{"id":1805379,"url":"https://alion.io/job/capgemini-data-engineer-python-pyspark-and-sql","title":"Data Engineer- Python, PySpark, and SQL","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":75,"open_postings":932,"ghost_share":0,"stale_share":0.996,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":140000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-28T17:07:21Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-06T23:51:23Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Job Title: Data Engineer - Python, PySpark, and SQL\nLocation: Northampton\n\nAbout the Job you are considering:\nWe 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.\n\nHybrid working:\nThe 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.\n\nYour Role:\nDesign, develop, and maintain scalable data pipelines and ETL processes.\nDevelop and optimize data processing solutions using Python and PySpark.\nWrite complex and high-performing SQL queries for data extraction, transformation, and analysis.\nWork with large datasets and distributed computing frameworks to support data engineering initiatives.\nCollaborate with architects, analysts, and business stakeholders to deliver data-driven solutions.\nTroubleshoot and resolve performance, scalability, and data quality issues.\nContribute to data platform modernization and best practices.\nSkills\n7-9 years of experience in Data Engineering or related roles.\nStrong hands-on experience in Python development.\nProven experience with PySpark for large-scale data processing.\nStrong knowledge of SQL, including query optimization and performance tuning.\nExposure to or working knowledge of Scala.\nExperience working with cloud-based or enterprise data platforms.\nStrong analytical, problem-solving, and communication skills.\nPreferred Skills\nExperience with data warehousing and ETL frameworks.\nExposure to cloud platforms such as Azure, AWS, or GCP.\nFamiliarity with DevOps, CI/CD, and version control tools.\n\nWe are a Disability Confident Employer:\nCapgemini 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:\nDeclare they have a disability, and \nMeet the minimum essential criteria for the role.\nPlease opt in during the application process.\n\nMake It Real (what does it mean for you):\nYou’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.\n\nYou 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.\nYou 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.\n\nWhy you should consider Capgemini:\nGrowing 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.\nAbout Capgemini:\nCapgemini 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. 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