Data Engineer

• 7-9 years of experience in Data Engineering or related roles.
• Strong hands-on experience in Python development.
• Proven experience with PySpark for large-scale data processing.
• Strong knowledge of SQL, including query optimization and performance tuning.
• Exposure to or working knowledge of Scala.
• Experience working with cloud-based or enterprise data platforms.
• Strong analytical, problem-solving, and communication skills.

• Experience with data warehousing and ETL frameworks.
• Exposure to cloud platforms such as Azure, AWS, or GCP.
• Familiarity with DevOps, CI/CD, and version control tools.

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 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 thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, 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.

Job Title: Data Engineer- (Python, PySpark, and SQL)

Location: Northampton

About the Job you are considering:

We are seeking an experienced Data Engineer with strong expertise in Python, PySpark, and SQL to design, develop, and optimize large-scale data processing solutions. The ideal candidate will have hands-on experience building data pipelines, working with big data technologies, and exposure to Scala in enterprise data environments.

Your Role:

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Develop and optimize data processing solutions using Python and PySpark.
• Write complex and high-performing SQL queries for data extraction, transformation, and analysis.
• Work with large datasets and distributed computing frameworks to support data engineering initiatives.
• Collaborate with architects, analysts, and business stakeholders to deliver data-driven solutions.
• Troubleshoot and resolve performance, scalability, and data quality issues.
• Contribute to data platform modernization and best practices.

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.

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.
Make it real | www.capgemini.com