AI Summary
Synct is hiring a full-time, permanent Work-From-Home Data Engineer for an Australian client. The role involves building automated data pipelines, managing high-frequency time-series data, and ensuring data availability for analytics and pricing models. Key requirements include strong AWS and Python experience, advanced SQL skills with PostgreSQL/TimescaleDB, and experience with time-series data. This position offers a permanent remote setup with comprehensive benefits.
Key Highlights
Full-time, permanent work-from-home position
Focus on AWS, Python, and time-series data engineering
Supports an Australian-based client in energy markets, fintech, and advanced analytics
Key Responsibilities
Build and maintain Python-based ETL and data ingestion pipelines
Ingest, process, and store high-volume, time-series datasets
Design and manage AWS serverless infrastructure (S3, Lambda, Glue, Athena)
Develop and optimize PostgreSQL / TimescaleDB databases for high-frequency read/write
Automate data cleaning, normalization, and validation processes
Support analytics, simulation, and pricing models with reliable data pipelines
Technical Skills Required
Benefits & Perks
Work from home permanently
13th-Month Pay
Company-Provided Equipment
HMO with Dental & Life Insurance
18 Vacation Leaves + 6 Sick Leaves
Birthday Leave
Tenure Incentives & Quarterly Perks
Free Meal Every 1st Friday of the Month
Nice to Have
AWS certifications (Solutions Architect, Data Analytics)
Experience in fintech, energy, trading, or financial data environments
Job Description
About Synct
Synct assists businesses in engaging a global team and provides access to international talent pools by delivering people strategy, recruitment services, and HR solutions. We help global companies scale, while offering Filipino professionals stable, permanent work-from-home careers.
We support clients across Australia, New Zealand, North America, and the United Kingdom.
About the Role
We are hiring a Data Engineer (AWS / Time-Series) to support an Australian-based client operating at the intersection of energy markets, fintech, and advanced analytics.
This is a full-time, permanent work-from-home position focused on building automated data pipelines, managing high-frequency time-series data, and ensuring reliable data availability for downstream analytics and pricing models.
What You’ll Be Doing
- Build and maintain Python-based ETL and data ingestion pipelines
- Ingest, process, and store high-volume, time-series datasets
- Design and manage AWS serverless infrastructure (S3, Lambda, Glue, Athena)
- Develop and optimize PostgreSQL / TimescaleDB databases for high-frequency read/write
- Automate data cleaning, normalization, and validation processes
- Support analytics, simulation, and pricing models with reliable data pipelines
- Experience as a Data Engineer, ETL Developer, or Data Pipeline Engineer
- Strong experience with AWS (S3, Lambda, Glue, Athena)
- Proficiency in Python for ETL, automation, and data processing
- Advanced SQL skills using PostgreSQL, TimescaleDB, or similar databases
- Experience working with time-series data, market data, or high-frequency datasets
- Ability to work independently in a permanent work-from-home setup
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- AWS certifications (Solutions Architect, Data Analytics)
- Experience in fintech, energy, trading, or financial data environments
We believe great work deserves great benefits, and the flexibility to build a long-term career from home.
- Work from home permanently – no office visits
- 13th-Month Pay
- Company-Provided Equipment
- HMO with Dental & Life Insurance
- 18 Vacation Leaves + 6 Sick Leaves
- Birthday Leave
- Tenure Incentives & Quarterly Perks
- Free Meal Every 1st Friday of the Month
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Location: Work-From-Home (Philippines)
- Employment Type: Full-time, Permanent
If you’re a Data Engineer who enjoys building scalable data pipelines and wants a stable, permanent work-from-home role with an international client, we’d love to hear from you.
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