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Builds and leads data pipelines for financial services clients using Databricks/Snowflake, mentoring engineers and translating business needs into trusted data solutions with a focus on regulated environments.
Senior Data Engineer builds and maintains scalable data pipelines and platform components in Azure using Python/Scala, Spark, and Databricks to power ASOS’s ecommerce analytics and machine learning.
Data Scientist II builds credit-risk models and dashboards for a major Brazilian bank, analyzing delinquency, recovery, and portfolio performance using Python, SQL, and PySpark.
Design and deliver scalable data solutions for enterprise clients using Python, SQL, and Databricks to optimize sales compensation and performance analytics.
Build governed data models and semantic assets on Databricks to enable self-service analytics for business domains like finance, marketing, and HR.
Build and productionize AI-powered workflows and ML models for IT management and cybersecurity products, integrating classification, recommendations, and automation into Kaseya’s platform.
Builds and deploys data models, ML pipelines, and AI-driven analytics to extract insights from complex datasets, using SQL, Python, and cloud platforms like AWS/GCP. Bridges technical and business teams by translating data into actionable strategies.
Principal Architect designs and leads Azure-based data platforms and modernization programs, guiding teams to build scalable, AI-enabled solutions while mentoring architects and promoting engineering best practices.
Analyze marketing data for a travel metasearch engine, build dashboards, run A/B tests, and maintain data pipelines using SQL, Python, and BI tools.
Design and build secure, governed AWS data lakes and pipelines for a global investment firm, using Python, PySpark, Athena, Iceberg, and Terraform.
A junior data engineer working on data management, AI, and analytics tasks, including identifying datasets, onboarding data into the enterprise data lake, transforming data, creating reporting models, and collaborating with teams to implement business logic and manage use cases.
Builds and maintains data pipelines using Databricks, focusing on ETL/ELT processes, data quality, and cloud-based data processing with Delta Lake, PySpark, and Unity Catalog.
Build and optimize cloud data pipelines using Azure/AWS and BI tools, then present insights to consulting teams across industries.
Build and maintain cloud data pipelines and BI reports for EY’s global consulting clients using Azure, Databricks, and BI tools.
Manulife Financial Corporation seeks a Data Engineer to design, develop, and operate scalable Azure-based data platforms. You will build batch and real-time pipelines, develop ETL/ELT processes, and support data…
Builds and maintains scalable data pipelines to process raw data into actionable insights, collaborating with data scientists and engineers. Core techs: Python, SQL, ETL/ELT, and database architectures.
The Senior Data Engineer will design and maintain robust data pipelines and ETL processes using Azure Synapse Analytics and Databricks. They will collaborate with cross-functional teams to build scalable data infrastructure and ensure high data quality across the organization.
A data solutions firm based in City of Melbourne is seeking a skilled data engineer to design and implement scalable data pipelines across Azure and AWS environments. The ideal candidate will have extensive experience…
Designs, builds, and maintains cloud-based data pipelines and infrastructure for a FinTech wealth management platform, focusing on Airflow, Python/SQL, and Azure/Kubernetes. Ensures scalability, reliability, and operational efficiency for financial data workflows.
Builds and maintains scalable data pipelines for ingestion, transformation, and orchestration using Spark, Kafka, Airflow, and Informatica, deploying via CI/CD on containerized infrastructure.
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