{"id":3456860,"url":"https://alion.io/job/capgemini-databricks-developer-london-uk","title":"Databricks Developer - London, UK","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":79,"open_postings":1711,"ghost_share":0.002,"stale_share":0.828,"repost_share":0.012,"time_to_fill_p50_days":30,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":58000,"max_usd":133000,"period":"year","method":"role_country_seniority_unknown","sample_n":202},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-28T12:40:04Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-03T15:13:22Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"About the Job you are considering:\nWe are seeking a skilled Databricks Developer with strong expertise in building scalable data pipelines data transformation and analytics solutions on the Azure Databricks platform The ideal candidate should have Handson experience in Spark Python SQL and cloud based data engineering solutions\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.\nYour Role:\nDesign develop and maintain scalable ETLELT pipelines using Azure Databricks\nDevelop data processing solutions using PySpark Spark SQL and Python\nIngest transform and optimize structured and unstructured data from multiple sources\nBuild and maintain data lakes and medallion architecture Bronze Silver Gold layers\nIntegrate Databricks with Azure Data Factory ADF Azure Data Lake Storage ADLS Synapse and other cloud services\nOptimize Spark jobs for performance and cost efficiency\nImplement data quality checks monitoring and troubleshooting processes\nCollaborate with business stakeholders’ data analysts and architects to understand data requirements\nEnsure adherence to data governance security and compliance standards\nYour Skills:\nStrong experience with Azure Databricks\nExpertise in PySpark Spark SQL and Python\nHandson experience with Azure Data Factory ADF\nStrong SQL programming and database concepts\nExperience with Azure Data Lake Storage ADLS Gen2\nKnowledge of ETL Data Warehousing concepts\nExperience with Git CICD and DevOps practices\nUnderstanding of data modelling and performance tuning\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.\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.\nTo 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.\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 Manage Mentor, 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.\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 organizations 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 over 420,000 team members in more than 50 countries. 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