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Build and maintain ETL/ELT pipelines using PySpark and Azure Data Factory to process large-scale data operations.
Build and modernise client data pipelines using Microsoft/Azure tech, then deliver analytics tools that turn raw data into business insights across industries.
Lead a small team to design and maintain scalable data pipelines and warehouses using Azure Databricks, dbt, and Kimball dimensional modelling to support analytics and AI initiatives.
Design and maintain Azure-based data pipelines and lakehouse solutions using Synapse, Data Factory, and Informatica to power analytics and reporting for a government client.
Builds and maintains scalable data pipelines using PySpark and Azure Data Factory to process and transform large datasets for analytics and reporting.
Design and build cloud-based data pipelines and warehouses using Azure services, Python, and SQL to ingest, transform, and visualize government data.
Lead the design and maintenance of a data lake and warehouse, ingesting structured/unstructured data, and mentoring a team of data engineers using Azure Data Factory, Databricks, and Python.
Builds and maintains scalable Azure data pipelines using Data Factory, Databricks, and Synapse to support ETL/ELT workflows and ensure data quality and reliability.
Build and maintain Azure data pipelines and ETL/ELT processes using Data Factory, Databricks, and Synapse for scalable analytics.
Jenny Barbour IT and Project Recruitment seeks a Data Engineering Lead to own and evolve our enterprise data platform. You will lead a hands-on technical team, build scalable data pipelines with Azure Databricks, dbt…
Build and maintain Azure-based data pipelines for a large Australian insurer using Synapse, PySpark, Data Factory, and Data Lake Gen2.
What do you think of when you hear the name MNP? Most likely tax and accounting, but as one of Canada’s largest consulting organizations, we’re so much more! We’re also serious about technology. Make an impact with MNP…
Build and maintain data pipelines using Azure, Databricks, SQL, and Python to deliver reliable data for analytics and decision-making in a financial-services environment.
Build and maintain data pipelines and infrastructure for AI models that optimize Singapore’s transport network, using Python, SQL, Spark, Kafka, and cloud platforms.
Build and maintain data pipelines and infrastructure for AI models that optimize Singapore’s transport network, ensuring high-quality, real-time data from sensors and systems is reliably ingested and governed.
Design and maintain cloud-based data pipelines and analytics platforms on Microsoft Azure, integrating AI/ML workflows and ensuring data quality and governance.
Designs and builds secure, scalable data pipelines and cloud infrastructure for a public-sector agency using Python, SQL, and modern DevOps tools.
Builds and optimizes data pipelines in Snowflake and Azure Data Factory, designs data models, and translates business needs into technical solutions for analytics and reporting.
Design and execute large-scale data migrations from Cloudera and legacy systems to Azure Databricks using ADF pipelines, ensuring data integrity and reconciliation.
Build and maintain ETL/ELT pipelines and PySpark jobs to feed AI and analytics platforms; write SQL, validate data, and troubleshoot issues in a cloud-based data stack.
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