
Quick Apply
ICT QA Engineer - Sydney NSW
Collective Intelligence Group —Condell Park NSW
- $80,000 - $85,000 a year
- Full-time
- Computer Science
- Microsoft Office
- SQL
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Software Engineer
High Limit Studio —Ashfield NSW
- $70,000 - $90,000 a year
- Full-time
- Hybrid work
- Computer Science
- Bachelor's degree
- Software development
Quick Apply
Software Engineer
NextGen —North Sydney NSW
- Hybrid work
- Azure
- SQL
- AWS
Quick Apply
Data Engineer – Snowflake & AWS
Neuronimbus Digital Pty Ltd —Sydney NSW
- $750 - $770 a day
- Contract
- Hybrid work
- SQL
- AWS
- Agile
Quick Apply
4h
Data Engineer
Centelon Pty Ltd —North Sydney NSW
- $91,383 - $164,767 a year
- Full-time
- Hybrid work
- Azure
- Communication skills
Quick Apply
6d
Senior Document Controller – Procore Experience Required
SUBS Construction —Sydney NSW
- $80,541.43 - $150,152.02 a year
- Full-time
- Microsoft Office
- Construction
- In-person
Quick Apply
Building Services Customer Success Manager
CIM Operations Pty Ltd —Sydney NSW
- $130,000 - $150,000 a year
- Full-time
- Customer service
- Analysis skills
- HVAC
- Employee stock purchase plan
- Work from home
Quick Apply
11d
Assistant Accountant
Interspan Pty Ltd —Chatswood NSW
- $80,000 - $940,000 a year
- Full-time
- Hybrid work
- Management
- Work from home
- Parental leave
Quick Apply
7d
Renewable Project Engineer
Global Sustainable Energy Solutions —Waterloo NSW
- $60,000 - $95,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
Quick Apply
Civil Engineer
GEN 21 PTY LTD —Sydney NSW
- $80,000 - $120,000 a year
- Full-time
- AutoCAD
- Civil engineering
- Management
Quick Apply
AWS Data Engineer
CareCone Australia —Sydney NSW
- $94,345.86 - $173,391.69 a year
- Full-time
- Management
- Databases
- AWS
Quick Apply
Data Engineer
Macquarie Group Limited —Sydney NSW
- SQL
- Financial services
- AI
AI & Automation-Engineer
UpGuard —Sydney NSW
- $1,500 a month
- Full-time
- Remote
- Azure
- Master's degree
- Databases
- Annual leave
- Parental leave
Service Desk Engineer
TechConnect IT Solutions PTY Ltd —Alexandria NSW
- $90 - $105 a year
- Full-time
- Customer service
- Databases
- Machine learning
Quick Apply
Software Engineer (Data)
VivCourt Trading —Sydney NSW
- Databases
Senior Full Stack Engineer
Chemist2U Australia Pty Ltd —Eveleigh NSW
- Full-time
- Hybrid work
- Management
- AWS
- Software development
Quick Apply
13d
Software Engineer (Multiple Levels)
UpGuard —Sydney NSW
- $1,500 a year
- Full-time
- Remote
- AI
- Annual leave
- Parental leave
Product Analytics Engineer
coreflow —Sydney NSW
- $200,000 - $500,000 a year
- Full-time
- Analytics
Quick Apply
Data Engineer
HelloFresh —Sydney NSW
- Urgently hiring
- Hybrid work
- Computer Science
- SQL
- AWS
Quick Apply

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Data Engineer

Vapar
Sydney NSW

Quick Apply

Job Details

Permanent | Full-time
$120,000 - $150,000 a year

Benefits

Travel reimbursement
Employee stock purchase plan
Work from home
Parental leave
Referral program

Qualifications

Azure
Computer Science
Software Engineering
Data analysis skills
Databases
SQL
AWS
Bachelor's degree
Machine learning
Deep learning
Software development
Communication skills
Construction inspection

Full Job Description

Location - Australian based (Remote) with working rights
Reports To - Senior Data Science Engineer, VAPAR

About VAPAR

VAPAR is deep-tech company accelerating asset health improvements on wastewater and drainage networks. By leveraging AI and automation, we empower clients to rapidly find and fix problematic underground assets before they fail. Our solutions are used to drive efficiencies by leading UK water companies, as well as utilities in the US, Australia and New Zealand. Last year alone, VAPAR's AI technology has powered asset health investments on over 2 million metres of pipe in United Kingdom, United States, Australia and New Zealand and continues to scale globally through partnerships with Autodesk and Microsoft.

We turn visual data about every-day pipes directly into condition scores so maintenance and repairs happen faster, cheaper and more accurately.

