7 of 7 BigQuery Jobs in the Midlands

Experience using SQL and Python to effectively automate data pipelines and other tasks with tools such as dbt, airflow. Strong experience with data lakehouse architecture (e.g DataBricks,Redshift, Snowflake, BigQuery). Exposure to cloud services and their configuration (e.g AWS). Experience in building and documenting data architectures and ETL/ELT processes, with a strong emphasis on performance More ❯

Experience using SQL and Python to effectively automate data pipelines and other tasks with tools such as dbt, airflow. Strong experience with data lakehouse architecture (e.g DataBricks,Redshift, Snowflake, BigQuery). Exposure to cloud services and their configuration (e.g AWS). Experience in building and documenting data architectures and ETL/ELT processes, with a strong emphasis on performance More ❯

to deliver end-to-end data products. Mentor mid-level analysts and help strengthen capability across the Commercial Ops analytics team. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. Location: This is a hybrid role based in Nuneaton, with the requirement to be in the office at least two days per week. The Person What More ❯

Promotions teams to deliver data products. Contribute to sprint planning and backlog shaping as part of the Commercial Ops analytics roadmap. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. Location: This is a hybrid role, with 2 days per week expected in either our Nuneaton office (CV10 7RH) The Person What We're Looking For More ❯

analytics, and reporting Develop robust, reusable data pipelines (API, flat-file, EDI) from supplier portals and internal systems (ERP, finance, CRM, operations) into a central warehouse (e.g., Snowflake/BigQuery/Redshift) Implement transformation and modelling layers (e.g., dbt) with well-documented, tested datasets (staging, marts) that map to key business domains (orders, jobs, invoices, suppliers, credit control) Establish More ❯

analytics, and reporting Develop robust, reusable data pipelines (API, flat-file, EDI) from supplier portals and internal systems (ERP, finance, CRM, operations) into a central warehouse (e.g., Snowflake/BigQuery/Redshift) Implement transformation and modelling layers (e.g., dbt) with well-documented, tested datasets (staging, marts) that map to key business domains (orders, jobs, invoices, suppliers, credit control) Establish More ❯

systems at scale Champion clean code, observability, and continuous delivery Mentor and inspire other engineers Tech you’ll use: C#, Go, Kubernetes, GCP, SQL Server, MongoDB, GitOps (Argo CD), BigQuery, Airflow You’ll join a collaborative, forward-thinking team where experimentation and autonomy are encouraged — and where your impact will be felt across millions of users worldwide. More ❯