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Build and maintain cloud-native Python backend services and RESTful APIs on AWS for a fund management portfolio system, owning delivery end-to-end with minimal oversight.
Design and maintain scalable data platforms for real-time analytics and enterprise reporting in Saudi Aramco’s Global Optimizer ecosystem.
Location Dublin - IE Employment Type Full time Location Type On-site Department Data Center Operations (DIG) Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine…
Build and maintain scalable data pipelines and cloud-based analytics platforms using Snowflake, Databricks, and Python, ensuring reliability, performance, and governance.
Build and maintain scalable ETL pipelines and data models in Python/SQL, ensuring high-quality data for analytics and machine-learning use cases in ad-tech and travel marketing.
Lead a team to design and build scalable AWS-based data pipelines, warehouses, and real-time analytics using Python, Snowflake, and orchestration tools.
Build and scale a cloud-native data platform in AWS (S3, Iceberg, Spark, Airflow) to process 100M+ objects with sub-500ms latency APIs for a new UK consumer credit bureau.
Principal Data Engineer designs and optimizes secure data pipelines, warehouses, and real-time systems for a biotech company, using Python, Spark, Kafka, and cloud platforms.
Principal Data Engineer designs and optimizes secure, scalable data pipelines (ETL/ELT) and warehouses for real-time/batch processing, ensuring data quality and compliance in a biotech environment.
Build and maintain scalable ELT pipelines and SQL-based data models in Snowflake using dbt to power Zendesk’s analytics and AI-enabled CX products.
Build and maintain data pipelines using dbt, Snowflake, Airflow, and Python to transform raw data into clean, analytics-ready datasets for BI and reporting.
Builds and maintains high-volume data pipelines and backend services at scale using Java, cloud infrastructure, and distributed processing tools like Apache Beam, Spark, and Kafka.
Build and maintain data pipelines, models, and dashboards to power decision-making at an online K-12 school, integrating CRM, ads, and payment systems with SQL, Python, and Power BI.
Build and maintain scalable data pipelines and cloud-based data warehouses to feed analytics and ML systems using Python, SQL, and tools like Airflow and Snowflake.
Designs and implements cloud/hybrid data pipelines, advanced analytics, and AI-driven solutions (e.g., ML models, dashboards) to transform raw data into actionable insights for enterprise clients. Core tech: Azure/AWS/GCP, Python/SQL, Spark, Kafka, and Azure OpenAI.
Build and optimize high-performance Spark data pipelines in Python, migrating legacy SQL ETL to Delta Lake and Airflow orchestration while ensuring privacy-preserving data collaboration.
Designs and builds GCP-based ETL/ELT pipelines, BigQuery data warehouses, and real-time data flows using Dataflow and Airflow.
Designs and maintains scalable GCP data pipelines and warehouses using BigQuery, Dataflow, and Airflow to enable analytics and ML workflows.
Senior Data Engineer builds and maintains scalable pipelines for telecom CDRs and real-time data using Kafka, Spark, and Flink, ensuring clean, query-ready datasets for analytics and ML.
Design and scale robust data pipelines and infrastructure for AI-driven infrastructure projects, using cloud-native tools like Spark, Kafka, and Airflow to process IoT and telemetry data.
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