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Design and build modern data pipelines and architectures using Azure Fabric for a digital transformation consultancy.
Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems for a fintech-focused company.
Design and build scalable payment data models and cloud-native ELT pipelines for a fintech platform handling cards, ACH, wallets, and cash payments.
Build and maintain ETL/ELT pipelines, model data warehouses/lakes, and advise clients on data strategy using Python, DBT, and cloud platforms like Snowflake.
Build and maintain data pipelines on Microsoft Azure and Fabric, using PySpark, Python, and SQL to move and transform customer data for analytics and BI solutions.
Build secure, scalable data pipelines and platforms for intelligence workflows, integrating classified sources and enabling analytics/AI in regulated environments.
Build and optimise Azure data pipelines (ADF, Databricks), migrate data into Azure Data Lake, and ensure data quality and governance in a global organisation.
Builds and optimizes data pipelines for regulatory reporting in banks using Python, ETL tools, and big-data tech like Spark and Kafka.
Design and maintain CI/CD, IaC, and MLOps pipelines on AWS/Azure/GCP, focusing on Kubernetes, observability, and AI model deployments while enforcing DevSecOps practices.
Design and build cloud-based data pipelines and integrations to feed a Knowledge Graph platform using Microsoft Fabric or equivalent, with C#/.NET or Python and PySpark.
OUR CLIENT Credit Union SA is a customer-owned bank with a proud history of putting people and community first. For more than 60 years, they have delivered a fairer, smarter and more human alternative to traditional…
Build and deploy AI solutions for finance teams using OneStream’s platform, creating reusable demos and best practices to scale AI across customer implementations.
Build and automate data pipelines, migrate legacy systems to modern platforms, and ensure data accuracy for a fintech lender using SQL, Python, and cloud tools.
Build and lead Humand’s data platform, integrating HR tools like HubSpot and Stripe into a centralized warehouse and enabling BI reporting for customers.
Design and maintain Azure-based security data pipelines and analytics platforms to centralize visibility across EY’s cloud and on-prem environments, using Data Factory, Databricks, and SQL.
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and AI-enabled solutions using Snowflake, Python, and Azure, delivering analytics and ML workflows for enterprise clients.
Design and maintain Azure-based security data pipelines and analytics platforms to centralize visibility across EY’s multi-cloud and on-premises environments using Azure Data Factory, Databricks, and SQL.
Blendis a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles…
Build and maintain ETL/ELT pipelines in Python and SQL on AWS, optimizing cloud data lakes/lakehouses for performance and cost while collaborating with AI teams to productionize ML prototypes.
Senior Data Engineer builds and maintains scalable ELT pipelines on Snowflake, AWS, and Airflow for a client, ensuring data quality and governance while advising on best practices.
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