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Build and maintain enterprise data platforms, pipelines, and BI solutions to turn spreadsheets and APIs into reliable, scalable data infrastructure for business stakeholders.
Maintains and optimizes enterprise data platforms (MSSQL, Microsoft Fabric) and data pipelines, ensuring reliability and performance while supporting migrations to modern cloud solutions.
Build and operate large-scale enterprise data pipelines using Spark, Kafka, and lakehouse architectures, migrating legacy systems and ensuring data quality in a highly governed environment.
Build and maintain scalable data pipelines using Azure Databricks, DBT, Snowflake, and Python to migrate and process enterprise datasets.
Build and scale Trino/Iceberg-based data pipelines for Wise’s finance team, transforming raw financial events into audit-ready reports using Medallion Architecture and Kafka.
Senior Data Engineer builds and maintains a modern Azure Databricks lakehouse for a global energy and commodities trading firm, using PySpark, Snowflake, and Power BI to support trading operations and analytics.
Build and deploy production-grade AI systems, including LLM and RAG applications, on Azure and Databricks for a professional services firm.
Lead hands-on data engineering for clients in retail, media, and finance, building cloud pipelines and models on Azure, Databricks, and Fabric to power AI solutions and analytics.
Senior Systems Engineer - Data Location: Auckland/Wellington or Palmerston North Campus| Massey University Salary Band: $83,818 - $117,788 based on skills and experience Shape the future of data at Massey University -…
Designs and maintains scalable data platforms (data warehouse, Microsoft Fabric, Lakehouse) to support analytics and future AI use cases at a university.
Lead a team to design and build analytics solutions in Microsoft Fabric and Power BI, modeling data, writing SQL/Python, and delivering governed metrics and reports for enterprise clients.
Senior Data Engineer designs and builds secure, scalable data platforms using Microsoft Fabric and Azure for enterprise clients, enabling analytics and AI workloads while mentoring teams.
Builds and delivers Microsoft Fabric-based data platforms for NZ clients, designing lakehouses, ETL pipelines, and governance using SQL, Python, and Azure services.
Designs and builds healthcare data platforms integrating LIS, EDIP, and FHIR APIs to ensure interoperability and scalability for clinical software across multiple hospitals.
Leads a team to build and maintain Prudential Malaysia’s data lake and enterprise data model on Azure, enabling analytics, AI, and regulatory reporting while ensuring governance and compliance.
Builds and maintains scalable data infrastructure, including lakes, pipelines, and reporting systems, to support APAC digital business operations.
Build and productionise Databricks lakehouse data products for a large financial services client, using Spark, Delta Lake, and Azure/Google Cloud to deliver governed datasets and self-service analytics.
Build and maintain secure, governed ELT pipelines and data models on Azure and Databricks to power analytics and AI across a UK-based professional services group, ensuring high-quality, reconciled data for regulated entities.
Designs and maintains a cloud-native data lakehouse on BigQuery using Python, automates infrastructure with Terraform, and builds CI/CD pipelines for enterprise-scale data processing.
Build and maintain scalable data pipelines on AWS and Databricks, using Python, PySpark, and modern ETL/ELT frameworks to deliver reliable data across the organization.
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