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Senior Data Engineer builds and operates pipelines to migrate decades of legacy banking data into Constantinople’s AI-native banking platform using Snowflake, Python, and AWS.
Designs and builds real-time data pipelines on AWS using PySpark, Airflow, and Redshift to power enterprise-scale analytics and insights for an HR-focused SaaS platform.
Design and deliver secure, scalable data and cloud solutions using Microsoft Fabric, Azure, and .NET/C#; build Lakehouse architectures, pipelines, and Power BI models while consulting with clients.
Lead the design and governance of a scalable data platform, building data lakes/warehouses and modern architectures while mentoring a growing team.
Build and optimize Denodo virtualized data models, integrating SAP ECC and enterprise systems to power finance and commercial reporting in a consultancy setting.
Build and optimize scalable data pipelines using Python, PySpark, and Databricks for batch and streaming workloads, managing Delta Lake layers and AWS S3 storage.
Build and optimize GCP and BigQuery data pipelines for analytics, ensuring cost efficiency and adherence to engineering principles while collaborating with product owners and SMEs.
Design and lead data integration across healthcare systems, building robust pipelines and governance to enable analytics and AI/ML use cases.
Build and maintain AWS-based data pipelines and analytics platforms using services like Glue, Redshift, and SageMaker to enable data-driven insights and reporting.
Design and build scalable data pipelines and analytics platforms using Azure and Microsoft Fabric for enterprise clients, focusing on data architecture, governance, and transformation.
Principal Data Engineer designs and builds scalable cloud data platforms for clients using Snowflake, AWS/Azure, and Databricks, leading teams and advising on data architecture and ETL pipelines.
Data Engineer – Snowflake Implementation (Greenfield Engagement) Flexible engagement options (contract or permanent, depending on fit) Sydney We’re looking for an experienced Data Engineer to lead a Snowflake…
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines, data warehouses, and AI/ML platforms to create reusable datasets and enable customer-centric analytics and AI solutions.
Build and optimize GCP-based data pipelines for telecom analytics, focusing on BigQuery, Dataflow, and Dataform while enforcing PII governance and cost controls.
Senior Data Engineer builds and maintains scalable data platforms in Python/SQL, designing ETL pipelines and ensuring data security for analytics and reporting at a social-services nonprofit.
Principal Data Engineer designs and builds scalable cloud data platforms using Snowflake, AWS/Azure, and Airflow/dbt, advising clients on data strategy and architecture.
Builds and optimizes data pipelines and warehouses using AWS services, Teradata, and PySpark for a telecom-focused enterprise platform.
Build a new Databricks-on-Azure lakehouse, migrate legacy pipelines, and set up CI/CD to lay the foundation for AI-driven analytics in a superannuation business.
Data Engineer | Sydney, NSW We are looking for an experienced Data Engineer (9–14 Years) to join a high-performing team delivering enterprise-scale data platforms and real-time data solutions on AWS. Must Have Skills…
Senior Data Engineer builds and owns scalable data pipelines and warehouse solutions using Snowflake, Airflow, and Python to turn raw data into trusted business assets.
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