{"id":1816903,"url":"https://alion.io/job/ericsson-data-engineer","title":"Data Engineer","company":{"id":56456,"name":"Ericsson","domain":"ericsson.com","url":"https://alion.io/company/ericsson","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":75,"open_postings":43,"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":null,"employment_type":null,"work_mode":"on_site","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":28000,"max_usd":81000,"period":"year","method":null,"sample_n":3503},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"MySQL","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-08-12T08:09:07Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-05T00:08:34Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"Join our Team\nAbout this opportunity:\nHere at Data & AI Foundation, we collect, invest, and archive vast amounts of data from Ericsson's customers all over the world. Our unit is responsible for providing an Analytics platform with Data & AI Frameworks and shared analytics functions to be used broadly within Ericsson. Support the R&D digital transformation with diverse services connected to Data & AI.\nIn this position you will belong to an agile, cross-functional team that works with Ericsson Network Benchmarking which utilizes anonymized customer data to calculate, visualize and benchmark the current network performance of operators all over the world to drive sales in Ericsson’s products.\nWhat you will do:\nWrite, test, and maintain high-quality code in Python\nAssist in building data pipelines and create new benchmarking graphs.\nCooperate with data scientists and data engineers to understand their current needs. \nThe skills you bring:\nHigh interest in big data, data engineering and visualization \nExperience in Python and scripting\nKnowledge of Spark, Pandas, Airflow\nFamiliarity with data warehousing, data pipelines/flows, microservices/cloud, Git, Linux, CI, and unit testing\nFamiliarity with the agile way of working \nAn open and innovative mindset that adapts to changes easily\nEnglish proficiency, both written and spoken\nBSc or MSc Degree in Computer Science, Electrical Engineering, or an equivalent\nIt's a huge plus if you have experience with:\nKnowledge of frameworks and applications: Spark, PowerBI, Kubernetes/Docker, AWS S3, MySQL \nPrevious experience with data monitoring systems\nWhy join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.\nWhat happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.\nPrimary country and city: Hungary (HU) || Budapest\nReq ID: 789302","description_format":"text","description_chars":2644,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile Networks","Telecom Infrastructure","Network Equipment"],"lifecycle":[{"event":"open","at":"2026-10-04T01:18:20Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.264,"p_room":0.28,"age_days":52,"expected_fill_days":23,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ericsson-data-engineer","json_url":"https://alion.io/job/ericsson-data-engineer.json","meta":{"generated_at":"2026-10-05T02:34:55Z","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":3531,"day_limit":5000,"remaining_today":1469,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}