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The Data Engineer will design and build modern data platforms using Databricks, Microsoft Fabric, and Azure. The role involves developing data pipelines and transformation models while working across various customer environments.
Synergia Ltd is hiring a Data Engineer in Auckland to design, build, and maintain ETL/ELT pipelines while collaborating with data scientists and consulting with non-technical stakeholders.
The Senior Big Data Engineer will lead Lakehouse architecture initiatives, develop ETL/ELT pipelines, and define data engineering standards. The role involves collaborating with Data Science and Analytics teams while providing technical leadership and mentoring in a hybrid work environment.
Lead a Data Platform engineering team at Cohere Health, driving execution of complex data initiatives, operational excellence, and evolution of the data platform using AWS, S3, Iceberg, Glue, Airflow, Spark/PySpark, and Athena.
Build and maintain a centralized BigQuery datalake, designing relational schemas, semantic layers, and ETL/ELT pipelines with SQL and Python to consolidate operational data and support reporting and LLM-based retrieval.
The Data/Analytics Engineer will build and maintain a centralized BigQuery data lake, designing schemas and ETL pipelines to support operational reporting and LLM-based chatbot retrieval. The role involves close collaboration with AI scientists to ensure data structure and metadata quality.
The Data Engineer will design, build, and maintain scalable data pipelines and cloud-based platforms on GCP to support retail business intelligence and analytics.
This role focuses on L2 data operations, providing support for production data pipelines, ETL/ELT processes, and incident management. The position also involves data migration support, stakeholder communication, and maintaining data quality and governance standards using tools like Microsoft PowerBI.
The Data Engineer will design and maintain OCR-based ingestion and ETL pipelines to support an AI-driven candidate matching platform. The role involves working with vector embeddings, LLMs, and AWS cloud infrastructure to process and analyze CV and job description data.
The Data Engineer will design and maintain scalable ETL/ELT pipelines in Azure Databricks to process insurance data. The role involves collaborating with stakeholders to deliver data assets, ensuring data quality and security, and automating workflows using tools like Azure Data Factory and GitHub Actions.
Senior data warehouse/BI engineer leading end-to-end development of regulatory report applications, focused on data modeling, ETL/ELT pipelines, and data processing workflows within a major banking environment.
This role involves building and managing large-scale supply chain data ingestion pipelines and transforming data within a Lakehouse architecture using Databricks or Microsoft Fabric. The engineer will collaborate with business stakeholders to create optimized data models for self-service BI.
Data engineer designing and maintaining ETL/ELT pipelines on Azure Databricks for insurance data, using PySpark/Scala, Python, Informatica, and GitHub Actions.
Data Engineer responsible for end-to-end incident management, daily monitoring of data pipelines and ETL/ELT processes, and participating in data migration projects using SQL, cloud data technologies, and enterprise data platforms.
Data Engineer building AI-powered CV/job matching platforms, focusing on data ingestion pipelines, OCR processing of CVs and job descriptions, and scalable ETL/ELT workflows on AWS.
ZigZag is seeking a Senior Data Engineer to design, build, and scale cloud-based data platforms that enable trusted analytics, operational reporting, and data-driven decision making across the organisation. This role…
Design, build, and maintain the full analytics delivery stack—from data transformation and modeling to Power BI dashboards—using dbt, SQL, and Databricks for a Philippine universal bank.
Design and maintain Snowflake-based data pipelines and ETL/ELT processes supporting analytics, reporting, and AI initiatives for the organization.
The Senior Data Engineer will design, build, and optimize data pipelines and storage architectures on Google Cloud Platform. The role involves troubleshooting complex data issues, mentoring junior engineers, and ensuring high-performance data retrieval using Python, SQL, and BigQuery.
Senior Staff Data Engineer at Infineon designing and optimizing scalable ETL/ELT data pipelines for structured/unstructured data and implementing agentic AI orchestration systems, using Python, SQL, and frameworks like MCP and LangChain.
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