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Principal Data Engineer
Principal Data Engineer builds and leads a scalable data platform at an e-commerce photo-products company, focusing on trustable, decentralized data adoption and AI-driven customer experiences.
Senior Data Scientist / Machine Learning Engineer
Build and deploy classical ML models (regression, classification, clustering) in Python to solve manufacturing, asset-downtime, churn, and geospatial problems for private-equity clients.
Data Engineer - Data Infrastructure
Build and optimize multi-cloud data infrastructure for a digital bank, enabling analysts and ML teams with efficient pipelines and tooling across AWS and GCP.
Senior Data Engineer
Senior Data Engineer builds scalable Azure-based data pipelines and Power BI semantic models for a UK plant-hire firm, focusing on telematics, ERP, and IoT data to improve operations and reporting.
Senior Data Engineering Manager
Lead a config-driven data platform that ingests, transforms, and delivers paid-media data from 26+ ad platforms into BigQuery using dbt, Python, and GCP.
Staff Data Engineer
Build and maintain scalable data pipelines and curated datasets in Snowflake using dbt, Airflow, and Terraform to power CRM analytics and insights for Zendesk’s support operations.
Staff Data Engineer
Lead the architecture and long-term vision for Beamery’s data platform, defining scalable solutions for AI-driven workforce analytics and ensuring trustworthy, high-performance data infrastructure for internal and external consumers.
Data Engineer, Fraud
Build and maintain scalable data pipelines and storage systems to power fraud detection, analytics, and reporting using Python, SQL, and orchestration tools like Airflow.
Senior Data Engineer
Design and build a scalable data infrastructure for a global PE fund using Snowflake, dbt, and Azure Data Factory to support analytics and AI initiatives across investment teams.
Senior Data Engineer: Data Mesh & AI-Driven Platform
Design and build scalable data infrastructure using Snowflake, dbt, and Azure Data Factory to streamline operations and improve data access for a private equity firm.
Staff Data Engineer
Build and maintain scalable data pipelines and warehouses for a fast-growing InsurTech, using cloud platforms and ETL tools to deliver clean, reliable data for analytics and business decisions.
Head of Data Engineering & Governance
Lead data engineering, governance, and reporting for a global ecommerce group, shaping how THG structures, governs, and uses data across its Beauty and Nutrition divisions using GCP/BigQuery and AI-assisted pipelines.
Consultant - Data Engineer (Full Stack Data & AI)
Build and ship Snowflake-based data pipelines, analytics models, and light ML solutions for clients using AI coding assistants and modern BI tools.
Full-Stack Data Engineer
Builds the data backbone for an AI-driven public-safety platform, integrating legacy systems, cloud services, and real customer data with ETL pipelines and infrastructure-as-code.
Data Engineer
Build and maintain cloud-native data pipelines in AWS using Python, DBT, and Spark to feed analytics and BI tools, enabling HomeServe Finance’s green lending platform.
Data Engineering Lead
Lead a team of six engineers to build and scale domain datasets (Customer, Commercial, Operations) on BigQuery/GCP, modernizing pipelines and enabling AI-driven analytics for THG’s global ecommerce brands.
Data Engineering Architect
Design and lead enterprise-scale data platforms, pipelines, and AI-ready architectures using cloud, Spark, Kafka, and modern data warehouses to transform raw data into actionable insights.
Senior Software Engineer - Data Engineering
Build and maintain scalable data pipelines in AWS using Databricks, Snowflake, Airflow, dbt, and Python to power Moody’s AI-driven content platform.
Senior Data Engineer - Scalable Pipelines & AI
Design and maintain scalable data pipelines for a digital content platform using Apache Airflow, dbt, Python, and cloud tools, ensuring data quality for AI workloads.
Data Engineer: Build Scalable AI-Ready Data Pipelines
Build and maintain scalable data pipelines using Databricks, Snowflake, Airflow, dbt, and Python on AWS to power Moody’s AI-ready digital content platform.