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Senior Data Platform Engineer designing and overseeing data pipelines in Databricks on AWS, transforming raw data into analytics-ready datasets while contributing to governance and scalable lakehouse design in a hybrid Sydney office.
The Data Engineering Lead oversees the strategy, governance, and delivery of enterprise data platforms, including Microsoft Fabric, Azure Synapse, and Informatica. This role manages data integration, analytics, and BI initiatives while leading engineering teams to ensure operational excellence and platform reliability.
The Data Platform Engineer will design, develop, and optimize data platforms, pipelines, and integration solutions using Azure Data Factory, Databricks, and Synapse. This role requires an active NV1 security clearance and extensive experience with ETL/ELT processes and database management.
Ampstek in Sydney is seeking a Senior Data Engineer to design, build and optimize scalable data pipelines on Google Cloud Platform, enabling data-driven decision making across the organization. You will build data…
The Senior Data Engineer will design and optimize robust data pipelines and modern data warehouses using SQL Server, Informatica IICS, and Snowflake. This role focuses on delivering enterprise-level data solutions and improving data quality to support business-critical integration projects.
The Data Engineer will build and maintain scalable ETL/ELT workflows using Informatica, Python, and SQL to manage data within Google BigQuery. The role involves migrating legacy on-premise assets to the cloud and optimizing data pipeline performance.
Senior Data Engineer at EY FABERNOVEL leading the design, deployment, and governance of modern data cloud platforms (Snowflake, BigQuery, Databricks), automating ELT pipelines, coaching teams, and optimizing cloud costs using GitLab CI/CD, DBT, and Python.
The Cloud Data Engineer / AWS DevOps will design and maintain data pipelines, ETL processes, and cloud infrastructure for international industrial projects. The role balances 60% data engineering tasks using Snowflake and AWS services with 40% DevOps responsibilities including Terraform, CI/CD, and containerization.
The Data Engineer will design, industrialize, and maintain data pipelines within a secure AWS and Snowflake cloud environment. The role involves working closely with data, DevOps, and architecture teams to ensure high-performance data ingestion and processing.
The Data Engineer will design, industrialize, and maintain data pipelines within a secure AWS and Snowflake cloud environment. The role involves collaborating with Data, DevOps, and Security teams to ensure high-quality data ingestion and processing.
As a Data Engineer, you will design and maintain data pipelines, model databases, and build data architectures to support business decision-making. You will work with technologies like SQL and Python to optimize data flows and create reporting dashboards.
Stellantis is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and ETL/ELT processes. The role involves using Python, Spark, and cloud technologies to ensure data reliability and support data-driven decision-making across the organization.
As a Data Engineer at Davidson, you will design, develop, and maintain scalable ETL/ELT data pipelines and data warehouses on Google Cloud Platform. You will work with technologies like BigQuery, Python, SQL, and Airflow to support data-driven projects for various clients.
As a Data Engineer at Size Up Consulting, you will design and maintain data pipelines, model databases, and create dashboards to support business decision-making. The role requires strong proficiency in SQL and Python to optimize data flows and build modern data architectures.
Stellantis is seeking a Data Engineer to design and maintain scalable data pipelines for reporting and analytics. The role involves writing Python and PySpark code to optimize ETL/ELT workflows and data models to support data-driven decision-making.
As a Senior Data Engineer at Size Up Consulting, you will design and maintain data pipelines, model data warehouses, and create dashboards to support business decision-making. The role requires strong proficiency in SQL and Python to optimize data flows and architectures for various clients.
Seniority: Senior (6+ years enterprise + industrial integration; OT/IT convergence essential) Team fit: Owns the integration layer and data model that feed the twin; the highest-risk workstream in the program. About…
Senior DataOps/Cloud Data Engineer for a large public-sector data modernization initiative, designing and building cloud-based data pipelines and lakehouse solutions using Azure Data Factory, Databricks, Informatica, Python, and SQL.
Design and operate Microsoft Fabric workspaces, Lakehouse architecture, and CI/CD pipelines to deliver trusted dimensional models and Power BI semantic models for auto and property insurance data. Core technologies: Microsoft Fabric, Azure DevOps, SQL, PySpark, Delta Lake, and Power BI.
The Associate Data Engineer will build and maintain scalable data platforms using Snowflake and cloud-based tools. The role involves collaborating with cross-functional teams to develop ETL/ELT pipelines and data models.
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