Senior AWS Technical lead

Capgemini; Glasgow; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global technology transformation partner is seeking a Senior AWS Tech Lead in Glasgow to lead data engineering projects, optimize data pipelines, and collaborate on ML model deployments. The ideal candidate has expertise in AWS services, strong coding skills in Python and PySpark, and leadership experience in delivering data solutions. This role offers the opportunity to drive end-to-end technical solutions in a dynamic environment.

Qualifications

• Leadership experience in AWS Data Engineering projects.
• Strong coding background in Python and PySpark for scalable solutions.
• Expertise in Databricks development and migration.

Responsibilities

• Lead AWS Data Engineering projects and deliver production‑grade solutions.
• Design, implement, and optimize complex data pipelines independently.
• Collaborate with data scientists for ML model deployment.

Skills

AWS Data Engineering

Python

PySpark

SQL

Airflow

AWS Step Functions

Tools

Databricks

AWS Lambda

AWS Glue

AWS S3

Job description

Job Title

Senior AWS Tech Lead - Glasgow

GET THE FUTURE YOU WANT!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

• Lead AWS Data Engineering projects and deliver production‑grade solutions.
• Design, implement, and optimize complex data pipelines independently.
• Strong SQL and Python/PySpark programming for scalable, reusable code.
• Experience with orchestration tools like Airflow and AWS Step Functions.
• Hands‑on AWS services: S3, Lambda, Glue, Athena, SageMaker, VPC, ECS, IAM, KMS, CloudFormation.
• Expertise in Databricks development/migration (Spark, Delta Lake, Unity Catalog, MLflow).
• Analyze processes, suggest improvements, and drive end‑to‑end technical solutions.
• Collaborate with data scientists for ML model deployment; AIML knowledge is a plus.

Your Profile

• Senior Consultant with leadership experience in AWS Data Engineering projects.
• Proficient in AWS services including S3, Lambda, Glue, Athena, SageMaker, and CloudFormation.
• Strong coding background in Python and PySpark for building scalable solutions.
• Skilled in designing and optimizing data pipelines and data lakes.
• Hands‑on experience with orchestration tools like Airflow and Step Functions.
• Expertise in Databricks development and migration (Spark, Delta Lake, Unity Catalog).
• Adept at translating business requirements into technical designs and delivering solutions.
• Familiar with AIML concepts and MLflow for machine learning model deployment.

ABOUT CAPGEMINI

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end‑to‑end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get the future you want | www.capgemini.com