AWS Data Engineer

NTT DATA; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

NTT DATA is seeking a detail-oriented Data Engineer – AWS to join its Data & AI practice. The candidate will focus on data engineering, ETL/ELT pipeline development, and AWS-based data solutions.

Responsibilities include building and maintaining data pipelines, collaborating on solutions with stakeholders, and ensuring data quality and reliability. Strong analytical skills and experience with AWS Glue, Python/PySpark, and SQL querying are necessary for success in this role.

Qualifications

• Experience in data engineering or software engineering with a data focus.
• Strong interest in cloud-based data platforms and distributed processing.
• Attention to detail and commitment to data quality and reliability.

Responsibilities

• Support delivery across data engineering and platform development initiatives.
• Collaborate with architects, engineers, and stakeholders to implement data solutions.
• Build and maintain data pipelines and workflows on AWS.

Skills

AWS Glue

Python/PySpark

SQL querying

YAML configuration

Analytical skills

Communication skills

Tools

AWS

Git

Spark

Job description

Data Engineer – AWS

We are seeking a detail‑oriented and capable Data Engineer – AWS to join our Data & AI practice. The successful candidate will bring solid experience in data engineering, ETL/ELT pipeline development, and cloud‑native platforms, with a strong focus on AWS‑based data ecosystems.

Responsibilities

• Support delivery across data engineering and platform development initiatives.
• Collaborate with architects, engineers, and stakeholders to implement data solutions on AWS.
• Assist in planning and executing engineering tasks, releases, and deliverables.
• Build and maintain data pipelines and workflows on AWS, using YAML configuration.
• Support ingestion, transformation, and processing of structured and semi‑structured data.
• Contribute to the development of scalable, reusable data components and services.
• Test and validate data pipelines and processing jobs running on AWS services.
• Develop and execute data validation and reconciliation queries using SQL.
• Work with AWS services including AWS Glue and S3‑based data lakes.
• Support implementation of modern data platforms, including data lakes and lakehouse‑style architectures.
• Optimize data jobs for performance, scalability, and cost efficiency.

Experience & Qualifications

• Experience in data engineering or software engineering with a data focus.
• Strong interest in cloud‑based data platforms and distributed processing.
• Good analytical and problem‑solving skills.
• Attention to detail and commitment to data quality and reliability.
• Effective communication and teamwork skills.
• Willingness to learn and develop in AWS and modern data engineering.

Technical Practices

• Experience with AWS cloud services, especially AWS Glue, Python/PySpark, and SQL querying.
• Exposure to YAML or configuration‑driven pipelines.
• Experience building or supporting data processes.
• Familiarity with data lakes and/or lakehouse concepts.
• Experience with distributed processing frameworks (e.g., Spark).
• Basic understanding of data architecture and architecture principles.
• Exposure to version control (Git) and CI/CD pipelines.

Equal Opportunity Employer

NTT DATA is an equal opportunities employer. We commit to promoting equity and diversity in our employment practices and providing reasonable adjustments for applicants with disabilities.