Senior AWS Data Platform Lead

NTT DATA; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Flexible work options

Learning & Development

Job summary

NTT DATA is seeking a Lead Data Engineer (AWS) in the UK to design and deliver scalable data pipelines and cloud-native platforms. You will collaborate with architects, engineers, and analysts to build reliable data solutions using AWS Glue, Python/PySpark, SQL, and YAML.

The role emphasizes governance, security, and performance, with a focus on delivering modern data architectures and data lakehouse implementations for analytics and AI-driven outcomes.

Qualifications

• Proven data engineering experience in cloud-based platforms.
• Strong skills in AWS Glue, PySpark, Python, and SQL.
• Experience with data lakes and Lakehouse-style architectures.
• Knowledge of CI/CD and DevOps practices.

Responsibilities

• Act as a senior engineer within data engineering and cloud platform initiatives.
• Collaborate with architects to define scalable AWS-based data solutions.
• Lead engineering workstreams and ensure high-quality technical delivery.
• Design, build, and optimise scalable data pipelines on AWS.
• Develop and maintain ETL/ELT pipelines using AWS Glue, Python, PySpark, SQL, YAML.
• Implement robust data ingestion, transformation, and processing patterns.
• Develop automated testing, monitoring, and alerting solutions.
• Drive observability and pipeline resilience.

Skills

AWS Glue

Python

PySpark

SQL

YAML

Data pipelines

Spark

CI/CD

DevOps

Tools

AWS Cloud Services

Data Lakes

Lakehouse concepts

Job description

NTT DATA is seeking a Lead Data Engineer (AWS) in the UK to design and deliver scalable data pipelines and cloud-native platforms. You will collaborate with architects, engineers, and analysts to build reliable data solutions using AWS Glue, Python/PySpark, SQL, and YAML.

The role emphasizes governance, security, and performance, with a focus on delivering modern data architectures and data lakehouse implementations for analytics and AI-driven outcomes.