> Markdown version of [/jobs/ext/3789958-data-engineer](https://www.wearedevelopers.com/jobs/ext/3789958-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Experian Information Solutions, Inc. - **Location:** Sheffield, UK - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, BigQuery, Cloud Database, Customer Data Management, Extract Transform Load (ETL), Data Transformation, Data Synchronization, Salesforce.Com, SQL Databases, Scripting, Google Drive, Core Data, Claude, Google Gemini, Data Pipelines - **Published:** October 17, 2026 - **Apply:** https://www.careerjet.co.uk/job/gbdf8f0da081a6dce7dc6b99d7e865de5b/eaa ## About the Role Core Technical Skills: Some experience using SQL along with a scripting language (preferably Python). Tooling & Platform Knowledge: Exposure or strong interest in cloud data warehouses (GCP/BigQuery/AWS) and an eagerness to work with Airflow, dbt, Fivetran, and Skyvia. Problem-Solving Mindset: A methodical, detail-oriented approach to digging into root causes and communicating issues early. Modern Workflow Adaptability: A drive to grow and an interest in using AI-assisted workflows (such as Claude and Gemini). It would also be great if you have: Experience with Salesforce data structures Exposure to Metabase or similar BI tools Prior experience in a startup/scale-up environment ## Description We are looking for a Junior Data Engineer reporting to the Data Lead to help build a resilient and scalable data function as the company expands across AI initiatives and self-service capabilities. Working alongside an experienced Data Engineer, you will maintain data pipelines, resolve operational incidents, and support dbt transformations across a modern stack in a fast-paced environment. This role offers strong mentorship and a hands-on foundation across cloud warehousing, pipeline orchestration, and cross-functional engineering projects. The Opportunity: Infrastructure Maintenance: Help monitor and maintain core data pipelines using Airflow, Fivetran, and Skyvia to catch and resolve issues proactively. Data Transformation & Integrity: Support transformations in dbt on a BigQuery/GCP warehouse and manage reverse ETL workflows to downstream systems like Salesforce. Incident Management: Investigate and troubleshoot data sync failures, pipeline breakdowns, and dataset discrepancies across the platform. Self-Service & Hygiene: Assist in building self-service capabilities for internal teams while contributing to documentation, testing, and engineering best practices. Cross-Functional Support: Google Drive/Sheets, Metabase, and our GCP/BigQuery to tackle ad-hoc projects as capacity grows.