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The Senior Data Engineer will design and maintain scalable data platforms and pipelines using Microsoft Fabric, Databricks, and Snowflake. The role involves building data models, optimizing ETL/ELT processes, and preparing datasets for analytics and GenAI applications.
Data Engineer at Allianz Austria designing data architectures and building ETL/ELT pipelines using PySpark, Databricks, and Azure to support insurance processes.
Data Analyst improves e-commerce search visibility and personalization by analyzing SEO/GEO performance, building tracking foundations, and partnering with product teams to optimize external discoverability for Constructor.io's clients.
As an Azure Data Engineer, you will build scalable data solutions and pipelines using Python, Spark, DBT, and SQL within the Azure ecosystem. You will work on diverse client projects across various industries, utilizing platforms like Snowflake and Databricks while contributing to AI-driven data initiatives.
This role involves building scalable data solutions and pipelines using Azure, Python, Spark, Snowflake, and Databricks. You will work on diverse client projects across sectors like finance and retail while contributing to internal data platforms and AI initiatives.
The Senior Data Engineer will design, develop, and maintain scalable cloud-based data pipelines and products using Azure Databricks, PySpark, Python, and SQL. Working within an Agile DevOps team, the role focuses on building robust ETL/ELT processes and optimizing data platform architecture.
Builds scalable cloud data solutions in Azure using Python, PySpark, DBT, and Snowflake for clients in government, energy, retail, and finance.
The Azure Data Engineer will build and manage scalable data solutions and pipelines using Python, Spark, Snowflake, and Azure technologies. The role involves working on diverse client projects across sectors like finance and retail while contributing to internal data platforms and AI initiatives.
As an Azure Data Engineer, you will build scalable data solutions and pipelines using Python, Spark, Snowflake, and Microsoft Fabric. You will work on diverse projects across sectors like government and finance while contributing to the company's data platform and AI initiatives.
Cloud Analytics Software Engineer working on ACQA, a cloud-native analytics and risk platform, using Python, Java/Scala, and PySpark to build risk and pricing models for investment banking.
Data scientist in Sberbank’s retail risk team validates ML models (tabular and NLP) to prevent financial and reputational losses, automates validation and monitoring, and aligns models with business goals using Python, PySpark, and agent-based tools.
Builds predictive and prescriptive models (e.g., churn prediction, player lifetime value) using ML and statistical techniques to optimize casino gaming strategies, fraud detection, and player engagement. Works with behavioral data to drive promotions and ensure compliance.
Data Engineer building and maintaining batch/streaming data pipelines, Delta Lake warehouse layers, and data quality systems using Python, PySpark, SQL, and Databricks for an international development NGO in Uganda.
Build and maintain production-ready data pipelines using Microsoft Fabric, Python, and PySpark to support AI-driven analytics and solutions.
Leads data integration and AI engineering pipelines for NSW Department of Education, designing scalable solutions in Azure Synapse and Microsoft Fabric to integrate source systems into the department’s full-stack data services.
Build and operate a new enterprise Data Platform on Microsoft Fabric and Azure, designing data integration pipelines, Lakehouse architectures, and analytics-ready data assets for a UK building society.
Data Engineer designing and maintaining ETL/ELT pipelines and cloud data infrastructure for VA healthcare analytics, working with SQL, Spark SQL, and Azure Databricks in a federal contracting environment.
The Data Platform Lead will architect and build a unified, greenfield data platform on AWS to integrate agricultural machinery and field data. This role involves hands-on engineering, team leadership, and managing transactional geospatial timeseries data to support scaling operations in New Zealand and Australia.
Designs and builds scalable Azure data solutions, transforming raw data into insights using Databricks, Fabric, Snowflake, and AI tools like PySpark/Python. Focuses on pipelines, data lakehouses, and AI-ready platforms for clients in healthcare, government, finance, and education.
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