Data Engineer – AWS, Spark & AI

Overview

In this Data Engineer role, you will design and optimize scalable data pipelines and ETL/ELT processes for a fast-growing tech startup in London. You’ll leverage Python, SQL, Spark and AWS data services to handle large, complex datasets and deliver reliable data solutions. You’ll work with AI-assisted development tools to accelerate coding and problem-solving, collaborating across engineering, analytics and data science teams. This is a hands-on role with measurable impact from day one, offering freedom to experiment and shape the data platform as the business scales.

Pay / Benefits

• hybrid working (3 days in office, 2 days remote)
• competitive salary (60,000-75,000 depending on experience)
• opportunity to influence data platform as the business scales
• work with cutting-edge data and AI technologies
• fast-growing technology start-up environment
• recognised industry recruitment partner with events like Women in Data

Responsibilities

• 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 scalability and efficiency of data workflows

Key requirements

• Strong hands-on data engineering experience
• Strong coding fundamentals across Python and SQL
• Hands-on experience with Spark for large-scale data processing
• Hands-on experience 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
• Strong communication skills and ability to work in a fast-moving, collaborative environment

• Strong communication
• Collaborative mindset
• Ability to work in a fast-moving environment
• Python
• SQL
• Spark

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