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Data Engineer (AWS / Python / SQL – Time-Series) | Permanent Work-From-Home
JOB SUMMARY
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Job details
About SynctSynct 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 RoleWe 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 DoingBuild and maintain Python-based ETL and data ingestion pipelinesIngest, process, and store high-volume, time-series datasetsDesign and manage AWS serverless infrastructure (S3, Lambda, Glue, Athena)Develop and optimize PostgreSQL / TimescaleDB databases for high-frequency read/writeAutomate data cleaning, normalization, and validation processesSupport analytics, simulation, and pricing models with reliable data pipelinesWhat We’re Looking ForExperience as a Data Engineer, ETL Developer, or Data Pipeline EngineerStrong experience with AWS (S3, Lambda, Glue, Athena)Proficiency in Python for ETL, automation, and data processingAdvanced SQL skills using PostgreSQL, TimescaleDB, or similar databasesExperience working with time-series data, market data, or high-frequency datasetsAbility to work independently in a permanent work-from-home setupNice to Have:AWS certifications (Solutions Architect, Data Analytics)Experience in fintech, energy, trading, or financial data environmentsWhy You’ll Love Working with UsWe believe great work deserves great
benefits
, and the flexibility to build a long-term career from home. Work from home permanently – no office visits13th-Month PayCompany-Provided EquipmentHMO with Dental Life Insurance18 Vacation Leaves + 6 Sick LeavesBirthday LeaveTenure Incentives Quarterly PerksFree Meal Every 1st Friday of the MonthWork Details
Location
: Work-From-Home (Philippines)Employment Type: Full-time, PermanentReady 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.
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 RoleWe 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 DoingBuild and maintain Python-based ETL and data ingestion pipelinesIngest, process, and store high-volume, time-series datasetsDesign and manage AWS serverless infrastructure (S3, Lambda, Glue, Athena)Develop and optimize PostgreSQL / TimescaleDB databases for high-frequency read/writeAutomate data cleaning, normalization, and validation processesSupport analytics, simulation, and pricing models with reliable data pipelinesWhat We’re Looking ForExperience as a Data Engineer, ETL Developer, or Data Pipeline EngineerStrong experience with AWS (S3, Lambda, Glue, Athena)Proficiency in Python for ETL, automation, and data processingAdvanced SQL skills using PostgreSQL, TimescaleDB, or similar databasesExperience working with time-series data, market data, or high-frequency datasetsAbility to work independently in a permanent work-from-home setupNice to Have:AWS certifications (Solutions Architect, Data Analytics)Experience in fintech, energy, trading, or financial data environmentsWhy You’ll Love Working with UsWe believe great work deserves great
benefits
, and the flexibility to build a long-term career from home. Work from home permanently – no office visits13th-Month PayCompany-Provided EquipmentHMO with Dental Life Insurance18 Vacation Leaves + 6 Sick LeavesBirthday LeaveTenure Incentives Quarterly PerksFree Meal Every 1st Friday of the MonthWork Details
Location
: Work-From-Home (Philippines)Employment Type: Full-time, PermanentReady 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.
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