{"id":1379733,"url":"https://alion.io/job/swisscom-data-analytics-engineer","title":"Data & Analytics Engineer","company":{"id":39237,"name":"Swisscom","domain":"swisscom.ch","url":"https://alion.io/company/scmn","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":8,"ghost_share":0,"stale_share":0.875,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bern, Switzerland","Zurich, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":146000,"period":"year","method":null,"sample_n":4231},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false}],"status":"live","first_seen_at":"2026-09-28T07:49:29Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-09-28T18:36:41Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Your future starts here\nYou develop, operate, and continuously optimize modern data, analytics, and AI solutions within a cloud and data platform environment. Working closely with business units, Product Owners, and engineering teams, you design data-driven products following Data Mesh principles. By combining modern technologies, agile ways of working, and high technical standards, you deliver stable, secure, and maintainable solutions for complex enterprise environments.\nTake ownership of data products in line with Data Mesh principles\nDevelop and operate scalable data pipelines and integrate diverse data sources\nAnalyze, model, and process structured and unstructured data for reporting, analytics, and AI applications\nEnsure solution quality, security, data privacy, and maintainability\nContribute to architecture, design, and implementation decisions while continuously improving standards and processes\nProvide second- and third-level support and take responsibility for operational tasks\nYour Skills\nDegree (ETH, University, University of Applied Sciences, or Higher Technical College) in Computer Science or a comparable qualification\nSeveral years of experience in Data Engineering, Analytics, or AI Engineering within complex enterprise environments\nStrong knowledge of modern cloud and data platforms, ideally AWS\nExperience in building and operating data platforms and scalable data pipelines\nFamiliarity with software engineering principles and automated build, test, and deployment processes\nStrong analytical, structured, and solution-oriented mindset with excellent problem-solving skills\nEnjoy working collaboratively across disciplines and engaging with a wide range of stakeholders\nCuriosity and enthusiasm for modern technologies and ways of working\nFluent German and good English language skills\nWith us, you have the opportunity to work in one of our offices in Switzerland or in your home office. You will come into contact with agile working methods and the latest technologies. We offer flexible working hours to meet your personal needs. As a Swisscom employee, you can look forward to a variety of attractive benefits that will enrich your work experience. These include a pleasant working environment, financial benefits and exciting opportunities for professional development. Discover your Benefits.\nIs it a match? Apply now.\nDiscover your possibilities\nAny questions?\nHere you'll find answers to the most important and frequently asked questions.\nTo all recruitment agencies: Swisscom does not accept agency CVs. Please do not forward CVs to our job's alias, Swisscom employees or any other organisation location. Swisscom is not responsible for any fees related to unsolicited CVs.\nContact person\nTara GraberTalent Attraction PartnerYour homebase\nSwisscom (Schweiz) AGAlte Tiefenaustrasse 6, 3048 Worblaufen","description_format":"text","description_chars":2847,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"German","level":"Advanced (C1)","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Home office","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Events & Ticketing","Internet Service Providers","Virtual Events","Event Technology"],"lifecycle":[{"event":"open","at":"2026-09-28T07:49:29Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":19,"reasons":["conf:6","win:early"],"computed_at":"2026-09-29T01:10:54Z"},"pay":null,"html_url":"https://alion.io/job/swisscom-data-analytics-engineer","json_url":"https://alion.io/job/swisscom-data-analytics-engineer.json","meta":{"generated_at":"2026-09-29T01:10:54Z","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":861,"day_limit":5000,"remaining_today":4139,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}