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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Broaden - **Location:** Glasgow, UK - **Salary:** £65,000.0 - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Amazon Web Services, Cloud Computing, Extract Transform Load (ETL), Database Queries, Github, Apache Hive, Python (Programming Language), PostgreSQL, Metadata, PostGIS, Power BI, Spatial Data Infrastructures, Data Streaming, Cloud Platform System, Apache Spark, Change Data Capture, Git, Geospatial Data Abstraction Library (GDAL), Data Pipelines, Databricks - **Published:** July 2, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2850740776-2 ## About the Role * Proven ability to design, build, and maintain pipelines that just work, keeping workflows running smoothly behind the scenes. * Comfortable working in the cloud, specifically with Databricks, and familiar with how AWS services power scalable platforms. * Python is second nature to you, whether for building pipelines, automating processes, or writing tests. * Strong SQL skills with an interest in (or experience with) PostgreSQL/PostGIS for spatial data. * Experience structuring data through Bronze, Silver, and Gold layers using Python and Spark SQL. * You should know, and have experience with, every keyword in the second half of this sentence: Lakeflow Spark Declarative Pipelines, ETL, Delta, Unity Catalog, Data Quality, Medallion Architecture, Change Data Capture, SCD Types, Python, Git, and GitHub. Preferred Skills * Curious about geospatial data and excited to learn tools like GDAL and DuckDB. * Experience using BI tools (like Power BI) to tell clear, compelling stories with data. * Fluent in friendly, informative chats and comfortable with change in a fast-moving environment., * A genuinely lovely, people-first team that supports growth and learning. ## Description You will help design, build, and maintain powerful, scalable data pipelines and platforms that keep our data easy to find, trustworthy, and ready for real-world use. This is a hands-on role where you'll utilise cutting-edge tools like Databricks and modern cloud technologies to automate ETL processes and uncover insights from rich geospatial data. We are looking for someone who champions best practices in metadata, testing, and governance. You will play a key role in delivering our medallion architecture, ensuring well-structured bronze, silver, and gold layers that power our suite of data products. Responsibilities * Design and run robust data pipelines using Databricks and AWS, transforming large-scale geospatial datasets into high-quality, usable data. * Automate core ETL processes to enable smooth, reliable, and scalable data flows across the organisation. * Support the delivery of our medallion architecture and develop metadata frameworks to make data easier to understand and trust. * Partner with senior engineers and product teams to deliver genuinely useful data products. * Advocate for best practices in testing and documentation, contributing to automated frameworks that keep data geospatially sound. * Spot opportunities to make things faster by optimising pipelines and queries with techniques like spatial indexing. * Keep everything aligned with security and licensing standards-no shortcuts. ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)