{"id":3833982,"url":"https://alion.io/job/trendyol-data-engineer","title":"Data Engineer","company":{"id":49289,"name":"Trendyol","domain":"trendyol.com","url":"https://alion.io/company/trendyol","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":86,"open_postings":14,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Istanbul, Turkey"],"countries":["TR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"AI Agents","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Flink","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"RAG","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-05T15:08:48Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-06T23:19:26Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the Role\n As a Data Engineer, you will act as the bridge between raw data sources and actionable business intelligence. You will develop robust batch and real-time data pipelines, contribute to modern data architectures, and build data platforms. You will work closely with data scientists, analysts, product teams, and other engineering teams to build high-quality data products and platforms. You will take end-to-end ownership of your solutions, ensuring their reliability, scalability, performance, and cost efficiency. \n\nResponsibilities\nDesign, build, and maintain scalable batch and real-time data pipelines and processing systems.\nDesign, build, and evolve cloud-native data platforms that enable data ingestion, processing, analytics, and observability across the organization.\nBuild APIs and data services to expose processed data to downstream applications and teams.\nDevelop data models and warehousing solutions that support analytics, reporting, and downstream applications.\nCollaborate with data scientists, analysts, product teams, and other engineering teams to deliver trusted data products.\n Monitor, optimize, and maintain data pipelines and processing systems to ensure high performance, reliability, scalability, and cost efficiency.\nTake end-to-end ownership of data services and pipelines, including deployment, monitoring, troubleshooting, and incident resolution.\nExpected Qualifications\nBachelor's degree in Computer Science, Engineering, MIS, Mathematics, or a related field.\n2+ years of experience as a Data Engineer, Data Developer, or in a similar data-focused role.\nSolid understanding of distributed systems, parallel processing, and fault-tolerant architectures.\nStrong software engineering skills in at least one of Python, Scala, or Java (Go is a plus).\nHands-on experience with ETL/ELT processes and big data processing frameworks such as Spark or Flink.\nAdvanced SQL skills and experience with structured and semi-structured data formats.\nStrong understanding of data modeling concepts and analytical data structures.\nExperience in developing cloud-native data platforms and modern data architectures, including data lakes, data warehouses, and lakehouses.\nExperience with streaming technologies, Change Data Capture (CDC), and workflow orchestration.\nFamiliarity with AI/ML data infrastructure, LLM-based applications, RAG architectures, and semantic grounding for AI agents.\nExperience with Docker, Kubernetes, CI/CD, and Infrastructure as Code.\nExperience with automated testing, data quality validation, monitoring, and observability practices.\nStrong problem-solving skills and clear written and verbal communication in English.","description_format":"text","description_chars":2677,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Turkey","iso":"TR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["E-commerce Platforms","Marketplaces"],"lifecycle":[{"event":"open","at":"2026-11-05T20:23:08Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely 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