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Senior Azure Data Engineer designs and implements cloud data platforms, warehouses, and analytics pipelines using Azure Synapse, Data Factory, and Fabric for a 3-month contract.
Build and own a production-grade Azure Data Fabric that integrates semantic financial data models, data pipelines, and validation services to power AI, automation, and business-critical services across multiple countries.
Build and own a scalable Azure-based data platform for Staria’s Intelligent Automation team, integrating financial data pipelines, semantic models, and AI-driven services to automate and validate cross-country ERP workflows.
Designs and executes a migration of high-volume healthcare data from Oracle Clarity to Google BigQuery, building automated pipelines and validating data integrity for clinical reporting.
Senior Data Engineer builds scalable data pipelines and architectures (Snowflake, Databricks, dbt) to help clients turn data into AI-driven business value.
Migrate legacy Epic Clarity (Oracle) healthcare data to Google BigQuery, designing ETL pipelines and resolving schema/data-type incompatibilities.
Build and own data pipelines that unify Oura’s membership data into a reliable single source of truth, integrating subscription billing, CRM, and app engagement systems.
Build and maintain scalable ELT pipelines and data infrastructure for Spirii’s EV charging platform, ensuring reliable data flow into Amazon Redshift and supporting analytics for charging events, subscriptions, and financial transactions.
Lead the end-to-end data and integration architecture for a bank’s credit platform, ensuring robust, traceable, and compliant data flows across internal and third-party systems.
Build and maintain data pipelines, models, and governance controls to ensure high-quality, traceable data for a large financial institution.
Build and optimize a Databricks-based Lakehouse platform for a multi-channel retail business, transforming raw data into scalable, business-ready insights using PySpark, Delta Lake, and Unity Catalog.
Build and maintain scalable data pipelines and curated data assets for agency servicing use cases, ensuring reliability, auditability, and governance while collaborating with cross-functional teams.
Senior Java engineer leads large-scale data migrations and builds petabyte-level ETL pipelines using Java, Spark, and cloud platforms, while mentoring teams and ensuring data integrity.
Lead the design and build of enterprise-scale data platforms using cloud tools (AWS/Azure), SQL, Python, Spark, and orchestration (Airflow) to deliver reliable, analytics-ready data for BI, AI, and reporting.
Design and lead the transformation of Takealot’s data platform from batch to real-time, setting technical standards and governance for a high-scale ecommerce and logistics ecosystem.
Senior Systems Analyst reverse-engineers legacy enterprise platforms, analyzing .NET/C#, SQL Server, Java, and integrations to document systems and support modernization efforts.
Designs and implements cloud-native data architectures for an insurance-focused company using Azure services like Synapse, Databricks, and Power BI to enable analytics, automation, and regulatory compliance.
Designs and maintains AI-ready data pipelines and feature stores to power ML models and generative AI solutions, ensuring data quality, lineage, and compliance.
Design and build Google BigQuery-based data models and pipelines for enterprise analytics, transforming complex source systems into scalable, high-quality data assets.
Design and build enterprise data models on Google Cloud’s BigQuery to power analytics and reporting for a large financial services firm.
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