AWS Data Engineer - PySpark/AI

Datatech Analytics; City of Westminster; On-site; GBP 60,000 - 90,000; Full time

Job summary

Datatech Analytics is seeking a Data Engineer to own and shape data platform evolution. You’ll join a small, collaborative team handling large volumes of complex event data and delivering reliable data products at scale.

You’ll design and optimize ETL/ELT pipelines, expand the AWS data lake, and collaborate with product and engineering teams to structure data for analytics while improving quality and CI/CD across workflows.

Qualifications

• Strong SQL skills for transforming, cleaning and loading data.
• Commercial Python, PySpark and Pandas experience.
• Experience with orchestration tools such as Airflow, Dagster or Celery.
• Practical experience with Spark and EMR.
• Hands-on knowledge of AWS services, including Lambda, RDS and S3.
• Experience using Claude Code as part of your day-to-day engineering workflow.
• An understanding of CI/CD and DataOps practices.
• Strong communication skills and the ability to collaborate with colleagues internationally.

Responsibilities

• Build and improve ETL and ELT pipelines supporting analytics and customer-facing products
• Expand and optimise the existing AWS data lake and architecture
• Work closely with product and engineering teams to shape how data is structured and used
• Improve data quality, accessibility and reliability across the platform
• Automate manual processes and strengthen CI/CD across data workflows
• Explore new technologies and influence future engineering decisions
• Use Claude Code to support development, debugging, testing and documentation

Skills

SQL

Python/PySpark/Pandas

Airflow/Dagster/Celery

Spark/EMR

AWS (Lambda/RDS/S3)

Claude Code

CI/CD & DataOps

Communication

Tools

Airflow

Dagster

Celery

Spark

EMR

Claude Code

Job description

Our client is a growing technology business developing data and AI products that help organisations gain deeper insight into consumer behaviour. They are expanding their engineering team and looking for a Data Engineer who wants to take ownership, contribute ideas and have a visible impact on how the platform develops.

You'll join a small, collaborative team working with large volumes of complex event data. From improving the underlying architecture to developing dependable data products, you'll help keep the journey from raw data to customer insight fast, scalable and trustworthy.

You'll have the opportunity to:

• Build and improve ETL and ELT pipelines supporting analytics and customer-facing products
• Expand and optimise the existing AWS data lake and architecture
• Work closely with product and engineering teams to shape how data is structured and used
• Improve data quality, accessibility and reliability across the platform
• Automate manual processes and strengthen CI/CD across data workflows
• Explore new technologies and influence future engineering decisions
• Use Claude Code to support development, debugging, testing and documentation

• Strong SQL skills for transforming, cleaning and loading data
• Commercial Python, PySpark and Pandas experience
• Experience with orchestration tools such as Airflow, Dagster or Celery
• Practical experience with Spark and EMR
• Hands-on knowledge of AWS services, including Lambda, RDS and S3
• Experience using Claude Code as part of your day-to-day engineering workflow
• An understanding of CI/CD and DataOps practices
• Strong communication skills and the ability to collaborate with colleagues internationally

Experience with LLMs, fine-tuning, RAG or statistics would be useful but is not essential.