{"id":2734026,"url":"https://alion.io/job/siemens-data-context-engineer-mfd","title":"Data Context Engineer (m/f/d)","company":{"id":131,"name":"Siemens","domain":"siemens.com","url":"https://alion.io/company/siemens","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":4,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":82000,"period":"year","method":"role_country_seniority_unknown","sample_n":27},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"dbt","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Neo4j","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Data Vault","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Edge AI","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-10-16T18:34:37Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T08:07:32Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Siemens Global Business Services (GBS) enables Siemens units worldwide and external customers to accelerate their business transformation into a sustainable and digital future.\n Our portfolio comprises services driven by expertise and the latest technology - with a strong focus on innovation and digitalization in areas like Finances, Business Administration, Human Resources, Procurement, Sales and After-Sales.\n In our GBS Western Europe and Africa Hub we are already more than 1500 connected people, from over 50 different nationalities spread across 14 countries. If you value diversity and innovation, you’ll feel right at home here!\n Discover our purpose, culture, and what makes GBS unique!\n Are you ready to be part of the change? Come join us! ⭐\n The GBS Digital Solutions (DS) Enterprise Architecture team, part of Governance, Cybersecurity & Integration (GCI), sets the architecture direction for GBS. We enable, facilitate and govern, working with the business lines and delivery teams rather than apart from them. Our goal is simple: decide faster, and apply the right technology to each use case.\nWhat role will you play?\nBuild and scale enterprise-grade data transformation pipelines and semantic models to deliver reliable, governed analytical datasets.\nDesign, implement, and maintain semantic layers and knowledge graph structures that translate complex industrial domain concepts into machine-interpretable schemas for AI models and business stakeholders.\nBridge traditional business intelligence and modern AI context retrieval, ensuring seamless data flow between core analytics platforms and AI agent frameworks.\nDevelop automated data pipelines, schema tests, and governance workflows to ensure data quality, semantic integrity, and consistency across both BI reports and AI applications.\nCollaborate with data engineering and cloud infrastructure teams to architect performant, cost-effective data flows connecting operational systems, data lakes, and AI services.\nDesign context-retrieval mechanisms and semantic overlays that ground Large Language Models (LLMs) and predictive models in validated enterprise and product lifecycle data.\nWork closely with domain specialists, analytics engineers, and AI practitioners to standardize business metrics and taxonomies, accelerating the enterprise transition toward AI-augmented operations. \n What do you bring?\nDegree in Computer Science, Data Science, Information Systems, Software Engineering, or a related technical field.\nProven track record in data engineering and analytics engineering, with deep hands-on expertise in Snowflake, dbt, and AWS cloud data services.\nStrong proficiency in advanced SQL and Python for data transformation, automation, and API integration.\nHands-on experience developing enterprise semantic models and interactive dashboards in Power BI, with a clear understanding of DAX, data modeling, and enterprise reporting architectures.\nWorking knowledge of modern AI/ML concepts, including Retrieval-Augmented Generation (RAG), vector databases, semantic search, or knowledge graphs (such as RDF, OWL, Neo4j, or graph traversal techniques) (nice-to-have).\nDemonstrated experience in data modeling methodologies (dimensional modeling, semantic layers, data vault) and CI/CD best practices for data (version control with Git, automated testing with dbt).\nExperience or strong interest in industrial data domains, IoT telemetry, or Product Lifecycle Management (PLM) systems is a plus.\nAbility to act as a bridge between traditional data analytics teams and cutting-edge AI development teams.\nExcellent communication skills with fluency in English. \nWhat We Offer:\n Belong & Innovate: Work in diverse teams where every idea matters and innovation grows through collaboration and trust.\n Flexibility that Works: Hybrid model, flexible hours, and a home office budget - because balance fuels performance.\n Health & Well-being: Comprehensive health insurance, mental health support, and active sports communities to keep you feeling your best.\n Grow Without Limits: Access world-class learning platforms, mentoring, and continuous development opportunities.\n Purpose & Perks: Contribute to sustainability and volunteer initiatives, enjoy partner discounts, and take advantage of our convenient shuttle service.\n Please attach your CV in English to your application.\n Create a better #TomorrowWithUs #Siemens\n Siemens is deeply committed to fostering a diverse and inclusive environment. We are proud to be an equal opportunity employer and strongly encourage applications from a wide array of talented individuals!","description_format":"text","description_chars":4606,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Health insurance","Home office"],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Rail Transport","Medical Imaging Systems","Building Automation & Controls","Manufacturing & Industrial Software"],"lifecycle":[{"event":"open","at":"2026-10-16T18:34:37Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":4,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/siemens-data-context-engineer-mfd","json_url":"https://alion.io/job/siemens-data-context-engineer-mfd.json","meta":{"generated_at":"2026-10-17T11:08:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14504,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":131},"rest":"https://alion.io/mcp/rest/get_company?id=131"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsiemens-data-context-engineer-mfd"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsiemens-data-context-engineer-mfd"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsiemens-data-context-engineer-mfd"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/siemens-data-context-engineer-mfd\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsiemens-data-context-engineer-mfd"}]}