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Overview Senior Software Engineer - Java & Data Platforms. Are you a Software Engineer who thrives on solving complex data challenges? We’re looking for a Senior Engineer to join a high-performing technology team…
Designs and maintains ETL/ELT pipelines and data warehouses using SSIS, Snowflake, and Microsoft Fabric, focusing on SQL performance and data quality governance.
Designs and implements enterprise-scale data architecture for a large transport business, ensuring scalable, secure BI and analytics across multiple countries using AWS, Databricks, and Snowflake.
Build and maintain scalable data pipelines and warehouses using SQL, Python, Snowflake, and ETL/ELT tools for finance-focused clients.
Build and own TradingView’s data transformation layer using dbt, SQL, and data quality tools to deliver clean, canonical data for 100M+ users and fintech integrations.
Designs and maintains scalable GCP data pipelines and warehouses (BigQuery, Dataflow) to feed analytics and ML, using SQL, Python, Airflow, and Kafka.
Designs, builds, and maintains Azure-based data pipelines and lakehouse architectures using Databricks, Synapse, and Data Factory to deliver clean, reliable datasets for analytics and AI.
Build and own scalable data pipelines and analytics infrastructure for a global crypto exchange, using SQL, Python, GCP/BigQuery, and dbt to deliver clean, reliable datasets for business insights.
Build and optimize PySpark-based ETL pipelines on Databricks, refactoring legacy code and ensuring scalable, high-quality data flows for enterprise clients.
Designs and maintains scalable data pipelines and warehouses to power analytics and ML, using SQL, Python/Java, and tools like Spark and Presto.
Build and optimize data pipelines using PySpark and Databricks to process large-scale datasets, ensuring performance and reliability for analytics and AI workloads.
Build and optimize scalable data pipelines for AI model training, focusing on multimodal datasets and closed-loop evaluation systems to improve large language and multimodal models.
Build and maintain scalable data infrastructure and AI-powered analytics platforms for a media company, designing data lakes, pipelines, and customer data products to drive data-driven decisions.
Senior Data Engineer builds and optimizes cloud data pipelines (PySpark, Delta Lake, Azure Synapse) to modernize legacy financial analytics infrastructure and improve reporting reliability.
Build and maintain cloud-native data pipelines on GCP, enabling analytics and AI use cases with scalable ETL/ELT workflows and data models.
Orange Business is here! About us Join us at Orange Business!We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic…
Manger Data Engineer Department: Data & AnalyticsReports To: Director, Data EngineeringLocation: Remote (U.S.) Position Summary Penn Foster Group is seeking an experienced Lead Data Engineer to help shape the…
Hello. We’re Teya. Teya was founded on a simple belief: local businesses deserve better. They are the cafés, restaurants, salons, shops and entrepreneurs that bring character to our high streets, create jobs and keep…
Senior Data Engineer builds and maintains scalable GCP-based data pipelines and analytics datasets, ensuring trusted data for business decisions using BigQuery, Dataflow, and dbt.
Designs and implements cloud-based data platforms for an insurance-focused company using Azure Synapse, Cosmos DB, and Power BI to support analytics, governance, and regulatory compliance.
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