{"id":1151170,"url":"https://alion.io/job/harman-international-data-engineer-2","title":"Data Engineer","company":{"id":6265,"name":"HARMAN International","domain":"harman.com","url":"https://alion.io/company/harman-international","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":120,"ghost_share":0,"stale_share":0.925,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","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":["Budapest, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":77000,"period":"year","method":"role_country_seniority_unknown","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"ChatGPT","optional":true},{"name":"Copilot","optional":true},{"name":"Delta Lake","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"Rest API","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-07-30T00:00:00Z","employer_posted_date":"2026-07-30","last_verified_at":"2026-10-27T14:29:12Z","board_verified":true,"closed_at":null,"days_open":89,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":89},"description":"HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.\nA Career at HARMAN\nAs a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.\nAbout the Role\nAs a Data Engineer, you will serve as the critical link between global business automotive operations and scalable data platform execution. Your primary focus will be translating complex operational needs into robust, reusable data pipelines that power analytics, BI, and AI use cases.\nYou will act as a full-stack data engineer, working across the lifecycle of data-ingestion, transformation, modeling, and delivery. Unlike role-specific analytics development, your solutions will serve multiple downstream consumers, requiring a strong focus on scalability, reliability, and reusability.\nThis role requires a hybrid mindset: deep understanding of business processes in Manufacturing, Procurement, and SCM, combined with strong engineering discipline to build high-performance, production-grade data pipelines.\n1. Business Analysis & Requirements Translation\nStakeholder Partnership:\nWork with business users, analysts, and developers to understand data requirements across multiple use cases.\nTechnical Translation:\nTranslate business needs into scalable data models, pipeline logic, and data integration requirements.\nProcess Alignment:\nDevelop a deep understanding of operational workflows to ensure that data pipelines accurately represent business processes and can support diverse analytical needs.\n2. Data Pipeline Design & Development\nPipeline Design:\nDesign and implement scalable data pipelines for ingestion, transformation, and delivery of data across multiple domains.\nReusability & Scalability:\nBuild pipelines that serve multiple consumers (BI, AI, data products), ensuring flexibility and extensibility.\nPerformance Optimization:\nOptimize data processing for large-scale datasets, ensuring efficient and reliable execution.\n3. Data Engineering & Modeling\nSQL & Data Transformation:\nWrite efficient SQL queries, transformations, and data processing logic to structure data for downstream consumption.\nData Modeling:\nDesign and maintain data models aligned with enterprise standards (e.g., layered/medallion architecture).\nData Product Enablement:\nDevelop and contribute to shared, governed data products that act as single sources of truth across the organization.\nData Quality:\nImplement validation, testing, and monitoring to ensure data accuracy, consistency, and reliability at scale.\n4. Deployment & Lifecycle Management\nPromotion & Release:\nManage deployment of pipelines and data solutions across Dev → QA → Production environments, ensuring stability and reliability.\nSource Control:\nUse Git to manage pipeline code, configurations, and versioning following team standards.\nMonitoring & Maintenance:\nMonitor pipeline performance, troubleshoot failures, and continuously improve reliability and efficiency.\n5. Collaboration & Standards\nTeam Alignment:\nWork closely with the System Architect to ensure pipelines align with architectural patterns, scalability requirements, and security standards.\nCross-Functional Collaboration:\nEnable downstream teams (BI, AI, analytics) by delivering high-quality, well-structured data.\nPeer Review:\nParticipate in code reviews to ensure consistency, maintainability, and adherence to best practices.\n6. AI-Assisted Development & Automation\nAI-Assisted Coding:\nUse AI tools to accelerate development of data pipelines, transformations, and documentation.\nAutomation:\nAutomate repetitive data engineering tasks such as data validation, transformation generation, and pipeline monitoring.\nContinuous Upskilling:\nDevelop expertise in modern data engineering practices, including distributed processing and AI-enabled workflows.\nWhat Success Looks Like\nData pipelines are robust, scalable, and reusable across multiple use cases\nData products provide consistent, trusted, and governed data\nSystems handle large volumes of data efficiently and reliably\nDownstream teams (BI, AI) can build faster using high-quality data foundations\nData issues are proactively identified and resolved\nWhat You Need to Be Successful\nStrong SQL and data transformation skills\nExperience with data pipelines and ETL/ELT frameworks\nUnderstanding of data modeling and layered architectures (e.g., Medallion)\nExperience with large-scale data processing (e.g., Spark, Databricks) is a plus\nFamiliarity with cloud platforms (AWS, Azure) is a plus\nExperience with Git and modern development practices\nStrong problem-solving and performance optimization skills\nUnderstanding of APIs and data integration patterns\nWorking knowledge of Python for data processing, automation, and pipeline development\nBonus Points if You Have\nExperience with Databricks, Spark, or distributed data processing frameworks\nExperience working with cloud platforms such as Azure or AWS\nExperience building data pipelines using Python\nFamiliarity with Delta Lake, Medallion Architecture, or modern Lakehouse concepts\nExperience working with manufacturing, supply chain, procurement, or operational data\nExposure to BI and analytics tools such as Power BI, Qlik, Tableau, or similar platforms\nFamiliarity with REST APIs, JSON, and integrating external data sources\nExperience using AI-assisted development tools such as GitHub Copilot, ChatGPT, or similar coding assistants\nUnderstanding of data quality, validation, and testing concepts\nExperience with Agile development methodologies and collaborative software development practices\nBachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related field\nHARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard torace, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.","description_format":"text","description_chars":6720,"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":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Headphones & Audio","Car Electronics","Automotive Components","Automotive Software"],"lifecycle":[{"event":"open","at":"2026-09-23T17:44:37Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.238,"p_room":0.28,"age_days":89,"expected_fill_days":33,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/harman-international-data-engineer-2","json_url":"https://alion.io/job/harman-international-data-engineer-2.json","meta":{"generated_at":"2026-10-27T18:49:18Z","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":9096,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"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":6265},"rest":"https://alion.io/mcp/rest/get_company?id=6265"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fharman-international-data-engineer-2"},{"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%2Fharman-international-data-engineer-2"},{"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%2Fharman-international-data-engineer-2"},{"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/harman-international-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fharman-international-data-engineer-2"}]}