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# AWS Data Engineer

- **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, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Visualization, Python (Programming Language), SQL Databases, Apache Spark, AWS Data Analytics, Data Pipelines
- **Published:** August 11, 2026
- **Apply:** https://datatech.org.uk/job/aws-data-engineer-60635787/?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 who understands the fundamentals but is also excited about how AI is changing the way engineers work, want to hear from you. Apply today!

## Description

An exciting opportunity for a Data Engineer to join a growing technology business specialising in consumer data and analytics.

Working within a small, talented team of engineers, analysts and data scientists, you'll play a hands-on role in developing and improving the data platform, building scalable data pipelines and working with large volumes of consumer data.

Strong coding fundamentals across Python, SQL and Spark are key, alongside a genuine interest in how AI is changing data engineering. You'll already be using AI-assisted development tools such as Claude in your day-to-day work, while having the technical knowledge to understand, review and challenge the code they produce.

This is an opportunity to join a collaborative startup environment where you can explore new technologies, contribute ideas and have a genuine impact as the business continues to scale., ·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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