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About the team We are a focused engineering team of 5 to 9 people at a multi-product tech SaaS company. We work across personalization, recommendation, fraud detection, and some GenAI, through real-time,…
Build and maintain data pipelines and models that power an AI-as-a-Service platform for Australia’s top financial institutions, using Python, SQL, and cloud tools.
Design and build scalable, cloud-native data pipelines and architectures using AWS, GCP, Azure, Snowflake, or Databricks to power real-time and batch analytics for enterprise AI solutions.
Analyze retail performance data to uncover trends and drivers, then collaborate with teams to turn insights into actionable business decisions.
Build and validate cloud-based data pipelines for a Health IT platform using SQL, Python, and PySpark in Azure Synapse to process healthcare datasets end-to-end.
Build and maintain scalable data pipelines and cloud-based platforms to power analytics, personalization, and ML across FOX’s digital media ecosystem using Python, PySpark, Kafka, and AWS.
Lead a team building and optimizing secure, scalable data pipelines and platforms using Python, PySpark, SQL, and Airflow to support analytics and reporting across JPMorgan Chase’s corporate functions.
Delivery of complex data engineering projects across industries Leading small delivery teams Management of customer relationships alone or with a Project Manager Supporting pre-sales process Mentoring more junior…
Design and deliver AI-driven analytics and generative solutions for investment banking using Python, PySpark, Azure ML, and modern AI frameworks like LangChain and RAG.
Designs and builds generative AI and ML systems for investment banking using Python, PySpark, Azure ML, and frameworks like LangChain and RAG.
Designs and implements Databricks-based lakehouse architectures for healthcare data, using PySpark, Delta Lake, and cloud platforms like Azure/AWS/GCP.
Designs and builds enterprise-grade business intelligence systems using Oracle EBS, Tableau, Power BI, and SAP BusinessObjects to enable data-driven decisions.
Data analyst building recommendation logic for Sber’s B2C ecosystem using SQL, Scala/Spark, and Hadoop to automate personalized offers for clients.
Builds and scales ML services, pipelines, and AI agents to extract insights from customer interactions across banking and ecosystem surfaces using Python, FastAPI, and ML/LLM stacks.
Senior ML Engineer builds and improves ML models for banking products, using Python, LLM prompt engineering, and data pipelines to enhance customer experience and reduce churn.
AESYS è alla ricerca di un Data Engineer esperto con forte competenza in Azure e tecnologie di data engineering. La risorsa si occuperà della progettazione e implementazione di pipeline ETL/ELT su Azure, utilizzando…
Builds and maintains secure data pipelines using Python, PySpark, and AWS services like Lambda, Glue, and DynamoDB for a government-focused client.
Build and validate cloud-based data pipelines for a Health IT platform using SQL, Python, and PySpark in Azure Synapse to process healthcare data end-to-end.
Performing tasks related to the position. 5+ years of experience as a data engineer or similar role with exposure to cloud-based data platforms and modern data architectures Hands-on experience building and managing…
Leads a team of data engineers to build and scale large-scale data pipelines and AI-ready datasets for market research, using tools like Databricks, Airflow, SQL, and PySpark.
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