{"id":3460504,"url":"https://alion.io/job/ntt-data-romania-senior-sql-data-warehouse-engineer","title":"Senior SQL & Data Warehouse Engineer","company":{"id":4401319,"name":"NTT DATA Romania","domain":"nttdata.ro","url":"https://alion.io/company/nttdata-ro","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"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":["Sibiu, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":68000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Azure Cosmos DB","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"Delta Lake","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Git","optional":true},{"name":"MS SQL","optional":true},{"name":"Power BI","optional":true},{"name":"PowerShell","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-29T13:41:22Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-01T11:04:13Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Who we are\nOur client is a world-leading reinsurance and risk management company, delivering comprehensive solutions across insurance, underwriting, and data-driven risk assessment. With a strong focus on innovation and long-term stability, they support clients in addressing complex risks and driving sustainable value in an ever-changing global landscape.\nWe are looking for a Senior Data Engineer with a strong focus on SQL, data modelling, and Azure-based data solutions. Around 80% of the role will be focused on SQL-related activities, while Databricks experience is considered a plus and can be developed over time. The role is ideal for someone with a strong SQL and data warehousing background who wants to further develop their expertise within the Azure data ecosystem. If this sounds like the right next step for you, hit Apply and let’s start the conversation!\nWhat you'll be doing\nDesign and develop robust data solutions with a strong focus on SQL and T-SQL\nDevelop, optimize, and maintain complex queries, data models, and database structures\nCreate solution designs for new features and translate them into technical User Stories\nDrive technical refinements together with Requirement Engineers and Product Owners\nDesign and maintain data models for data warehouse and transactional environments\nDevelop and optimize ETL processes and data pipelines using Azure technologies\nWork with Microsoft SQL Server and Azure-based data infrastructure\nPerform schema and data migrations\nAnalyze and optimize ETL and database performance\nConduct technical QA and ensure reliable, maintainable data solutions\nSupport planning activities and collaborate with development teams in an Agile environment\nApply DevOps and CI/CD practices using Azure DevOps and Git\nWhat you'll bring along\nBachelor’s degree in Computer Science, Information Technology, or a related field is preferred\nMinimum of 5-7 years of experience in Data Engineering or a comparable role\nStrong hands-on experience with SQL, T-SQL, and Microsoft SQL Server \nStrong knowledge of data modelling, including data warehouse and transactional concepts\nExperience designing, developing, and optimizing ETL processes and complex data flows\nGood knowledge of the Azure data engineering stack, including Azure Data Factory, Azure Data Lake, and Cosmos DB\nExperience with schema and data migrations\nWorking knowledge of Python and PowerShell\nExperience with Azure DevOps, Git, testing, and CI/CD practices\nStrong analytical and problem-solving skills\nAbility to independently design technical solutions and translate requirements into technical deliverables\nExperience working in Scrum / Agile environments\nExcellent command of both spoken and written English\nNice to Have\nExperience with Databricks and Delta Lake - not mandatory; 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