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Engineering Manager, Data Platform
Lead a team building and operating FloQast’s lakehouse stack (Iceberg, Spark, Kafka, Trino) while coding half the time and managing engineers the other half.
Data Engineer
Designs, builds, and maintains scalable data pipelines and integrations for US federal government clients using cloud technologies like Databricks, Spark, AWS, and Snowflake.
Senior Databricks Data Engineer — Azure Spark & Pipelines
Designs, develops, and maintains scalable data pipelines on Azure Databricks using Spark/PySpark, collaborating with data scientists and engineers to deliver clean datasets for analytics in a banking-regulated environment.
Databricks Data Engineer Senior Analyst
Design, develop, and optimize scalable data pipelines on Azure Databricks using Apache Spark/PySpark, Azure Data Factory, and Delta Lake to support advanced analytics in a banking context.
Lead Data Platform Engineer
Lead the design and build of UNSW College’s enterprise data platform using Microsoft Fabric, Azure, and Power BI to deliver trusted analytics and insights for student and academic outcomes.
Data Engineer
Builds and maintains enterprise-scale data pipelines on Microsoft Azure for Rabobank, ensuring data-driven decision-making across the bank’s agribusiness operations.
Azure Data Engineer – Scalable Data Pipelines (Hybrid Sydney)
Build scalable data pipelines using Azure services like ADF, Synapse, Databricks, and ADLS, while maintaining governance and security standards, and working with stakeholders to enable data-driven decisions.
Software Engineer II - Business Intelligence
Build and maintain ETL/ELT pipelines, data models, and dashboards to power business intelligence and reporting for an autonomous-vehicle company.
Data Engineer | AWS Spark & Airflow | Madrid, 12mo Contract
Designs and maintains scalable data pipelines using PySpark, Spark, and AWS services to ingest, transform, and load data for analytics and reporting.
Senior Databricks Data Engineer — Hybrid, Global Impact
Senior Data Engineer building data platforms using Databricks and cloud services (Azure, AWS, GCP) for clients. Requires SQL, Python, PySpark, and Big Data experience in a hybrid model.
AWS Data Engineer: Spark & Redshift Innovator
Build and maintain data pipelines using AWS, Redshift, PySpark, and ETL tools like Talend and Pentaho, with reporting in Power BI.
Senior Data Engineer: Databricks & Medallion
Senior Data Engineer designs and operates a high-volume retail pricing and business-intelligence data platform using Databricks, Delta Lake, and Medallion architecture.
Data Engineer (German) - Hybrid & Impact
Designs and builds scalable data pipelines and platforms using PySpark and distributed technologies in a hybrid setup.
Data Engineer: AWS/Azure Pipelines & PySpark Expert
Build and maintain robust data pipelines on AWS/Azure using PySpark and Python to process large volumes and support machine-learning projects.
Senior Data Engineer
Designs and builds scalable data pipelines and warehouses for a large US retail eCommerce platform, focusing on Azure Synapse, Data Factory, and Databricks to support millions of omnichannel customers.
Data Engineer
Designs and builds scalable data pipelines and analytics solutions on AWS using Python, PySpark, and modern orchestration tools.
Data Engineer
Builds and maintains data pipelines on AWS using PySpark, Python, and Airflow to enable analytics and reporting.
Senior Data Engineer — AWS Cloud & Data Pipelines
Senior Data Engineer builds and maintains cloud-based data platforms on AWS, focusing on data ingestion and processing pipelines using Spark, Python, and AWS services.