{"id":847577,"url":"https://alion.io/job/sedona-senior-data-engineer-azure","title":"Senior Data Engineer (Azure)","company":{"id":689381,"name":"Sedona Digital","domain":"sedona.digital","url":"https://alion.io/company/sedona-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["RO","RS"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":99000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Active Directory","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Least Privilege","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-03-04T00:00:00Z","employer_posted_date":"2026-03-04","last_verified_at":"2026-11-05T01:15:10Z","board_verified":true,"closed_at":null,"days_open":246,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":245},"description":"Accelerate your development and exposure to high-performance data platforms and cloud infrastructure. Join Sedona Digital, a fast-growing scale-up with the ambition to be recognised as one of the leading technology companies in Romania.\nOur global client base needs builders, engineers who enjoy designing and implementing scalable data platforms, have deep expertise in cloud data technologies, and take pride in delivering reliable, well-governed solutions.\nAt Sedona, we:\nObsess about our customers \nBuild robust, scalable technical solutions\nCreate an open, collaborative culture \nInvest in learning and long-term careers \nWe are looking for a Senior Data Engineer with strong experience in Azure-based data platforms, including data lake and data warehouse architectures, orchestration with Azure Data Factory, and analytics using Azure Synapse and Power BI. The ideal candidate is comfortable working independently, making sound technical decisions, and supporting clients as they modernise their data estates.\nResponsibilities:\nDesign, build, and maintain end-to-end data pipelines in Azure using Azure Data Factory, Azure Blob Storage / ADLS, and Azure Synapse Analytics. \nImplement and maintain Azure-based data lakes, including raw, staged, and curated layers, following agreed standards and best practices. \nDesign and optimise Azure Synapse Analytics environments, including table structures, distribution strategies, partitioning, and performance tuning. \nDevelop ingestion patterns for data sourced from on-premises SQL Server, Azure SQL Database, other relational databases, and Cosmos DB. \nBuild secure and scalable orchestration workflows using Azure Data Factory for batch-oriented data processing. \nImplement secure authentication and access control using Azure Active Directory, ensuring proper role-based access and least-privilege principles. \nDevelop reusable, maintainable transformation logic aligned with agreed data modelling and semantic-layer standards. \nSupport analytical workloads through integration with Azure Analysis Services and downstream consumption in Power BI. \nMonitor, troubleshoot, and improve pipeline reliability, data quality, and platform performance. \nCollaborate with architects, analysts, and client stakeholders to translate business requirements into scalable Azure data solutions. \nContribute to defining and enforcing data engineering standards, security practices, and governance patterns. \nSupport clients during platform adoption, knowledge transfer, and handover. \nRequirements\nBachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). \n5+ years of experience in data engineering, ETL/ELT development, and data integration. \nStrong hands-on experience with Microsoft Azure, including Azure Data Factory, Azure Blob Storage / ADLS, Azure Synapse Analytics, and Azure SQL. \nSolid understanding of data lake and data warehouse architectures. \nExperience designing and operating batch-oriented data pipelines at scale. \nStrong SQL skills and experience with data modelling (facts, dimensions, semantic layers). \nExperience with Python or similar languages for data processing and automation. \nFamiliarity with Azure Active Directory and secure authentication patterns. \nAbility to work independently, manage changing priorities, and make pragmatic technical decisions. \nStrong communication skills in English, with the ability to explain technical concepts clearly. \nA relevant Microsoft Azure certification is required, or the successful candidate will complete one within the probation period. \nPreferred Skills (Nice to Have)\nExperience with Azure Analysis Services, Power BI semantic models, or enterprise BI architectures. \nExposure to Synapse serverless SQL, lakehouse-style patterns, or hybrid data platforms. \nFamiliarity with Databricks or Snowflake and ability to compare architectural trade-offs. \nUnderstanding of CI/CD practices for Azure data platforms. \nExperience working in regulated or security-sensitive environments. \nPrevious experience supporting discovery or early-phase data platform design engagements. \nBenefits\nRemote Work Flexibility \nOpportunity to work in a rapidly growing scale-up organisation \nExposure to complex, global client engagements \nTraining on market trends and client needs \nOngoing learning and development opportunities \nCompetitive compensation package \nFun budget for team events","description_format":"text","description_chars":4423,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All 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