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
Requirements:
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
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
What We’re Looking For
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
Why You’ll Love Working with Us 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
Nice to Have:
AWS certifications (Solutions Architect, Data Analytics)
Experience in fintech, energy, trading, or financial data environments
Work Details
Location: Work-From-Home (Philippines)
Employment Type: Full-time, Permanent
Ready to Apply? 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.
