Senior Big Data Engineer (Spark / Scala / Python)

Capgemini; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

A global technology company is seeking a Senior Big Data Engineer to join their Risk Technology group in Greater London. The role focuses on building scalable data platforms for credit risk and analytics, requiring deep expertise in Spark, Scala, and Python. Candidates must have over 16 years of experience and extensive knowledge in risk and financial data. This hybrid position promotes flexibility with a blend of office, client site, and home working. Join a dynamic team and help innovate in the technology sector.

Benefits

Training and development opportunities

Wellbeing programs

Flexible working environment

Qualifications

• 16+ years of experience in data/software engineering.
• Deep expertise in Spark, Scala, and Python.
• Strong background in designing large-scale ETL/ELT workflows.

Responsibilities

• Design and build distributed data pipelines using Spark in Scala and Python.
• Architect ingestion frameworks for trade and regulatory datasets.
• Lead solution design and mentor engineering teams.

Skills

Spark

Scala

Python

Data governance

ETL/ELT workflows

Communication

Job description

About the Job you are considering:

We are seeking a highly experienced Senior Big Data Engineer to join our Risk Technology group. This role focuses on building scalable, resilient data platforms supporting Counterparty Credit Risk (CCR), trade processing, analytics, and regulatory reporting. The ideal candidate has deep hands‑on expertise in Spark, Scala, Python, and distributed data systems, with strong domain knowledge of financial and risk data.

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 and build distributed batch and real‑time data pipelines using Spark (Core/SQL/Streaming) in Scala and Python.
• Architect scalable ingestion, transformation, and enrichment frameworks for trade, risk, and regulatory datasets.
• Lead solution design, enforce engineering best practices, and mentor global engineering teams.
• Optimize Spark workloads, ensure production reliability, and implement monitoring for pipeline and data quality.
• Collaborate with Quants, Risk, Regulatory, and Trading teams to deliver high‑quality, governed data assets.

Your Skills:

• 16+ years of data/software engineering experience with deep expertise in Spark, Scala, and Python.
• Strong background in designing large‑scale ETL/ELT workflows and distributed compute optimization.
• Solid understanding of trade data, counterparty risk, and market/risk processes within banking.
• Hands‑on experience in data governance, quality controls, lineage, and secure engineering practices.
• Excellent communication skills with a proven track record in global banking and cross‑functional teams.

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