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Machine Learning Director
Leads a team of ML and Software Engineers to build and maintain PayJoy’s end-to-end ML ecosystem, including feature stores, model serving, and ETL/feature architecture, bridging business strategy and technical execution.
Data Engineering Manager - GCP
Design and build scalable ETL/ELT data pipelines on GCP using Python and SQL, leveraging services like BigQuery, Dataflow, and Cloud Composer for large-volume datasets.
AI-Driven Finance Data Engineer
Globe Telecom is hiring a data engineer to develop and maintain AI-augmented finance applications and automation tools. The role focuses on building production-scale ETL pipelines, managing IFRS 9 ECL validation, and ensuring robust data governance using Python and SQL.
Data Platform Engineer (DBA/ETL & Data Lake)
A Database Administrator/Data Engineer role focusing on maintaining stable MySQL/PostgreSQL environments, supporting Data Lake infrastructure, and optimizing ETL/ELT processes, with work on cloud and on-prem data platforms.
Enterprise Data Engineer: Azure & Databricks Pipelines
Data Engineer designing ETL/ELT pipelines and administering data stores using Azure Data Factory, Databricks, Oracle, and SQL Server to support enterprise reporting and analytics.
Hybrid ETL Developer - Data Warehousing & SAP BODS
Develops and maintains ETL pipelines, data warehousing solutions, and migrations while collaborating with stakeholders to support analytics goals, primarily using SAP BODS and SQL-based databases.
Data Engineer
On-site Data Engineer/Tech Architect role in Taguig/Makati, Philippines (night shift) focused on setting up and maintaining ETL pipelines, data architecture for relational databases, SQL optimization, and business intelligence visualizations.
Senior Data Engineer
The Senior Data Engineer will design and build scalable data infrastructure and ETL/ELT pipelines within an Azure and Databricks Lakehouse environment. The role involves collaborating with cross-functional teams to support AI and analytics workloads while mentoring junior engineers.
Junior Data Engineer
The Junior Data Engineer will assist in developing and maintaining ETL/ELT pipelines, writing complex SQL queries, and ensuring data quality. The role requires strong proficiency in Python and SQL, with a focus on collaborating with cross-functional teams to build robust data architectures.
Junior Data Engineer - ETL/ELT Pipeline Builder
Build and deploy ETL/ELT pipelines to integrate data from multiple sources into centralized repositories using Python, SQL, and cloud data platforms.
Data Engineer
Data Engineer building and optimizing enterprise data pipelines and architecture using Snowflake and Informatica, supporting data scientists, analysts, and developers at a mortgage banking firm.
Manager, BI + Analytics Engineer
Build and scale Peregrine’s internal analytics stack, modeling data in dbt and Snowflake to power dashboards and KPIs for Sales, Marketing, Product, and Finance.
Customer Insights Analyst
Customer Insights Analyst using SQL, Python/R, and BI tools to analyze customer behavior, build predictive models (churn, LTV, propensity), and deliver data-driven insights to marketing and brand teams at an international travel company.
Data Engineer
The Data Engineer will design and maintain data pipelines on Azure using medallion architecture, ensuring data governance and security. They will also transform data for Power BI models and optimize Azure workload performance.
Sr. Software Developer
Senior developer building and maintaining software components, databases, and ETL pipelines while mentoring junior engineers and improving CI/CD workflows.
Data Engineer
The Data Engineer will design and build data pipelines, develop ETL workflows, and create data models to support production systems. The role involves analyzing data sources for accuracy and translating business requirements into technical solutions.
Software Developer/Systems Engineer
The Software Developer/Systems Engineer builds and maintains enterprise data pipelines, orchestrating ETL processes and integrating AI for data extraction. The role involves monitoring system performance, resolving API issues, and evaluating new technical tools.