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Data Engineer optimizing SQL queries and database structures for Oracle and Teradata in a hybrid role supporting Spain’s Social Security data office.
Migrate finance data from Teradata to Google Cloud BigQuery and optimize data pipelines for a finance modernization project.
Builds and optimizes marketing audiences using SQL and a CDP, then QAs campaigns to ensure flawless execution for email, push, and RCS channels.
Build and deploy LLM-powered systems to modernize large-scale data warehouses, automating SQL/Spark/Flink pipelines and validating transformations in production environments.
Designs and optimizes Michigan’s state data warehouse using Teradata, ETL pipelines, and performance tuning for hybrid work in Lansing.
Solution Engineer guiding enterprises to modernize data platforms using Microsoft’s cloud databases and analytics stack (Fabric, Azure Databricks, SQL DB, Cosmos DB) and AI integrations.
Designs and migrates secure, scalable cloud data platforms (GCP/AWS/Azure) for AI and analytics, embedding FinOps and data-mesh principles to modernize legacy systems.
Design and deploy Microsoft’s cloud data & AI platforms (Fabric, Azure Databricks, SQL/Cosmos DB) for high-growth startups, running PoCs, hackathons, and architecture workshops to modernize their analytics stack.
Analyze marketing data to optimize campaigns, build data pipelines, and create dashboards using SQL, Teradata, and Databricks to drive customer targeting and process improvements.
Senior Data Engineer to modernize legacy SQL Server/SSIS systems by migrating data to Teradata/Snowflake, reverse-engineering ETL flows, and ensuring accurate reporting outcomes.
Build and scale cloud-native data platforms and pipelines for a major bank, enabling AI-driven customer experiences, CRM, and operational intelligence using AWS, Snowflake, and Python.
Initial 12 months, strong likelihood for extension Flexible hybrid work Competitive pay, part of big transformation Senior Data Engineer Sydney / Melbourne / Canberra $750-900 a day plus super DOE Initial 12 months…
Position Overview We are hiring a potential Data Engineer for our Data management division to contirubute to one of the largest data platforms (TRUST) Role & Responsibilities Develop TRUST data strategy: Work with…
Builds and maintains data pipelines to migrate legacy sources (DB2, Teradata, files) into Snowflake, writes Python ETL scripts, and helps business teams create Power BI dashboards for data-driven decisions.
Builds Teradata reports and dashboards in Tableau, writes SQL stored procedures, and prepares weekly/monthly PowerPoint decks for a large enterprise client.
Design and build scalable data pipelines on Databricks and Azure to modernize Primark’s enterprise data platform and support reporting, analytics, and AI initiatives.
Design and build ETL pipelines to transform raw banking data into analytics-ready datasets using Python, SQL, and enterprise platforms like Snowflake or Teradata.
Designs and runs tests for bank data pipelines, ensuring data accuracy and compliance before production deployment.
Lead a team building and optimizing data pipelines in Teradata for a major bank, ensuring reliability and performance while mentoring engineers and collaborating with stakeholders.
Build and maintain scalable data pipelines on Databricks and Azure to power reporting, analytics, and AI at a large retail company.
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