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Senior GenAI Data Engineer focused on social analytics: productionizing AI solutions with stakeholders, integrating NLP-driven insights, and delivering high-volume data projects.
Mid-level Data Engineer at CI&T in the Philippines building and owning scalable data pipelines and workflows within agile, cross-functional teams. Day to day involves designing data storage patterns, ensuring data quality, and writing clean, tested, documented code in a hybrid setup (3 days/week on-site).
Lead Data Engineer at Home Credit Philippines who drives data initiatives and designs a unified data platform on Azure Databricks, mentors the data engineering team, ensures production incidents meet SLA, and upholds data governance and security standards while shaping the platform roadmap.
Lead Data Engineer at Novare Philippines owning data integration and warehousing in the QTC domain: leading a team to design, build, and optimize ETL/ELT pipelines, migrating data from AWS S3 and Redshift into Snowflake, and handling dimensional modeling, compute warehouses, RBAC, and data governance. Core stack: Talend Cloud, Snowflake, AWS, SQL, and CI/CD tooling.
Data Engineer at MicroSourcing in Cebu (hybrid setup) who designs, builds, and maintains scalable data pipelines and ETL/ELT processes, integrates data from multiple sources, and optimizes data architectures for analytics. Core stack includes SQL, relational databases, Python/Java/Scala, and tools like Spark, Airflow, and dbt.
Arch Global Services (Philippines) in Manila is hiring a Data Engineer to design and maintain data pipelines that power real-time analytics, working with the Actuarial Operations team to build scalable data assets and robust ingestion processes. Core technologies include SQL, Python, dimensional modeling, and Apache Airflow orchestration.
Data Engineer focused on designing, building, and maintaining ETL pipelines and data integration solutions that feed business intelligence systems. Day-to-day work centers on Informatica (PowerCenter/IDMC/CDI/DEI), SQL against databases like Oracle and SQL Server, and data warehousing projects.
Builds and operates the data pipelines, AI agents, and automations behind RealPage's GRC function, focused on data governance (quality, lineage, catalog) and automating risk registers, policy workflows, and evidence collection. Day-to-day is Python/LLM engineering with RAG, tool calling, and MCP, deployed under human-in-the-loop controls and AI risk guardrails.
OneOcean Group is hiring a Data Engineer to design, build and maintain data ingestion, transformation and modelling pipelines that deliver timely, accurate data to internal stakeholders and customers. The focus is scalable ETL/ELT pipelines on cloud platforms (Azure/AWS), with data governance and redesigned reporting.
12-month contract Senior Data Engineer based in Mexico City with a global consumer products company, building scalable data pipelines and GenAI/Agentic AI solutions that classify social media data (TikTok, Instagram) using Python, SQL, NLP and LLMs. No sponsorship offered; bilingual Spanish/English required.
Lewis Personnel Management is hiring a data engineer in the Philippines to develop and maintain production data solutions and pipelines using Elixir (or Ruby) and Python, working with PostgreSQL, SQLite, and efficient SQL. It requires 2+ years of production Elixir/Ruby experience, 2-3 years in data roles, and familiarity with ML concepts.
Builds and maintains production data solutions and workflows using Elixir or Ruby alongside Python, working with PostgreSQL and SQLite. The role applies data engineering lifecycle practices, writes efficient SQL, and collaborates in a technical environment while managing priorities independently.
Data engineer designing and maintaining Snowflake-based data solutions: building data pipelines and ELT/ETL processes, tuning performance, implementing governance/RBAC, and enabling GenAI via Snowflake Cortex AI. Requires 2+ years with Snowflake, strong SQL, and at least one cloud platform; onsite in Cebu, Philippines.
Mid-level Data Engineer on Arch Insurance's Actuarial Operations team in Manila, building databases and data pipelines that power insurance pricing analytics and real-time decision-making. Core stack includes SQL, Python, Git, dimensional data modeling, and orchestration tools like Apache Airflow.
Data Engineer at OneOcean Group, a Lloyd's Register-owned maritime technology company based in the Philippines. The role designs, builds and maintains ETL/ELT pipelines, data warehouse modelling and reporting infrastructure using Python/PySpark, cloud platforms (Azure/AWS), CI/CD tooling and BI tools like Power BI and Apache Superset.
Azure Data Engineer at Whr Global Consulting designs, develops, and manages data pipelines and data lake architectures that support business analytics and decision-making, working on-site in Quezon City. The role centers on Azure, data processing frameworks, cloud infrastructure, plus SQL, DAX, and Python skills.
Builds and maintains large-scale data pipelines at NielsenIQ, transforming big datasets into facts and insights for clients, and optimizes Spark code. Core stack: Spark (Scala/PySpark), Python, Databricks, Airflow, SQL, Docker, Kubernetes, and Azure. Requires 5-8 years of hands-on data engineering experience.
Senior data engineer at Roblox defining the company-wide data ontology, building and maintaining batch/streaming ETL pipelines and analytics frameworks, and mentoring data engineers. Core stack: SQL, PySpark/Scala, orchestration tools like Airflow/Dagster, and major clouds. Onsite in San Mateo Tue-Thu; temporary role.
Senior data engineer on a lean squad embedded at a major Brazilian payments/finance player, building an AI-first financial reconciliation pipeline: ingesting sources into a bronze layer, refining silver, and creating AI-ready gold knowledge layers (embeddings, graphs) that feed LLMs and agents. Remote-first anywhere in Brazil.
Jobber is hiring a Manager, Data Engineering to lead a data engineering team that owns data ingestion, activation, governance, and self-serve tooling across Jobber's Data and ML platforms. The role blends people management (coaching, 1-on-1s, hiring) with technical strategy for scalable cloud data infrastructure using tools like Redshift, dbt, Airflow, and Kafka.
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