About the role

We're looking for someone mid to senior level who is comfortable taking ownership of their role. In this role, you'll be working within our tech team on our automation technology, creating high performance models and generating insights. As the team grows, you'll have the opportunity to grow with a great team, and we'll support you with the required training to do so. We want you to become a pillar of the team and have a big impact on what we're building at VAPAR.

As a Data Engineer at VAPAR, you'll actively contribute to the development of AI-powered solutions that tackle the complex problems associated with pipe and sewer maintenance. Our company culture thrives on innovation, teamwork, respect and a relentless pursuit of excellence. While enjoying the flexibility of a fully remote position within Australia, you'll collaborate with a diverse team of professionals who share your enthusiasm for cutting-edge technology and its potential to shape a better future for infrastructure management.

Day in the life

We are seeking an experienced and motivated Data Scientist with a minimum of 3 years of experience to join our development team. The ideal candidate should be well-versed in software development principles, possess a strong foundation in Python programming, and demonstrate a proven track record in data engineering and model development. In addition to these skills, the right candidate should have a good understanding of deep learning frameworks and be well versed in libraries such as PyTorch and Tensorflow (ideally 1-2 years hands on). As a Data Scientist at VAPAR, you'll collaborate with the team to deliver high-quality software solutions that meet customer needs and drive company success.

In this role, you'll…

Develop, test, and maintain model training, testing and inferencing code following industry best practices and coding standards.
Conduct exploratory data analysis to identify trends, patterns, and insights.
Extract, transform, and load data from various sources, and use SQL queries to extract insights from the data
Collaborate with product managers and other engineers to bring together data from different sources for the purpose of data analytics and model monitoring.
Apply your expertise with Azure to develop against cloud-based services.
Participate in code reviews to ensure code quality, performance, and adherence to coding standards.
Identify and troubleshoot performance issues and provide timely solutions to uphold product integrity.
Contribute to the architecture, design, and implementation of enhancements.
Create and maintain technical documentation, including specifications, design documents, and user guides.
Stay updated with emerging technologies and trends in data science to drive continuous improvement.

Must-have skills

On day one we'll expect you to have…
Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field (or equivalent work experience).
2+ years of professional experience in Python software development and its libraries, especially in the context of data analysis and machine learning.
SQL skills: You should be comfortable working with SQL to extract and manipulate data from databases.
ETL experience: You should have some level of experience working with ETL (Extract, Transform, Load) processes and tools to manage data from different sources.
Model monitoring experience: You should have experience monitoring the performance of machine learning models, identifying and resolving issues, and implementing solutions to ensure model accuracy.
Product performance measurement: You should have some level of experience or knowledge in measuring and analyzing product performance metrics, including developing and maintaining internal dashboards and data visualization tools.
Solid understanding of software development principles, algorithms, and data structures.
Familiarity with industry standard software development methodologies, such as Agile or Scrum.
Ability to analyse and solve complex technical problems and work independently in a remote setting.
Excellent communication skills, both written and verbal.
Experience with Azure and/or AWS cloud-based offerings.

Selling points

Flexible working hours with ability to work remotely
Work with a driven, fun and switched on team that likes to raise the bar in all that we do.
Genuine career growth opportunities as we continue to expand!

More about VAPAR

Website: CCTV Pipe Inspection Software Powered with AI - https://vapar.co/

LinkedIn: https://www.linkedin.com/company/vapar

VAPAR was founded by Amanda Siqueira and Michelle Aguilar in 2018. As a Civil Engineer, Amanda had seen enough of the inefficiencies in the pipe condition assessment process, and teamed up with Michelle (a Mechatronic Engineer with Intelligent Systems experience) to build technology to enable pipe asset managers to revolutionise their way of working. Since then, the VAPAR team has grown and now has clients in Australia, the UK and New Zealand and continues to scale.

Pay: $120,000.00 – $150,000.00 per year

Benefits:

Employee stock purchase plan
Parental leave
Referral program
Travel reimbursement
Work from home

Application Question(s):

Are you located in Australia?

Experience:

Data Engineering: 2 years (Required)
SQL: 1 year (Preferred)
Python: 2 years (Required)

Work Authorisation:

Australia (Required)

Work Location: Hybrid remote in Sydney NSW

Quick Apply

Refine Your Search

data engineer jobs in zetland, nsw

Data Engineer

ICT QA Engineer - Sydney NSW

Software Engineer

Software Engineer

Data Engineer – Snowflake & AWS

Data Engineer

Senior Document Controller – Procore Experience Required

Building Services Customer Success Manager

Assistant Accountant

Renewable Project Engineer

Civil Engineer

AWS Data Engineer

Data Engineer

AI & Automation-Engineer

Service Desk Engineer

Software Engineer (Data)

Senior Full Stack Engineer

Software Engineer (Multiple Levels)

Product Analytics Engineer

Data Engineer

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