FullRemoteTalent is seeking a Data Engineer to own pipelines and analytics for a high-growth payments platform. This role involves modernizing the stack, mentoring engineers on data quality and reliability, and scaling batch and streaming processes with Spark. The ideal candidate has over 5 years of experience in data engineering with Python, and hands-on experience with DBT and Airflow. The position offers a flexible remote work arrangement within the UK or EU time zones, along with a learning budget and conference allowance.
29/07/2026
Full time
FullRemoteTalent is seeking a Data Engineer to own pipelines and analytics for a high-growth payments platform. This role involves modernizing the stack, mentoring engineers on data quality and reliability, and scaling batch and streaming processes with Spark. The ideal candidate has over 5 years of experience in data engineering with Python, and hands-on experience with DBT and Airflow. The position offers a flexible remote work arrangement within the UK or EU time zones, along with a learning budget and conference allowance.
Overview Own pipelines and analytics for a high growth payments platform. You will modernize the stack and mentor engineers on data quality and reliability. Responsibilities Design and maintain ELT with DBT and Airflow Scale batch and streaming with Spark Define data contracts with product and engineering Improve lineage, testing and observability Requirements 5+ years in data engineering with Python DBT and Airflow in production Experience with Spark or similar frameworks Great communication and documentation habits Remote within UK or EU time zones Learning budget and conference allowance
29/07/2026
Full time
Overview Own pipelines and analytics for a high growth payments platform. You will modernize the stack and mentor engineers on data quality and reliability. Responsibilities Design and maintain ELT with DBT and Airflow Scale batch and streaming with Spark Define data contracts with product and engineering Improve lineage, testing and observability Requirements 5+ years in data engineering with Python DBT and Airflow in production Experience with Spark or similar frameworks Great communication and documentation habits Remote within UK or EU time zones Learning budget and conference allowance