{"id":3403439,"url":"https://alion.io/job/amazon-sde-ii-economic-decision-science","title":"SDE II, Economic Decision Science","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":4556,"ghost_share":0,"stale_share":0.887,"repost_share":0.002,"time_to_fill_p50_days":23,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":167000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-28T15:17:34Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-30T10:50:58Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Economic Decision Science is Amazon’s Central Economics team in Europe. Our goal is to improve outcomes for customers by optimizing and automating business decisions. We work at the intersection of Economics, Machine Learning, Statistics, and Data Engineering, a highly engaging space where ideas directly shape how our stores operate and evolve.\nWe are a high-impact, autonomous, cross-functional team (Economists / Engineers / Product Managers ) focusing on long-term, ambiguous and challenging problems. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. Our charter is company-wide, so we frequently collaborate with business, tech and science stakeholders across Europe and globally.\nAs an SDE, you’ll help us build our Factory of Economics, where economists can operate independently and in parallel, unconstrained by tech bottlenecks or engineering bandwidth. The goal: no software rewrites, predictable time to production, early integration, and fast iteration. You’ll work with tools such as DBT, Python, Apache Airflow, Spark, Iceberg; AWS services like Lambda, Bedrock, and SageMaker, containers, and whatever adds the most value. You’ll design tools that are simple, semantic, and scalable. As you gain familiarity with the domain, you’ll help define and lead the technical direction of economic projects.\nKey job responsibilities\n* Build and extend the Factory of Economics: automate and accelerate data pipelines, platforms, and tools, including ML and LLM capabilities, to scale innovative science products.\n* Collaborate with economists to shape technical project requirements and direction.\n* Be a technical leader that is not afraid to challenge the norms and innovate.\n* Continually improve our systems and improve iteration speed, for yourself or others.\n* Contribute to long-term strategy for data infrastructure, best practices, and operational excellence.\n* Dive deep into our tools to make well-informed integration and architecture decisions.\nAbout the team\n* AWS resources at our disposal, with no red tape. We invest to add value. Fast.\n* Zero-ops mindset. We build in a way we can focus on delivery, not maintenance.\n* No on-call. No phone paging.\n* Lean and pragmatic: No stand-ups or sprints; we work towards clear, business-aligned quarterly goals.\n* Greenfield projects and a focus on simple solutions for complex domains.\nBasic qualifications\n- Experience (non-internship) in professional software development\n- Experience in professional, non-internship software development\n- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design\nPreferred qualifications\n- Bachelor's degree in computer science or equivalent\n- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations\nAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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