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Data Engineer – Azure & Databricks
Build and optimize Azure-based data pipelines and Databricks environments to process large datasets, enabling analytics and insights for the business.
Senior Data Engineer - Finance Data Platform
Build and maintain scalable data pipelines and models for financial planning, reporting, and forecasting using Databricks, SQL, and EPM tools like TM1.
Senior Data Engineer - Azure Lakehouse & AI (Hybrid)
Designs and builds scalable Azure-based data pipelines and lakehouse solutions to enable AI and analytics for enterprise clients.
Databricks Tech Lead: Data Ingestion & Lakehouse Architect
Lead a team to design and scale Databricks-based data ingestion pipelines, architecting Bronze-Silver-Gold layers with Delta Lake and Unity Catalog for enterprise Lakehouse platforms.
Azure Data Engineer: Lakehouse & AI Analytics (Hybrid)
Designs and builds scalable Azure-based data pipelines and lakehouse solutions using Microsoft Fabric to enable AI-driven analytics and reporting for enterprise clients.
Senior Data Engineer - Databricks on Azure | Hybrid Role
Designs and optimizes Databricks Lakehouse and Azure-based data pipelines using Delta Lake, Spark, and Fabric, with Python/SQL and CI/CD practices.
Data Engineer
Design and build scalable cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable analytics and AI for enterprise clients.
Senior Data Engineer
Design and build scalable data pipelines using PySpark, Databricks, and Azure services to transform raw data into business insights for Toyota Finance Australia’s automotive financing operations.
Data Engineer
Design and build cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Data Platform Engineer
Build and maintain scalable data pipelines on AWS and Databricks using Python, PySpark, and SQL to deliver reliable, high-quality data for analytics and decision-making.
Senior Data Engineer
Build and maintain scalable AWS-based data pipelines and lakehouse architecture, using Python and PySpark to ingest, transform, and serve scholarly publishing data for analytics and AI initiatives.
Senior Data Platform Engineer: Lakehouse & Cloud DataOps
Own and modernize the data stack by building a lakehouse with S3, Redshift Spectrum, and dbt, while scaling MWAA and optimizing pipelines for reliability and cost.
DLH Support Engineer - 24x7 Data Lakehouse Ops
Mobilink Bank is seeking a DLH Support Engineer to monitor, triage, and resolve issues across our Data Lakehouse pipelines. The role covers 24x7 operations with night/weekend shifts, focusing on Iceberg/MinIO/Trino…
Senior Data Engineer
Designs and maintains scalable data pipelines using Airflow, Spark, Kafka, and Iceberg tables, containerized via Docker/Kubernetes and deployed through GitLab CI/CD.
Data Engineer
Build and maintain scalable data pipelines, warehouses, and semantic models in Microsoft Fabric and Azure Data Factory to power reporting and integrations for nonprofit-focused software.
Azure Fabric Data Platform Engineer: Lakehouse & Governance
Designs and builds Azure Fabric lakehouse architectures and data pipelines using Spark, while enforcing data governance and compliance standards.
Data Platform Engineer - Security (m/f/d)
Builds and maintains real-time data pipelines and cyber data lakes that feed SIEM/SOAR systems, enabling threat intelligence, incident response, and compliance in a banking environment.
Software Engineer (Data Platform)
Build and maintain a scalable data platform using Trino, Redshift, BigQuery, and Apache Iceberg to power security analytics and remediation.
Data Platform Engineer — Scalable Lakehouse & Observability
Build and maintain scalable data infrastructure using Trino, Redshift, BigQuery, and Apache Iceberg for analytics engines and Lakehouse environments.
Data Platform Engineer
Build and operate the cloud infrastructure and data pipelines that power SentraAI’s enterprise AI and analytics systems using Terraform, event streaming, and observability tools.