Spark AWS Data Engineer - Glasgow, UK

This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.

About the Job you are considering: To design, build and maintain scalable data pipelines, data lakes and data warehouse solutions on AWS. The role focuses on developing high performance data engineering solutions using PySpark, Spark, Python and AWS services, enabling secure, reliable and efficient data processing and analytics across enterprise platforms.

Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role:

• Design, develop and maintain scalable batch and real-time data pipelines using PySpark, Spark, Python and AWS services.
• Build and optimize data lakes and data warehouse solutions ensuring data quality, security and accessibility.
• Develop reusable production-grade ETL/ELT frameworks and data processing solutions.
• Implement orchestration workflows using AWS Step Functions, Airflow and other automation tools.
• Develop and maintain cloud infrastructure using AWS CloudFormation.
• Collaborate with business stakeholders to understand requirements and translate them into scalable technical solutions.
• Optimize data processing performance, monitoring and operational support.
• Implement unit testing, code reviews and CI/CD best practices using GitLab.
• Support platform modernization and migration initiatives leveraging Spark-based architectures.
• Work closely with Data Scientists and Analytics teams to enable AI/ML use cases.

Your Skills:

• Strong hands-on experience in Data Engineering with delivery of production-grade solutions.
• Expertise in PySpark, Apache Spark, Python and SQL.
• Strong experience designing and optimizing complex data pipelines and ETL/ELT frameworks.
• Hands-on experience with AWS services including: S3, Glue, Lambda, Step Functions, Athena, ECS, IAM, KMS, VPC, SageMaker (preferred).
• Experience with AWS CloudFormation for Infrastructure as Code.
• Strong understanding of data lakes, data warehouses and distributed data processing.
• Experience with GitLab, CI/CD, Unit Testing and DevOps practices.
• Excellent problem-solving skills and ability to work independently.
• Strong stakeholder management and communication skills.

Nice to Have:

• Experience with Databricks, Delta Lake, Unity Catalog and migration projects.
• Knowledge of AI/ML and MLOps frameworks.
• Experience with streaming technologies such as Kafka or Kinesis.

Ideal Candidate: A hands-on Data Engineer with strong expertise in Spark, PySpark, AWS and CloudFormation capable of building scalable enterprise data solutions while driving modernization and cloud transformation initiatives.

We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and meet the minimum essential criteria for the role. Please opt in during the application process.

Make It Real (what does it mean for you): You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce as a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from think tanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.

You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.

Why you should consider Capgemini: Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.