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Data Analyst
Analyzes structured/unstructured data for the U.S. Marine Corps, building dashboards, pipelines, and visualizations to support strategic decisions and communication strategies using Python, SQL, and Microsoft Power Platform tools.
Data Engineer
Design and build scalable data pipelines using Databricks, Spark, and AWS to enable analytics and AI-driven insights for a biotech company.
Cloud Engineer
The Cloud Engineer builds and maintains scalable data solutions on Azure and AWS using Databricks, Spark, and Python. The role focuses on data ingestion, pipeline development, and supporting FinOps initiatives through cross-functional collaboration.
Senior Cloud Engineer
The Senior Cloud Engineer designs and supports scalable cloud data platforms using Azure, AWS, and Databricks. The role focuses on building ETL/ELT pipelines, API integrations, and automation to support FinOps and enterprise data initiatives.
Advanced Analytics Engineer
The Advanced Analytics Engineer will design and build scalable data pipelines and workflows to support AI and machine learning initiatives at Oliver Wyman's new Lisbon hub. The role requires expertise in Python, PySpark, and Databricks to process structured and unstructured data within a hybrid work environment.
Software Engineer(Data)
Report Developer designing, developing, and supporting reports for a stock trading system using SQL, PySpark, ETL, and BI tools like Power BI/SSRS/Tableau.
Junior Data Engineer (Azure Databricks/Changi Business Park)
A Junior Data Engineer building Azure Databricks data pipelines, implementing Delta Lake and medallion architecture, and supporting Databricks Genie deployment for a modern data platform.
Senior Data Engineer
The Senior Data Engineer will design, deploy, and manage containerized data pipelines and lakehouse architectures. The role requires expertise in SQL, Python, Kubernetes, and orchestration tools like Apache Airflow to build robust, scalable data solutions.
Azure Databricks_Technical Architect
Technical Architect designing and guiding Azure Databricks data engineering solutions for enterprise consulting clients, leading architecture assessments, roadmaps, and project delivery using Databricks, Python, PySpark, and SQL.
Principal Data Scientist
Lead end-to-end deep learning and graph neural network solutions on Databricks Lakehouse, driving AI strategy and mentoring teams at a major grocery retailer.
Lead Data Engineer
Lead a team to design and build enterprise-scale data platforms using Databricks and Microsoft Fabric, enabling analytics, AI, and government decision-making.
Lead Analytics Engineer
Lead Analytics Engineer responsible for driving monetization metrics and data pipelines, partnering with data scientists and engineering teams, using SQL, Airflow, Tableau, and other data engineering tools to build and maintain analytics solutions.
Data Scientist Specialist - Gestão de Portfólio Crédito Varejo
As Data Scientist Specialist in Retail Credit Portfolio Management, you'll analyze portfolio metrics (inadimplência, recuperação), develop financial projections, build indicators, and support strategic decisions using SQL, Python/PySpark.
Data Science Manager - Gestão de Portfólio Crédito Varejo
Lead a team that builds and monitors credit-risk models for retail portfolios, translating data into executive dashboards and early-warning strategies to reduce delinquency and optimize profitability.
Lead Data Engineer
Lead a team building enterprise-scale data pipelines and lakehouse architectures on Databricks or Microsoft Fabric to power analytics and AI for a federal government department.
Ansøgning til "Senior Data Engineer"
Designs, develops, and maintains scalable data pipelines and models on a Databricks-based platform to support AI/ML and business analytics for a government-owned infrastructure company.
Senior Python Delivery Lead — Gen AI & Data Engineering
Leads a 30+ member Python/PySpark data engineering team for a Trade Surveillance project using Q KDB, performing code reviews, coordinating with Bank stakeholders, executing delivery plans, managing RAID, and leveraging Gen AI to enhance productivity and quality.