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The Data Engineer will design, develop, and maintain scalable data pipelines and ETL/ELT processes within AWS and Snowflake environments. The role involves collaborating with cross-functional teams to optimize data structures and ensure high-quality, reliable data solutions.
Data Engineer building ETL/ELT pipelines in a Lakehouse environment using Databricks (Unity Catalog), Spark, and Azure Data Factory, collaborating with architects and analysts on a greenfield data platform.
Senior Data Engineer designing scalable data platforms and pipelines using Microsoft Fabric and Azure, building Lakehouse/data warehouse solutions and semantic models for Power BI analytics while advising customers.
Vincit is looking for a Databricks Engineer to design and implement data platforms and lakehouse architectures for various clients. The role involves both advisory work and hands-on development to ensure reliable data pipelines.
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.
Lead data platform design and development on AWS/Databricks (Spark, Airflow) for petabyte-scale vehicle validation time-series data, while mentoring a data engineering team.
Stellantis is seeking a Senior Data Engineer to design and maintain scalable data platforms using AWS and Databricks. The role involves developing data pipelines with Spark, Scala, and Python while providing technical leadership and mentoring to the engineering team.
Onyx-Conseil is seeking a Data Engineer to build and scale high-volume data pipelines using a modern data stack including Databricks, S3, and Lakehouse architecture. The role focuses on data collection, transformation, and quality within an international product-oriented environment.
Data Engineer designing and implementing lakehouse solutions and automated pipelines using Azure and Databricks, migrating legacy pipelines to Delta Lake-based offerings while collaborating with IT and business partners in an Agile environment.
The Data Engineer will build and maintain scalable data pipelines within a Databricks Lakehouse to transform survey and behavioral signals into marketing audience products. The role utilizes Python, SQL, and Spark to ensure high data quality for audience solutions.
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.
Own and advance the Lakehouse Platform (Iceberg, Spark, Snowflake), driving architectural strategy and building scalable data infrastructure to enable secure, governed analytics for engineering, ML, and business teams.
The Data Engineer will design and build modern data platforms using Databricks, Microsoft Fabric, and Azure. The role involves developing data pipelines with Python, SQL, and Spark/PySpark while working with lakehouse architectures.
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.
The Principal Data Engineer will provide enterprise-wide technical leadership for data platforms and governance at NZTA, mentoring staff and shaping data and AI capabilities. The role involves strategic decision-making and technical assurance for complex, high-impact data programs.
The Senior Data Platform Engineer & Cloud Architect will design and operate enterprise-scale AWS data platforms, focusing on automation, CI/CD, and cloud infrastructure. This role involves leading technical initiatives, mentoring teams, and bridging architectural strategy with hands-on engineering using tools like Terraform, Airflow, and Python.
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.
Builds the data flywheel platform and foundation-model infrastructure at Wayve, focusing on data curation pipelines, model evaluation/training systems, and distributed data processing using Python, Ray, Spark, and lakehouse technologies.
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.
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