{"id":1584563,"url":"https://alion.io/job/scor-data-engineer-2","title":"Data Engineer","company":{"id":1816594,"name":"SCOR","domain":"scor.com","url":"https://alion.io/company/scor-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":91,"open_postings":40,"ghost_share":0,"stale_share":0.15,"repost_share":0,"time_to_fill_p50_days":80,"computed_at":"2026-10-03T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bucharest, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":72000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1536},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"MS SQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"GitLab","optional":true}],"status":"live","first_seen_at":"2026-07-24T08:42:28Z","employer_posted_date":"2026-07-24","last_verified_at":"2026-10-04T00:07:32Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"We are seeking an experienced and highly motivated Data Engineer to design, build, and operate reliable data pipelines and analytics-ready datasets that power reporting and business decision-making. In this role, you will develop and optimize ETL/ELT processes using Python, Azure Databricks, and SQL, integrating data across platforms including Microsoft SQL Server and PostgreSQL. You will partner with analysts, data consumers, and engineering teams to translate business requirements into scalable, well-governed data products, applying strong engineering practices around testing, monitoring, performance, and data quality, while using AI-assisted development tools and generative AI to enhance productivity and solution quality. We are looking for someone with hands-on experience integrating AI capabilities into enterprise data workflows and a strong understanding of responsible AI principles, including data privacy, fairness, and explainability.\n Key duties and responsibilities:\nData Pipeline Development (ETL/ELT): Design, build, and maintain batch and/or incremental pipelines using Python, Azure Databricks, and SQL to ingest, transform, and curate data for analytics and downstream applications.\n\nOrchestration, Scheduling & Reliability: Automate and schedule pipeline execution, implement idempotent processing, and build monitoring/alerting and operational runbooks to ensure reliable, observable data products.\n\nProduction Operations Support: Own day-to-day production support for data pipelines and reporting workflows, including incident triage and resolution, root-cause analysis, and proactive monitoring to meet SLAs and ensure data reliability.\n\nDatabricks Engineering: Develop and optimize notebooks and jobs; implement reusable libraries, parameterized workflows, and cluster/job configurations; apply performance tuning techniques (partitioning, caching, query optimization) as appropriate.\n\nSQL performance optimization: Optimize schemas, tables, views, and SQL logic across Microsoft SQL Server and PostgreSQL. Troubleshoot performance issues and ensure data integrity through constraints, indexing, and query tuning.\n\nData Quality & Controls: Define and implement validation rules, reconciliation checks, and automated tests to detect anomalies, enforce SLAs, and improve trust in reporting and analytics outputs.\n\nAI Enablement & Productivity: Use AI-assisted development tools and generative AI to improve engineering productivity, data pipeline quality, and documentation while maintaining strong validation and governance practices.\n\n Required experience & competencies\n5+ years in Data engineering roles.\nStrong Python for ETL, automation, and data transformations.\nHands-on SQL Server development: schemas, procedures, indexing, optimization.\nExperience with Azure data services and Databricks operations.\nProven experience with AI-assisted software development tools and workflows.\nDemonstrated ability to use generative AI to improve developer productivity and solution quality.\nSolid understanding of responsible AI principles, including data privacy, fairness, and explainability.\nHands-on experience integrating AI capabilities into enterprise data or analytics applications.\nDegree in Computer Science, Management of Information Systems, or a related analytical field or equivalent experience.\nNice-to-haves:\nAzure Data Factory\nExperience with data quality testing and validation frameworks.\nFamiliarity with Lakehouse concepts and Delta tables.\nExperience with PostgreSQL, including query and schema optimization.\nCI/CD for data pipelines using Azure DevOps or Gitlab or similar.\nAbility to integrate AI/ML model endpoints into data platforms and pipelines using Azure ML or similar.\nAdvanced SQL for analytics, modeling, and performance tuning.","description_format":"text","description_chars":3789,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Financial Services","Reinsurance"],"lifecycle":[{"event":"open","at":"2026-10-01T13:58:59Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-03T21:09:13+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":47,"band":"ok","label":"Likely open","p_open":1,"p_active":0.78,"p_room":0.6,"age_days":70,"expected_fill_days":80,"reasons":["conf:11","velocity","win:late","crowd:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/scor-data-engineer-2","json_url":"https://alion.io/job/scor-data-engineer-2.json","meta":{"generated_at":"2026-10-04T00:17:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":242,"day_limit":5000,"remaining_today":4758,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}