Senior Data Engineer

Capgemini

Greater London

Hybrid

GBP 60,000 - 90,000

Full time

11 hours ago
Be an early applicant
Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Capgemini in Northampton is seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines using Python, PySpark, and SQL. You will work with large datasets and distributed computing frameworks, delivering data-driven solutions for business needs.

The role requires 7–9 years in data engineering, strong Python, PySpark and SQL skills, and exposure to Scala; cloud platform experience and DevOps practices are a plus.

Qualifications

  • 7–9 years of experience in Data Engineering or related roles.
  • Strong hands-on Python development experience.
  • Proven PySpark experience for large-scale data processing.

Responsibilities

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

Skills

Python development
PySpark
SQL
Scala exposure
Cloud platforms
DevOps/CI/CD

Job description

Job Title : Data Engineer - ( Python, PySpark, and SQL)Location : NorthamptonAbout 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.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 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.Skills7–9 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.Preferred SkillsExperience 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, andMeet 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.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.Make it real | www.capgemini.com
Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Data Engineer Python, PySpark, and SQL
Data Engineer Python, PySpark, and SQL

Capgemini • Northampton

Hybrid
GBP 70,000 - 100,000
Data Engineer
Data Engineer

Capgemini • Greater London

Hybrid
GBP 70,000 - 100,000
Data Architect
Data Architect

Capgemini • Greater London

Hybrid
GBP 90,000 - 130,000
Disability Confident Employer (UK)
Great Place to Work wellbeing
Learning for life (250,000 courses)
Senior Data Engineer - London, UK
Senior Data Engineer - London, UK

Capgemini • Greater London

On-site
GBP 70,000 - 110,000
Senior Java Engineer
Senior Java Engineer

Capgemini • Urmston

Hybrid
GBP 75,000 - 95,000
Wellbeing program
Learning for life
250,000 courses access
Data Architect (with Financial Services)
Data Architect (with Financial Services)

Capgemini • Greater London

On-site
GBP 90,000 - 120,000
Data Architect - London, UK - Fulltime
Data Architect - London, UK - Fulltime

Capgemini • Greater London

On-site
GBP 90,000 - 120,000
Data Engineer
Data Engineer

Capgemini • Birmingham

On-site
GBP 60,000 - 80,000
Flexible working arrangements
Training and development opportunities
Collaborative work environment
Senior Big Data Engineer
Senior Big Data Engineer

Capgemini • Greater London

On-site
GBP 80,000 - 100,000
Wellbeing support
Training and development opportunities
Flexible working conditions
Azure Databricks Engineer
Azure Databricks Engineer

Capgemini • Greater London

On-site
GBP 70,000 - 110,000