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Lead the design and evolution of an Azure Databricks lakehouse, expanding Delta Lake and Unity Catalog while mentoring a small team in a hybrid Auckland role.
The Senior Data Engineer will build and optimize large-scale data processing engines using Spark, PySpark, and Python within a cloud-based lakehouse environment. The role focuses on modernizing legacy SQL ETL logic into modular Python libraries and implementing medallion architecture.
The Data Engineering Manager leads a team of engineers to design and deliver scalable data platforms and pipelines. The role involves technical leadership, stakeholder management, and the implementation of modern data practices using cloud technologies, SQL, and Python.
The Data Engineer will design, develop, and maintain scalable ETL/ELT pipelines and data infrastructure using Microsoft SQL Server and Azure technologies. This role involves collaborating with BI and analytics teams to ensure high-quality data delivery for business reporting and processes.
Build and run a modern data-tech stack on Kubernetes, including a Lakehouse (Stackable) and event platform (Kafka), while automating deployments with GitOps and Ansible/Terraform.
Senior Data Engineer builds and scales real-time streaming pipelines and ML data platforms handling 100,000+ predictions per second for a global adtech platform.
Builds and optimizes data pipelines, lakehouse structures, and CI/CD automation to improve platform performance and scalability while enforcing engineering best practices.
Senior Database & Analytics Engineer building trusted, governed, analytics-ready data across the full data lifecycle using SQL, data modelling, and ETL/ELT within an AI, Data & Analytics team.
The Data Engineer will design, build, and maintain scalable data pipelines and analytical models using Microsoft Fabric to support business reporting and decision-making. The role involves collaborating with stakeholders to ensure high-quality, governed data is available for Power BI and advanced analytics.
Designs and maintains data pipelines on Microsoft Fabric for Power BI reporting, ensuring high-quality, governed data for analytics. Works with analysts to enhance data capabilities in a collaborative team environment.
The Senior Data Engineer will build and maintain data ingestion pipelines, lakehouse structures, and CI/CD workflows using AWS and AI-focused technologies. The role involves establishing data engineering standards and implementing data quality and security controls within a hybrid work environment.
Lead the vision, strategy, and engineering of an autonomous Agentic Data Platform across Azure, AWS, GCP, Databricks, and Snowflake for Financial Services clients, including governance, DevSecOps, and AI integration.
Build and maintain Databricks pipelines that ingest and transform high-volume external data into clean, structured inputs for analytics and AI models, primarily supporting stakeholder engagement in the energy and utility sectors.
Job Description Posted Tuesday, July 21, 2026 at 4:00 AM At IBM Consulting FutureNow , we unite human expertise and artificial intelligence to deliver client results with certainty, speed, and value. Fueled by LGS,…
Data Engineer building scalable data pipelines and lakehouse architectures using Microsoft Fabric and Spark to support cancer initiatives at the Canadian Cancer Society.
Lead Snowflake-based data lakehouse and pipeline development for RBC Insurance, designing scalable architectures, optimizing performance, and collaborating with stakeholders to drive data-driven business growth.
Build and maintain a Fabric Lakehouse and Power BI semantic model for sales, stock, returns, and customer data, using Claude Code and MCP to accelerate analytics engineering.
Analytics Engineer building data lakes, dashboards, and live data interfaces on Microsoft Fabric Lakehouse and Power BI for a clothing retailer, using Claude Code and MCP tooling to serve trading, retail, and finance teams.
The Analytics Engineer will build and maintain trusted data models and metrics within a Databricks Lakehouse to support business decision-making. The role involves performing exploratory analysis using SQL and Python and collaborating with stakeholders to transition from ad-hoc reporting to scalable data products.
Develop web app solutions for catastrophe exposure analysis and integrate AI technologies into the data lake at an insurance firm, using Python (FastAPI/Flask/Django), React, TypeScript, and Node.js.
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