{"id":1816840,"url":"https://alion.io/job/ericsson-it-data-engineer","title":"IT 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":23,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-03T05:45:00Z"}},"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":["Linköping, Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":135000,"period":"year","method":null,"sample_n":3503},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MS SQL","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"Agile","optional":true},{"name":"Azure","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-07-26T11:18:06Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-04T01:18:20Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":69},"description":"Join our Team\nAbout this opportunity:\nAs a Data Engineer in the HWM Data Management & Visualization team, you will play a key role in designing, developing, and maintaining scalable data solutions that support Ericsson's Hardware Management and Lab Operations ecosystem.\nYou will be responsible for building reliable data pipelines, integrating multiple enterprise data sources, managing data models, and ensuring high-quality, secure, and accessible data for analytics, reporting, automation, and AI-driven initiatives.\nThe Data Engineer works closely with Product Owners, Business Analysts, Data Scientists, Data Architects, Visualization Engineers, and operational stakeholders to transform raw operational data into trusted and governed data products that enable business decisions, process optimization, and digital transformation.\nWhat you will do:\nDesign, build, and maintain scalable data pipelines, ETL/ELT processes, and integrations across enterprise systems, databases, APIs, and cloud or hybrid platforms.\nDevelop and manage data models, data marts, warehouses, and lakehouse-ready structures that support reporting, analytics, automation, AI, and machine learning use cases.\nEnsure data quality, integrity, governance, and master data standards through automated monitoring, validation, reconciliation, and control mechanisms.\nDeliver trusted, reusable, and well-documented datasets that enable business intelligence, self-service analytics, operational reporting, and advanced analytics.\nOptimize data platform performance through partitioning, indexing, query tuning, storage optimization, and scalable infrastructure design.\nCollaborate with architects, analysts, data scientists, and business stakeholders to translate requirements into secure, sustainable, and fit-for-purpose data solutions.\nImplement and govern security, compliance, and access management controls, ensuring adherence to enterprise information security, privacy, audit, and regulatory requirements.\nDrive continuous improvement through automation, modernization, migration initiatives, structured deployment practices, version control, troubleshooting, and operational excellence.\nThe skills you bring:\nProficiency in Python, SQL, and Shell/BASH scripting.\nExperience with PostgreSQL, MySQL, Microsoft SQL Server, and Oracle.\nKnowledge of data modelling, normalization, dimensional modelling, and star schema design.\nExperience building ETL/ELT pipelines and workflows.\nFamiliarity with REST APIs, JSON, XML, and data integration patterns.\nExperience with Linux/Unix environments.\nKnowledge of Git and version control.\nUnderstanding of data warehousing and modern data platforms.\nExperience with cloud-based or hybrid data environments.\nUnderstanding of data lake, warehouse, and lakehouse architectures.\nAnalytics & Visualization Enablement\nData Governance & Security\nAnalytical, problem-solving, and stakeholder communication skills\nPreferred experience\nExperience with GPU clusters or high-performance compute infrastructure for data preparation and AI workloads.\nExposure to Azure Data Services, data gateways, database optimization, and reporting ecosystems.\nExperience supporting enterprise reporting and visualization, especially Power BI.\nExperience with agile product and delivery teams.\nUnderstanding of operational data for utilization, capacity planning, lifecycle tracking, procurement, asset accountability, and compliance reporting.\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: Sweden (SE) || Linköping\nReq ID: 788648","description_format":"text","description_chars":4469,"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":[]},"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":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.3,"p_room":0.28,"age_days":69,"expected_fill_days":21,"reasons":["conf:1","win:tail","crowd:brand"],"computed_at":"2026-10-04T02:57:23Z"},"pay":null,"html_url":"https://alion.io/job/ericsson-it-data-engineer","json_url":"https://alion.io/job/ericsson-it-data-engineer.json","meta":{"generated_at":"2026-10-04T02:57:23Z","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":4469,"day_limit":5000,"remaining_today":531,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}