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Work-from-home, early-career role building and maintaining BI dashboards and reports using QuickSight, Power BI, or Looker. Day to day: writing and optimizing SQL, using Python, validating data, documenting report logic, and supporting stakeholder reporting from systems like Jira.
Associate Data Engineer at iCXeed who builds, maintains, and improves BI dashboards and reports, writes SQL queries, and validates data while collaborating with senior BI analysts on data models, governance, and reporting. Remote work-from-home role in the Philippines, open to early-career professionals (0–2 years).
Canonical is hiring a Python and Kubernetes engineer focused on data, AI/ML and analytics solutions — building open-source data platforms, MLOps workflows and analytics tools across cloud and on-prem environments using Kubeflow, MLflow, DVC and Feast, on a globally distributed, time-zone-aligned team.
Senior Power BI Data Engineer who builds and maintains Power BI reports, semantic models, and ETL/ELT data pipelines (DAX, Power Query, SQL, Azure Data Factory, dbt, SSIS) with strong data governance, partnering with Finance, Operations, and Sales stakeholders. Fully work-from-home in the Philippines on Australian AEST/AEDT dayshift hours.
Senior Cloud Data Engineer building the analytics layer of BTC Power's fleet analytics platform on AWS — designing pipelines, data models, and customer-facing dashboards from OCPP telemetry across a DC fast charger fleet, while owning data quality, metrics, and lineage. Requires strong SQL, Python, and cloud data services expertise.
Hybrid, contractual Analytics Engineer role in Mandaluyong: collect, clean, and validate data, run statistical analysis and data mining, and build reports and dashboards for Marketing, Sales, Operations, and Finance teams. Core stack is SQL plus Python or R with BI tools like Power BI, Tableau, or Superset.
Builds and operates the AWS analytics layer for BTC Power's DC fast-charger fleet: streaming/batch pipelines from OCPP telemetry into a lakehouse, analytical data models, fleet reliability and trend dashboards, plus data quality checks and infrastructure-as-code. Core stack: SQL, Python, AWS data services (Kinesis, Lambda, S3, Glue, Athena, Redshift), Terraform/CDK.
Builds, maintains, and continuously improves analytical tools and manufacturing software (e.g., Label AI Verify, Transparent Line, Material Release Tool) that support data-driven decision-making on the shopfloor, and helps production staff adopt AI-driven solutions. Core stack: SQL, Python, Excel, and MES/ERP systems like SAP.
A senior hands-on data engineer serving as technical lead on client project teams: designing, building, and optimizing scalable data pipelines and cloud data platforms with SQL, Python, PySpark, Databricks, and AWS, while mentoring juniors, running code reviews, and supporting client and pre-sales work. Hybrid role, 3 days/week onsite in the Philippines.
Junior data engineer in the Philippines who develops and maintains ETL/ELT pipelines and supports Azure data platforms (Data Factory, Databricks, Synapse), monitors performance, handles incidents, and implements data quality and governance. Acts as main point of contact with Chinese counterparts, so fluent spoken and written Mandarin is required.
Senior data engineer owning and scaling the data platform behind systematic credit strategies at Arch Investment Management (part of Arch Capital Group). Day to day: ingesting market data from ICE, Bloomberg and LSEG, architecting pipelines and data governance, contributing to FastAPI production APIs, and driving CI/CD and observability alongside quant researchers.
Senior data engineer in Manila owning and scaling the data platform behind the company's quantitative strategies: architecting production pipelines, ingesting multi-source data, and partnering with quant researchers. Hands-on work emphasizing data governance, testing, CI/CD, observability, and reliable APIs built with FastAPI across DEV/STAGE/PROD.
Junior Azure Data Engineer in Metro Manila who builds data pipelines and ingestion solutions using Azure Data Factory, Synapse, and Databricks, while serving as the main liaison for Mandarin-speaking partners. Fresh graduates fluent in Mandarin are welcome and will receive training.
A mid-junior (1-3 yrs) data engineer who designs, builds, and maintains scalable data pipelines and ETL/ELT workflows in Snowflake, optimizes warehouse performance, and ensures data quality and governance while collaborating with analysts and BI developers. Core tech: Snowflake, SQL, cloud data integration.
Senior hands-on data engineer at Arch Investment Management (Arch Capital's investment arm) who owns and scales the data platform behind systematic credit strategies: building production financial-data pipelines and storage, FastAPI services, and testing/CI-CD practices alongside quant researchers. Core stack: Python, SQL, cloud, GitHub Actions.
Senior data engineer on Arch Investment Management's Risk & Quantitative Strategies team, owning and scaling the data platform behind systematic credit strategies — architecting production pipelines, ingesting diverse financial datasets, and partnering with quant researchers while upholding data governance and quality.
Join Credit Corp's internal Analytics & Data team in Makati to build and maintain data pipelines and warehouses, and deliver Power BI/Tableau dashboards. Work with operations, marketing and lending stakeholders using SQL, Python and cloud data tools like AWS, Snowflake and Databricks.
Entry-level data engineer on Eclaro's Data Services team in Metro Manila, building cloud data pipelines and supporting Master Data Management to deliver trusted enterprise data. Works with Python, SQL, Apache Spark, Databricks, and Azure/AWS in an Agile environment.
Senior hands-on data engineer owning and scaling the data platform behind systematic credit strategies at Arch Investment Management: building production pipelines for large-scale financial datasets, contributing to FastAPI internal services, and championing CI/CD, testing and observability. Core stack: Python, SQL, cloud platforms, GitHub Actions; Snowflake/Databricks desired.
Senior data engineer on Arch Capital's Risk & Quantitative Strategies team in Manila, owning and scaling the data platform behind systematic credit strategies. Day to day: architecting production data pipelines and storage for large-scale financial datasets, building FastAPI services, and ensuring data quality, CI/CD and monitoring — with Python, SQL, cloud platforms, Snowflake and Databricks.
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