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Build a greenfield enterprise data ecosystem from scratch—designing Python ELT pipelines, leveraging Snowflake (Snowpipe, Dynamic Tables), and powering BI dashboards via Metabase to deliver actionable insights.
The Data & AI Engineer will design and optimize scalable data solutions and ETL/ELT pipelines using Snowflake, Python, and cloud platforms. The role involves leveraging generative AI tools like Claude and Microsoft Copilot to accelerate development and improve business process automation.
Data Pipeline Development & Management Design, develop, and maintain robust ETL/ELT pipelines to process large volumes of structured data Implement batch data processing solutions using Databricks Monitor data…
The Senior Data Engineer will design and maintain scalable data lakehouse architectures and ETL/ELT pipelines to support data-driven decision-making at the Housing & Development Board. The role involves cloud platform operations, infrastructure as code, and integrating AI/ML capabilities using technologies like Python, SQL, Spark, and AWS.
The Principal Data Engineer will lead a team in modernizing data infrastructure within a fintech environment. The role involves designing and maintaining complex data pipelines using Azure and Snowflake while mentoring staff and collaborating with stakeholders.
Senior Data Engineer builds and optimizes Azure-based data pipelines and models to automate workflows and support analytics for a fintech trading firm.
The Lead AI Data Engineer will design and implement scalable Azure-based data architectures and platforms to support AI, machine learning, and GenAI initiatives within a banking environment. This role involves defining data standards, governance, and integration patterns while collaborating with cross-functional teams to build the technical foundation for a new AI Lab.
The Senior Data Engineer will design, build, and optimize scalable data platforms and pipelines using the Microsoft Azure ecosystem, including Microsoft Fabric and Azure Synapse. The role focuses on developing automated data solutions, supporting AI initiatives, and ensuring data quality and performance for business intelligence.
The Senior Data Solutions Engineer designs and manages end-to-end data platforms, including ETL/ELT pipelines and Snowflake integration, to support analytics and AI initiatives. The role involves collaborating with business teams to ensure data quality, security, and production readiness.
Inception42 is seeking a Data Architect to design and build scalable data foundations for AI and agentic products. The role involves hands-on development of ELT pipelines, data modeling, and implementing robust security and governance frameworks using SQL and Python.
Builds and maintains scalable data architectures on Microsoft Fabric and Azure, designing ETL/ELT pipelines, semantic models, and governance frameworks to power BI, analytics, and AI solutions.
The Senior Data Engineer will design and maintain scalable data architectures using Microsoft Fabric and Azure, including managing data lakes and warehouses. The role involves developing ETL/ELT pipelines and collaborating with data teams on modeling and architecture.
Designs and maintains scalable data pipelines and platforms to enable analytics, AI, and generative AI solutions for a logistics company, covering ingestion, transformation, governance, and cloud deployment.
Senior Data Engineer focused on Lakehouse architectures, ETL/ELT orchestration, enterprise reporting integration, and end-to-end data migration via IBM Watsonx.data, with team mentoring responsibilities.
The Azure Data Engineer will design, develop, and maintain scalable data pipelines and analytics solutions using Azure Data Factory, Databricks, dbt, and Python. The role involves building data warehouses, creating Power BI dashboards, and ensuring data quality and performance in a hybrid work environment.
Database Engineer - NV1 Clearance Required Anywhere in Australia – Hybrid Contract until September 2027 – Likely to extend NV1 Security Clearance mandatory We are seeking an experienced Database Engineer to design,…
Designs and maintains scalable data pipelines and warehouse models to process raw data into high-value assets using PySpark, Spark, or Hadoop.
Data Engineer designing and maintaining scalable data pipelines, data warehouses, and cloud-based data platforms using SQL, Oracle PL/SQL, Python, and AWS services to support analytics and business decision-making.
Design, build and maintain AWS-based data pipelines and warehouses, developing ETL/ELT processes and data models to support analytics and business decision-making.
Design, build and maintain data pipelines and reusable datasets on a Snowflake-centric data platform supporting analytics, reporting, governance and AI use cases. Core technologies: Snowflake, SQL, Python, Azure Data Factory.
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