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Builds and maintains scalable ETL/ELT pipelines and data products for machine data, CRM, and enterprise systems to power analytics and customer insights.
Build and lead a multitenant data platform in AWS and Databricks, owning ingestion, storage, and access layers for internal and external data sources using Python, PySpark, and modern data tools.
Designs ETL/ELT pipelines and migrates data warehouses to Microsoft Fabric, integrating Informatica and Azure analytics tools for clients.
Builds and optimizes SQL-based data pipelines on Google Cloud Platform, focusing on BigQuery transformations and cost-efficient data processing for analytics.
LyondellBasell Industries is looking for a Data Integration Engineer in Poznań, Poland. This role involves the development and deployment of data ingestion solutions, collaboration with software engineers, and…
Data Integration Engineer Location: Poznań, PL, 61-569 Facility: POZNAN-6731 LyondellBasell a leader in the global chemical industry creating solutions for everyday sustainable living. With a nearly 70-year legacy that…
Senior AI Data Engineer builds scalable ELT pipelines and AI-driven analytics using SQL, dbt, Snowflake, and Spark to power Zendesk’s customer-facing and internal data products.
Design and build a modern data platform on Databricks and Azure, implementing scalable ETL/ELT pipelines and integrating data from multiple sources.
Builds and maintains scalable data pipelines on Databricks and Azure, using PySpark and Delta Tables to move and transform data for analytics and AI workflows.
Design and optimize Snowflake-based data models and semantic layers to power analytics and AI use cases for a global lottery technology provider.
Builds and optimizes data models in PySpark/SQL to support scalable analytics and dashboards, collaborating with business stakeholders and engineers to turn marketing, sales and logistics data into actionable insights.
Design, build, and maintain GCP-based data pipelines (ETL/ELT) and warehouses to power analytics, ML models, and AI apps for a telecom company.
Build and maintain scalable ELT/ETL pipelines, orchestrate workflows in Airflow, and model data in Snowflake/Databricks to power analytics and AI apps, using Python, SQL, and AI coding tools.
Build and maintain cloud-based data pipelines and warehouses for global clients using SQL, Python, and Azure/AWS/GCP while learning Agile and AI fundamentals in a 3-month internship.
At ABB , we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the…
Build and maintain ETL/ELT pipelines that feed a data warehouse and internal apps for an energy-trading company, using SQL, Python, Airflow, and APIs.
Build and maintain Microsoft Fabric pipelines and data models, using PySpark and Azure tooling to move raw data through bronze, silver, and gold layers for analytics.
Design and build scalable data pipelines on GCP, implementing ETL/ELT processes and real-time streaming solutions while optimizing data warehouses and big data architectures.
Build and scale cloud data platforms for global clients using Azure, Databricks, Spark, and CI/CD pipelines, designing ETL/ELT architectures and data models.
Design and optimize Snowflake-based data pipelines for AI-driven analytics in pharma, using SQL and ETL/ELT tools to deliver reliable datasets.
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