{"id":3067339,"url":"https://alion.io/job/amazon-data-engineer-i-eu-amxl-bit","title":"Data Engineer I, EU AMXL BIT","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":83,"open_postings":4485,"ghost_share":0,"stale_share":0.89,"repost_share":0.001,"time_to_fill_p50_days":18,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Luxembourg City, Luxembourg"],"countries":["LU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CloudFormation","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"DataStage","optional":true},{"name":"Hadoop","optional":true},{"name":"Informatica","optional":true},{"name":"Spark","optional":true},{"name":"SSIS","optional":true}],"status":"live","first_seen_at":"2026-10-22T08:23:08Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T01:43:51Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Amazon Extra Large (AMXL) is looking for a customer focused, analytically and technically skilled Data Engineer to drive effective performance measurement and management, innovation and execution. \nAs a Data engineer on this team, you will have the exciting opportunity to contribute to one of the few E2E Organizations within Amazon. You will collaborate closely with program managers, engineers, analysts, and business teams to design and implement solutions tailored to their needs, requiring creativity and strong problem-solving skills. You will play a key role in developing data engineering roadmaps aimed at building platforms to address complex challenges in efficient and scalable ways. In this role, you will leverage your analytical skills to work backwards from customer problems and design solutions that meet their objectives.\nAdditionally, you will be responsible for designing, developing, and operating a data service platform using Python, Airflow, and SQL to build the various ETL, analytics, and data quality components. You’ll automate deployments using AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit (CDK), and AWS Cloud Formation. You will design and implement complex data models and build the end-to-end infrastructure for reports and dashboards to be created by our customers. You will work with AWS services like Redshift, Glue, S3, IAM, CloudWatch, and more.\nKey job responsibilities\nWork with external data partners to establish AMXL connections to ingest various datasets\nInterface with other technology teams to extract, transform, and load data from a wide variety of data sources using different AWS products such as Lambda, Glue, EMR, Kinesis Firehose\nMaintain and enhance existing data pipelines\nCreate extensible designs and easy to maintain solutions with the long term vision in mind\nInterface with cross functional teams, gathering requirements and delivering data solutions\nImprove tools, processes, scale existing solutions, create new solutions as required based on team and stakeholder needs\nBasic qualifications\n- Experience in data engineering\n- Experience with data modeling, warehousing and building ETL pipelines\n- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)\n- Experience with one or more scripting language (e.g., Python, KornShell)\nPreferred qualifications\n- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR\n- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.\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.\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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