AWS Data Engineer

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

Location: Holborn, London - hybrid, three office days per week

Salary: Up to £75,000 dependent on experience

Ref: J13171

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

Experience required:

• 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.

This is an opportunity to join an ambitious business at an exciting stage of its growth, take genuine ownership and help develop data products that customers can trust and rely on.