{"id":1807279,"url":"https://alion.io/job/capgemini-databricks-data-engineer","title":"Databricks Data Engineer","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":915,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Budapest, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":63000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":345},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Bicep","optional":true},{"name":"CI/CD","optional":true},{"name":"pySpark","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-04-07T09:05:16Z","employer_posted_date":"2026-04-07","last_verified_at":"2026-10-05T00:02:56Z","board_verified":true,"closed_at":null,"days_open":180,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":179},"description":"Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.\nYOUR PROJECT\nInsights & Data is a thriving team of over 400 professionals focused on delivering advanced data-driven solutions. Our expertise lies in Cloud & Big Data engineering, where we build scalable architectures for processing large and complex datasets across AWS, Azure, and GCP. We manage the entire Software Development Life Cycle (SDLC), leveraging modern data frameworks, programming methodologies, and DevOps best practices to create impactful and efficient solutions.\nYOU WILL\nDesign and implement data processing solutions using Databricks for large-scale and diverse datasets.\nDesign, build, and enhance data pipelines with Python and cloud-native tools.\nWork closely with solution architects to define and uphold best practices in data engineering.\nEnsure data consistency, security, and scalability within cloud-based environments.\nYOUR PROFILE\nStrong experience in data engineering, with at least 1 year of hands-on Databricks expertise.\nStrong experience in Python for automation and data transformation.\nExperience working with at least one major cloud platform (AWS, Azure, or GCP).\nStrong communication skills and strong English language skills.\nNice to have:\nSolid understanding of SQL with experience in query optimization and data modeling.\nFamiliarity with DevOps methodologies, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep).\nExperience with real-time data streaming technologies such as Kafka or Spark Streaming.\nKnowledge of cloud storage solutions like Data Lake, Snowflake, or Synapse.\nHands-on experience with PySpark for distributed data processing.\nRelevant certifications such as Databricks Certified Data Engineer Associate or cloud-based data certifications.\nWHAT YOU WILL LOVE ABOUT WORKING HERE\nAccess our education library with 250,000+ courses, certifications, and learning resources;\nWell-being Hub: The global Well-Being Hub connects employees across various facets of well-being: work-life balance, working hours and network growth;\nWe value flexibility - hybrid work and flexible hours help you maintain a healthy work-life balance;\nWe also offer additional benefits such as Employee referral bonus and Company shares program;\nInterested in how Databricks plays a key role in Capgemini’s data and AI strategy?\nLearn more about our global partnership with Databricks here:\nhttps://www.capgemini.com/about-us/technology-partners/databricks/\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 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.\nMake it real | www.capgemini.com","description_format":"text","description_chars":3447,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Hungary","iso":"HU","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Government","Science & Engineering","Research Institutes"],"lifecycle":[{"event":"open","at":"2026-10-03T19:29:46Z"}],"visa":[],"liveness":{"score":1,"band":"cold","label":"Long shot","p_open":1,"p_active":0.05,"p_room":0.28,"age_days":179,"expected_fill_days":23,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/capgemini-databricks-data-engineer","json_url":"https://alion.io/job/capgemini-databricks-data-engineer.json","meta":{"generated_at":"2026-10-05T01:27:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1945,"day_limit":5000,"remaining_today":3055,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}