Data Engineer
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- Pay
- Salary not listed in the saved posting
- Work setup
Remote stated — work setup source
This is a remote position. Job title: Data Engineer
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingDesign, build, and maintain scalable and reliable data pipelines using Azure Synapse Analytics and Azure Data Factory.
Work closely with stakeholders to understand data requirements and implement systems for large-scale data analysis and reporting.
Ensure data quality and consistency across data pipelines and implement secure and compliant data handling procedures.
From the employer’s posting
Responsibilities: Design, build, and maintain scalable and reliable data pipelines using Azure Synapse Analytics and Azure Data Factory. Work closely with stakeholders to understand data requirements and implement systems for large-scale data analysis and reporting.
Design, build, and maintain scalable and reliable data pipelines using Azure Synapse Analytics and Azure Data Factory. Work closely with stakeholders to understand data requirements and implement systems for large-scale data analysis and reporting. Ensure data quality and consistency across data pipelines and implement secure and compliant data handling procedures.
Work closely with stakeholders to understand data requirements and implement systems for large-scale data analysis and reporting. Ensure data quality and consistency across data pipelines and implement secure and compliant data handling procedures. Collaborate with data scientists and analysts to support data modelling, analysis, and machine learning projects.
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in computer science, Engineering, Mathematics, or a related field (Experience > Education)
- Proven expertise in SQL, Python, and other scripting languages.
- Experience with data modeling, ETL processes, and data warehousing principles.
- Excellent communication skills, with the ability to convey complex technical information to non-technical stakeholders.
Preferred experience
- Familiarity with Azure Databricks, Azure Data Lake Storage, and other components of the Azure data ecosystem is a plus.
Qualification wording
Bachelor’s degree in computer science, Engineering, Mathematics, or a related field (Experience > Education)
Proven expertise in SQL, Python, and other scripting languages.
Experience with data modeling, ETL processes, and data warehousing principles.
Excellent communication skills, with the ability to convey complex technical information to non-technical stakeholders.
Familiarity with Azure Databricks, Azure Data Lake Storage, and other components of the Azure data ecosystem is a plus.
Tools in this posting
- Python
- SQL
- Azure
- Databricks
- Power BI
Source — Tool mentions in context
- Minimum of 3 years of experience in a data engineering role with a strong focus on Microsoft Azure data services, particularly Azure Synapse Analytics and Azure Data Factory. - Proven expertise in SQL, Python, and other scripting languages. - Experience with data modeling, ETL processes, and data warehousing principles.
Rate: 60,000 - 100,000 Philippine Pesos per month We are seeking a highly skilled and experienced Data Engineer to join our Data Engineering team. The ideal candidate will have a strong foundation in data processing and analytics, with specific expertise in Microsoft Azure's Synapse Analytics and Azure Data Factory. You will play a crucial role in developing and optimizing our data pipeline architecture, as well as managing and improving data flow and collection for cross-functional teams. Responsibilities:
Responsibilities: - Design, build, and maintain scalable and reliable data pipelines using Azure Synapse Analytics and Azure Data Factory. - Work closely with stakeholders to understand data requirements and implement systems for large-scale data analysis and reporting.
- Bachelor’s degree in computer science, Engineering, Mathematics, or a related field (Experience > Education) - Minimum of 3 years of experience in a data engineering role with a strong focus on Microsoft Azure data services, particularly Azure Synapse Analytics and Azure Data Factory. - Proven expertise in SQL, Python, and other scripting languages.
- Experience with data modeling, ETL processes, and data warehousing principles. - Familiarity with Azure Databricks, Azure Data Lake Storage, and other components of the Azure data ecosystem is a plus. - Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
- Excellent communication skills, with the ability to convey complex technical information to non-technical stakeholders. - PowerBI experience is also advantageous. Benefits
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 136d ago
- Recorded sightings
- 113
- Last seen by us
- Oct 16, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
This is a remote position.
Job title: Data Engineer
Schedule: Full time; 40 hours per week; Monday to Friday
Rate: 60,000 - 100,000 Philippine Pesos per month
We are seeking a highly skilled and experienced Data Engineer to join our Data Engineering team. The ideal candidate will have a strong foundation in data processing and analytics, with specific expertise in Microsoft Azure's Synapse Analytics and Azure Data Factory. You will play a crucial role in developing and optimizing our data pipeline architecture, as well as managing and improving data flow and collection for cross-functional teams.
Responsibilities:
- Design, build, and maintain scalable and reliable data pipelines using Azure Synapse Analytics and Azure Data Factory.
- Work closely with stakeholders to understand data requirements and implement systems for large-scale data analysis and reporting.
- Ensure data quality and consistency across data pipelines and implement secure and compliant data handling procedures.
- Collaborate with data scientists and analysts to support data modelling, analysis, and machine learning projects.
- Monitor and optimize performance of data pipelines and databases.
Requirements
- Bachelor’s degree in computer science, Engineering, Mathematics, or a related field (Experience > Education)
- Minimum of 3 years of experience in a data engineering role with a strong focus on Microsoft Azure data services, particularly Azure Synapse Analytics and Azure Data Factory.
- Proven expertise in SQL, Python, and other scripting languages.
- Experience with data modeling, ETL processes, and data warehousing principles.
- Familiarity with Azure Databricks, Azure Data Lake Storage, and other components of the Azure data ecosystem is a plus.
- Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
- Excellent communication skills, with the ability to convey complex technical information to non-technical stakeholders.
- PowerBI experience is also advantageous.
Benefits
- Permanent work from home
- AU morning shift
- Fun and engaging culture
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on getmycourse.zohorecruit.com.au. The employer’s form will show what is required.
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