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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
Build and maintain scalable data pipelines and ETL processes in Python and SQL, using Snowflake, Airflow, and Kafka to deliver high-quality commodity-market data for analytics and AI-driven insights.
Cloud Data Engineer
Designs and maintains scalable AWS-based data pipelines using SQL, Spark, Kafka, and Python to process large datasets and deliver analytics for business insights.
Data Engineer
Senior Data Engineer builds scalable ETL/ELT pipelines and cloud-native data infrastructure for a high-performance digital-asset trading firm, ensuring reliable, secure data access in a fast-paced environment.
Staff Data Engineer
Leads enterprise-scale data pipeline modernization using PySpark, AWS Glue, and Airflow, sets engineering standards, and coaches teams while leveraging AI-assisted development 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
Design and maintain scalable data pipelines and architecture for a fast-growing ecommerce company, using Python, SQL, and cloud services like AWS/Azure.
Staff Data Engineer - Cloud Modernisation & AI Pipelines
Staff Data Engineer builds and scales cloud-native data pipelines using PySpark, AWS Glue, Spark, and Airflow to modernize global data infrastructure in a regulated environment.
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.
Data Engineering Lead
Lead a team of data engineers to design and deploy cloud-native data pipelines and warehouses, migrating IAG Cargo from on-premise to AWS and Snowflake.
Head of Data Engineering
Lead a hybrid team of data engineers, define the data strategy, and build scalable pipelines and platforms to support analytics and business-critical initiatives in a financial-services organisation.
Senior Data Engineer: Cloud-Powered Data Pipelines
Senior Data Engineer builds and maintains cloud-based data pipelines using GCP/AWS, BigQuery, and Airflow to deliver analytics and insights for editorial, marketing, and product teams.
Data Engineering Manager
Lead a data engineering team to build and scale secure, high-integrity pipelines and warehouses using Python, Airflow, Databricks, and AWS, while enforcing governance and quality standards.
Data Engineer
Build and maintain scalable data pipelines for a high-traffic digital media group, using Python, SQL, Airflow, dbt, Spark, and cloud platforms like GCP.
Data Engineering Manager
Lead a team of data engineers to build and maintain Zoopla’s scalable data platform using Python, SQL, AWS, Redshift, Databricks, and Airflow.
Data Engineer
Build and maintain scalable data pipelines using Python, SQL, and GCP services like BigQuery and Dataflow to power analytics for a leading fashion brand.
Data Engineering Manager
Lead a small team of Data Engineers to build and maintain AI-driven customer interaction platforms using cloud, Snowflake, Python, Airflow, and Docker.
Data Engineer
Build and optimize data pipelines with Airflow and SQL to power marketing and customer insights for major brands using modern data tools.