Data Engineer (Python - Scala)

Capgemini; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading technology consulting firm in Greater London is seeking a Data Engineer to support predictive modeling and data-driven initiatives. You will prepare datasets, build scalable pipelines, and collaborate with product and engineering teams. Ideal candidates will have strong expertise in Python and Scala, knowledge of big data frameworks, and cloud platform familiarity. This role embraces a hybrid working model, blending office, client, and home work environments.

Benefits

Training and development opportunities

Employee wellbeing programs

Collaborative work environment

Qualifications

• Strong expertise in Python and Scala with hands-on experience in ML libraries.
• Solid SQL skills for big-data frameworks.
• Familiarity with major cloud platforms.

Responsibilities

• Perform data cleaning and feature engineering for ML cases.
• Build and optimize data pipelines with Python and Scala.
• Collaborate with data scientists for model development.

Skills

Python

Scala

Pandas

NumPy

Scikit-learn

PySpark

SQL

Hadoop

Tools

Azure

AWS

GCP

Job description

About the Job you are considering:
We are seeking a Data Engineer with strong proficiency in Python and Scala to support predictive modeling, statistical analysis, and data‑driven product initiatives. This role focuses on preparing high‑quality datasets, enabling machine‑learning workflows, and building scalable pipelines using modern data‑engineering tools. You will work closely with engineering, product, and business teams to deliver reliable, production‑ready data solutions across cloud 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:

• Perform data cleaning, transformation, and feature engineering to support ML and analytics use cases.
• Build and optimize data pipelines and automated workflows using Python, Scala, PySpark, and relevant ML libraries.
• Develop and maintain scalable data‑processing systems for both batch and real‑time workloads.
• Support model development by collaborating with data scientists and translating requirements into engineering solutions.
• Partner with cross‑functional teams to deliver insights and ensure seamless data availability for decision‑making.

Your Skills

• Strong expertise in Python and Scala, with hands‑on experience in Pandas, NumPy, Scikit‑learn, PySpark, and MLlib.
• Solid SQL skills and experience working with large‑scale, big‑data frameworks (e.g., Spark, Hadoop).
• Familiarity with major cloud platforms such as Azure, AWS, or GCP.
• Ability to build scalable pipelines, automate workflows, and optimize data‑engineering processes.
• Excellent analytical and problem‑solving skills, with the ability to interpret and communicate complex findings clearly.

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.

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