{"id":3745921,"url":"https://alion.io/job/veeam-software-analytics-engineer-data-management","title":"Analytics Engineer, Data Management","company":{"id":2260,"name":"Veeam Software","domain":"veeam.com","url":"https://alion.io/company/veeam-software","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":33,"ghost_share":0,"stale_share":0.727,"repost_share":0.03,"time_to_fill_p50_days":44,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bucharest, Romania"],"countries":["RO"],"hiring_countries":["RO"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-04T12:33:04Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-07T03:40:37Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.\nAbout the Role\nWe are seeking an Analytics Engineer to join our internal Data Management team. As an Analytics Engineer, you will be part of the team transforming and delivering data for our Data Science, Analytics, and Reporting team use. You will be responsible fordesigning, implementing, and maintainingour data marts, pipelines, and data processes. This role requires a blend of strong technical skills, analytical thinking, and an ability to understand and communicate technical solutions with business partners. \nWork model: full-remote from Romania\n\nWhat You’ll Do\nDesign, implement, and maintain scalable data marts and ETL/ELT processes using SQL or Python\nTransforming raw data from multiple sources into structured datasets for analysis and reporting\nCollaborate with data analysts, data scientists, and business stakeholders to understand their data needs and turn those requirements into well-defined data models\nBuild and orchestrate pipelines using Azure Data Factory and Databricks (Python notebooks and Spark SQL)\nDeliver and maintain recurring reporting datasets, including but not limited to Finance and Sales, such as quarterly business reviews and sales compensation\nImplement data quality checks and reconciliations so reported numbers can be trusted and traced back to their source\nOwn operational health of the AE team’s pipelines: job scheduling and dependencies, monitoring, alerting on late or stale data, and root-cause analysis when something breaks\nWork closely with our internal Data, Architecture, and DevOps teams on deployments, infrastructure, and platform standards\nDocument data flows, models, and processes clearly enough that a teammate can support them without you\nWhat You’ll Bring\n3+ years of experience in analytics engineering, data engineering, or BI engineering\nAdvanced SQL, including window functions, CTEs, complex joins, and query performance tuning\nPython for data pipeline work (PySpark or pandas)\nSolid understanding of dimensional modeling and slowly changing dimensions (SCD Type 2)\nExperience building data processes on a cloud platform (Azure preferred; AWS or GCP considered)\nExperience running pipelines in production: scheduling, monitoring, and troubleshooting failures, not just building them\nExperience delivering datasets for recurring business reporting where accuracy and deadlines matter\nAbility to explain technical trade-offs to non-technical stakeholders\nFluent English both spoken/written\nBachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent work experience\nWhat You’ll Get \n21 annual vacation days, additional days based on tenure, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares\nPrivate health, dental, and vision insurance for employees and dependents, including outpatient care, hospitalization, pregnancy monitoring, and psychology support\nMonthly lifestyle and daily meal benefits: 40 RON/day via Edenred and 600 RON/month through a flexible cafeteria platform\nLife insurance (2× annual gross salary), critical illness, and disability coverage, plus vision reimbursement\nFree access to Bookster library platform for borrowing your favorite books for free\nOpportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning\nPlease note: If an applicant is permanently located outside of the Romania, Veeam reserves the right to decline the application for this position. \n #LI-JS4\nVeeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.\nPersonal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing. \nBy submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. 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