> Markdown version of [/jobs/ext/4016765-data-engineer](https://www.wearedevelopers.com/jobs/ext/4016765-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:** Lynx Recruitment Ltd - **Location:** London, UK (Remote available) - **Experience:** Expert - **Salary:** £65,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Computer Programming, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Python (Programming Language), Performance Tuning, Cloud Services, Standard Sql, SQL Databases, Data Processing, Apache Spark, Microsoft Fabric, Pyspark, Data Pipelines, Databricks - **Published:** October 30, 2026 - **Apply:** https://www.reed.co.uk/jobs/data-engineer/57508114 ## About the Role * Hands-on experience with Microsoft Fabric, Databricks, or equivalent modern data platforms * Strong coding experience in Python and/or Spark/PySpark * Solid SQL skills and experience working with structured datasets Desirable Experience * Knowledge of relational database design, normalisation, and data modelling * Experience designing efficient, scalable data architectures This is an excellent opportunity for a data professional looking to work with modern tooling in a flexible, forward-thinking environment. Skills * Amazon Web Services (AWS) * Cloud Services & Infrastructure * Communication Skills (Key) * Data Engineering Roles * Data Pipeline Development * Data Warehousing * ETL (Extract Transform Load) * Microsoft Azure (Line) * Python Programming (Beginner) * SQL Databases ## Description * Design and develop scalable data pipelines and data processing solutions * Work with modern data platforms such as Microsoft Fabric, Databricks, or similar technologies * Build and optimise data solutions using Python, Spark, PySpark, and/or SQL * Support data integration, transformation, and performance optimisation * Collaborate with stakeholders to ensure high-quality, reliable data architecture