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Software Engineer (Data Governance)
Design and build data governance frameworks and executive reporting solutions at Apple, ensuring data integrity, privacy, and security across the company using SQL, Spark, Python, and visualization tools.
Data Engineering Lead – English Speaker – Office Based
Lead a team of data engineers to build and optimize large-scale data pipelines and cloud-based platforms using Python, Spark, and Databricks for analytics and ML workloads.
Data Engineering Lead
Lead a team building and optimizing large-scale data pipelines and cloud-based platforms for analytics and AI, using Python, Spark, Databricks, and cloud-native tools.
Senior Data Scientist, Global Data & Analytics
Build and deploy ML models for customer and marketing analytics to drive retention and growth, translating insights for cross-functional teams using SQL, Python, and cloud platforms.
Senior Data Engineer
Build and optimize scalable data pipelines on Databricks and Azure to power reporting, analytics, and AI across Primark’s retail business, migrating from Teradata to a modern lakehouse architecture.
Data Engineer
Build and maintain scalable data pipelines and cloud-based analytics platforms using Azure, PySpark, and Power BI to power MetLife’s global insurance and financial services.
Senior Manager of Data Engineering
Lead data engineering teams to build and scale enterprise data pipelines on JPMorgan’s Palmos platform, enabling standardized data onboarding and curated data products for analytics and AI/ML use cases.
Data Engineer
Build and maintain scalable data pipelines on Azure using Databricks, PySpark, and dbt to support analytics and AI workloads.
Data Engineer
Build and maintain scalable data pipelines on Databricks and Azure to power reporting, analytics, and AI at a large retail company.
Lead Software Engineer - AWS
Lead a team building scalable data pipelines and warehousing solutions on AWS for HR analytics, using EMR, Glue, Lambda, Kafka, and PySpark while integrating AI-assisted tools.
Software Engineer III (Databricks)
Build and maintain scalable data pipelines and warehousing solutions using Databricks, AWS, and Spark to integrate and analyze HR and financial data for JPMorgan’s global platforms.
Lead Data Engineer - End-to-End Data Platform & LLMs
Design and build an end-to-end data platform that ingests, processes, and serves data for reporting and analytics using Python, PySpark, Airflow, and AWS, with exposure to LLMs.
Data Scientist
Build and fine-tune ML models (regression, forecasting, classification) and LLM applications using Python, Databricks, and Azure AI Foundry; drive insights with PySpark/SQL and champion MLOps with MLflow.
Databricks Data Engineer: ETL, Delta Lake & Data Pipelines
Builds and maintains scalable ETL/ELT pipelines on Databricks using Delta Lake, Auto Loader, and PySpark to move and validate data for analytics and BI tools.
Lead Data&AI Engineer - Databricks
Lead the design and deployment of enterprise-scale data pipelines and AI solutions on Databricks, building Lakehouse architectures and automating agentic AI workflows for clients.
Remote Data Engineer: PySpark, Databricks & SaaS Pipelines
Designs and builds scalable data pipelines on Azure and AWS using Python, PySpark, and Databricks for a data-solutions SaaS provider.
Data Engineer — PySpark, ADF & ETL Specialist
Build and maintain ETL/ELT pipelines using PySpark and Azure Data Factory to process large-scale data operations.
Lead Data Engineer - Databricks
Lead a team to design and deploy Databricks-based data pipelines and Lakehouse architectures, using PySpark/SQL and cloud platforms to build AI-ready data platforms for enterprise clients.
Data Engineer-NSW
Build and maintain AWS-based data pipelines and real-time streaming solutions using Python, PySpark, Airflow, and Kinesis for a HR-focused product company.
AWS Cloud Data Engineer - Pipelines & PySpark
Builds and maintains scalable AWS data pipelines with Python, PySpark, Glue, and Airflow for a major bank in Sydney.