Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Designs, develops, and maintains data pipelines and ETL/ELT solutions on Snowflake, including GenAI work with Cortex AI, for Accenture in the Philippines. Day-to-day work centers on SQL, Snowflake scripting, and at least one cloud platform (AWS, Azure, or GCP).
V2 Solutions is hiring a Data Engineer II in Negros Occidental, Philippines, to own end-to-end data platform work: designing and operating batch and real-time pipelines from ingestion through transformation to data products. The role involves collaborating with data scientists and analysts, mentoring junior engineers, and improving reliability, testing, and observability while contributing to clou
CodeRound is hiring a Data Platform Engineer in Negros Occidental, Philippines, to build and maintain scalable data infrastructure powering analytics, AI/ML, and BI. Day to day, the engineer designs and optimizes data pipelines, manages large-scale distributed processing on cloud infrastructure, and partners with data scientists and backend teams on security, reliability, and governance.
EY GDS Consulting is hiring a Senior Cloud Data Engineer in Negros Occidental, Philippines, to build cloud data ingestion and processing pipelines and contribute to data architecture best practices. Day-to-day work centers on BI tools, programming languages, CI/CD, and analytics in a global consulting environment.
Data engineer on Dow's Environment, Health, Safety & Sustainability IT team, based in Navi Mumbai, India, building data ingestion, storage, and reporting pipelines on Azure (Data Factory, Databricks, SQL, Python) to support EHS&S analytics and digital transformation projects.
A senior data engineer designs and deploys big data applications with PySpark (SparkSQL and Spark Streaming), builds Python data pipelines, converts PowerCenter mappings to PySpark jobs, and loads data from multiple databases into Amazon S3. The role also involves graph algorithms, advanced recursion, XML/JSON handling, and REST API work.
Senior data engineer at NNE (Novo Nordisk Engineering) who designs, builds and scales data platforms for pharma projects within Global IT. Day to day the role shapes solution design, mentors colleagues, and ensures data governance, security and reliable data delivery as part of a 50+ person cross-department data platform team.
Senior data engineering role at Accenture Philippines: design, build, and optimize Snowflake data solutions covering ingestion, transformation, performance tuning, and governance (RBAC, masking), while leading GenAI workflows built on Snowflake Cortex. Requires strong SQL and cloud platform (AWS/Azure/GCP) experience.
A data engineer who designs, builds, and maintains data pipelines and ETL processes on the Databricks platform, using PySpark, Python, and cloud platforms (AWS/GCP/Azure), with a focus on data quality and scalable, observable pipelines.
V2 Solutions is hiring an Azure AI & Data Platform Engineer in Negros Occidental, Philippines, to build and maintain scalable AI and data integration pipelines. Day-to-day work centers on Azure Durable Functions, Snowflake and SAP integrations, productionizing AI models with Data Scientists, and improving monitoring and CI/CD.
Designs, builds, and maintains data marts, ETL pipelines, and analytical assets on Azure cloud, ensuring the reliability, scalability, and performance of data platforms with monitoring and alerting for data quality. Core stack: Spark (Scala preferred, or PySpark/Java), Hadoop, Kafka, Impala, and SQL.
Mastercard Philippines is hiring a Senior Data Engineer to design and maintain large-scale data platforms, working across teams to validate, optimize, and productionize data pipelines. The core stack is Spark, Kafka, and NiFi, with emphasis on distributed streaming architectures and cloud-native data processing.
Designs and builds data platform architecture at Accenture Philippines, with hands-on development of ETL/ELT pipelines using AWS Glue, Python, PySpark and related AWS data services. Day to day includes automation, performance tuning, CI/CD support, and collaborating with Integration and Data Architects on data models and system integration.
A hands-on staff-level platform engineer who owns and operates a billion-row shared data platform, designing and running foundational systems for product and engineering teams. Core stack includes open-lakehouse formats (Iceberg/Delta/Hudi), batch and streaming ingestion, and orchestration on Kubernetes.
Data engineer acting as a subject-matter expert who builds and optimizes Databricks data pipelines, monitors and fixes data quality issues, and documents workflows while guiding team decisions. Core stack: Databricks, Python, ETL/integration tools, cloud data services, and data warehousing.
A senior hands-on engineer who architects, builds, and optimizes data pipelines and warehouse/lake infrastructure on Microsoft Azure (Data Factory, Synapse, Fabric) for external clients, while enforcing governance and CI/CD best practices and mentoring junior data engineers.
A data engineer who designs, builds, and maintains data marts, ETL pipelines, and big-data systems, ensuring their reliability, scalability, and performance with quality monitoring and alerting. Core stack is Scala/PySpark, Spark, Hadoop, Kafka, Impala, Azure Databricks, and related cloud data tools.
Mid-level data engineer owning slices of a data platform end-to-end: building and operating batch and streaming pipelines from ingestion to warehouse and data products using SQL, Python, Airflow, Kafka/Flink, dbt, Terraform, and GCP. The role also champions AI-assisted engineering (Claude Code) and builds GenAI-powered internal data tools like text-to-SQL and automated data quality.
Lead end-to-end Snowflake data solutions at Accenture Philippines: build scalable Snowflake pipelines, ensure data quality, migrate data via ELT, tune performance, and enforce governance with RBAC and masking policies while collaborating with business teams.
Design, build, and maintain scalable data platform infrastructure and ETL/ELT pipelines that power analytics, AI/ML, and BI for a Gartner-recognized AI supply chain scaleup. Core focus areas are distributed data systems, cloud infrastructure, and large-scale batch and real-time data processing.
We couldn't check your fit for this role — add a CV to your profile to see it next time.