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# Data Engineer - AWS, Spark & AI

- **Company:** Datatech Analytics
- **Location:** London, UK (Remote available)
- **Salary:** £60,000.0 - £75,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Visualization, Python (Programming Language), SQL Databases, Apache Spark, AWS Data Analytics, Data Pipelines
- **Published:** August 14, 2026
- **Apply:** https://datatech.org.uk/job/data-engineer-aws-spark-ai-60656948/?form=apply#wpjb-scroll

## About the Role

·Strong hands-on data engineering experience.
·Strong coding fundamentals across Python and SQL.
·Hands-on experience working with Spark for large-scale data processing.
·Hands-on experience working with AWS data services.
·Experience designing and developing scalable data pipelines and ETL/ELT processes.
·Practical experience using AI-assisted development tools such as Claude within your day-to-day work.
·Strong communication skills and the ability to work effectively within a fast-moving, collaborative environment.

If you're a Data Engineer with strong technical fundamentals who wants the freedom to innovate, explore how AI is changing engineering and help shape a data platform as the business scales, we want to hear from you. Apply today!

## Description

·Design, build and optimise scalable data pipelines and ETL/ELT processes.
·Develop and maintain data engineering solutions using Python, SQL and Spark.
·Work with large and complex datasets, ensuring data quality, reliability and performance.
·Use AI-assisted development tools to support coding, problem solving and delivery.
·Collaborate with engineering, analytics and data science teams to develop effective data solutions.
·Identify opportunities to automate processes and improve the scalability and efficiency of data workflows.


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