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Designs and builds scalable cloud data platforms using AWS, Snowflake, PySpark, and SQL, focusing on ETL/ELT pipelines and data warehousing.
Build a centralized data platform using Python, PySpark, and AWS services to store and process event data, enabling large-scale marketing campaigns.
Designs and builds scalable data pipelines using PySpark and SQL on Microsoft Azure Fabric, Databricks, and Synapse to enable data-driven insights.
Staff Data Engineer modernizes enterprise-scale data pipelines using PySpark, AWS Glue, and Airflow, while setting engineering standards and coaching teams on cloud-native architectures.
Design and build scalable data pipelines using Microsoft Fabric, Azure Databricks, and PySpark to transform and integrate enterprise datasets for analytics and insights.
Build and optimize cloud-native data pipelines using Microsoft Fabric, Azure Databricks, and PySpark to deliver scalable data solutions for enterprise clients.
Build and maintain scalable ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory, and Python to transform enterprise data into clean, analytics-ready datasets.
Build and maintain cloud data pipelines on Azure and Databricks using Python, PySpark and SQL to power analytics and decision-making for a London insurer.
Lead modernization of large-scale data pipelines using PySpark, Python, AWS Glue, Spark, and Airflow in a regulated environment.
Designs and builds scalable data pipelines using Microsoft Fabric, Azure Databricks, and Synapse to transform datasets and enable analytics.
Build and maintain scalable data pipelines and models in Databricks and Azure to feed an investment-management firm’s front-office analytics and operations.
Staff Data Engineer modernizing large-scale cloud data pipelines using PySpark, AWS Glue, and AI-assisted tools to set engineering standards and drive scalable data solutions.
Lead a team to design and build geospatial data pipelines and cloud infrastructure on AWS, using QGIS, FME, and PySpark to power a major UK government digital transformation project.
Build and maintain data pipelines for F1 car and simulator data, using Python, SQL, and DevOps tools to optimize race performance and support engineering teams.
Build and maintain scalable data pipelines and reports using Microsoft Fabric, Azure Synapse, and Power BI to turn raw data into actionable insights for clients.
Architect and lead Faire’s ML platform, setting standards for MLOps, feature management, and scalable ML workflows using Databricks, Spark, and MLflow to empower data scientists and retailers.
Design and harden enterprise-scale Databricks data platforms for clients, building guardrails and automation so teams can safely build on the platform using PySpark, Structured Streaming, and AWS-native patterns.
As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your day-to-day activities will include creating data pipelines,…
At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence,…
Build and maintain production ML models for a banking-scale project using Python and PySpark, then monitor and retrain them in a collaborative team.
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