AWS Data Engineer — Hybrid London, Build Scalable Pipelines

Datatech Analytics; Greater London; Hybrid; GBP 45,000 - 75,000; Full time

Job summary

Datatech Analytics in London is seeking a Data Engineer to own data pipelines and shape platform development. You’ll work with a small team on large volumes of event data, from architecture improvements to dependable data products.

You’ll build ETL/ELT pipelines, expand the AWS data lake, collaborate with product and engineering, and raise data quality and reliability. Claude Code will be used to support development, debugging, testing and documentation.

Qualifications

• Proficient in SQL for transforming, cleaning and loading data.
• Strong Python experience with PySpark and Pandas.
• Experience with orchestration tools like Airflow, Dagster or Celery.
• Hands-on with Spark and EMR.
• Proficient in AWS services (Lambda, RDS, S3).
• Experience using Claude Code in daily engineering workflows.
• Understanding of CI/CD and DataOps practices.
• Excellent communication and collaboration across teams.

Responsibilities

• Build and improve ETL and ELT pipelines supporting analytics and customer-facing products.
• Expand and optimise the existing AWS data lake and architecture.
• Collaborate with product and engineering to shape data structure and usage.
• 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

AWS RDS

AWS S3

Claude Code

CI/CD

DataOps

Communication

Job description

Datatech Analytics in London is seeking a Data Engineer to own data pipelines and shape platform development. You’ll work with a small team on large volumes of event data, from architecture improvements to dependable data products.

You’ll build ETL/ELT pipelines, expand the AWS data lake, collaborate with product and engineering, and raise data quality and reliability. Claude Code will be used to support development, debugging, testing and documentation.