Data Engineer (Snowflake and Data Pipelines) Company: Prize Placements Location: Hertfordshire / Remote / Hybrid Type: Permanent Reports to: Head of Data / Engineering Manager About the Role We are looking for a hands-on Data Engineer to own and develop backend data pipelines. This is a backend engineering role: you will ingest data from a wide range of sources, load it reliably into Snowflake, and make sure it is fresh, monitored and trustworthy. You will work closely with analysts and BI colleagues who consume the data, but building dashboards and reports is not the focus of this position. Key Responsibilities Design, build and maintain robust ELT/ETL pipelines that load data into Snowflake from REST APIs, databases, flat files (CSV/JSON) and third-party platforms. Develop Python-based ingestion, automation and ETL scripts, including API integrations and scheduled jobs. Configure and manage managed or open-source connectors using Fivetran and/or Meltano/Singer (or comparable tooling). Write and optimise advanced SQL in Snowflake, including transformations, performance tuning and data modelling. Implement pipeline monitoring, logging, alerting and error handling, including data freshness and data health checks. Troubleshoot pipeline failures, investigate data quality issues and carry out root-cause analysis. Use Git and sound version-control practices (branching, code review, documentation) across all pipeline code. Automate operational tasks with Bash/shell scripting ..... full job details .....