{"id":3471985,"url":"https://alion.io/job/luxoft-power-bi-engineer","title":"Power BI Engineer","company":{"id":171185,"name":"Luxoft","domain":"luxoft.com","url":"https://alion.io/company/luxoft","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"A","score":88,"open_postings":8,"ghost_share":0,"stale_share":0.625,"repost_share":0.125,"time_to_fill_p50_days":20,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Analytics","role_family":"Analytics","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":"structured","locations":["Romania"],"countries":["RO"],"hiring_countries":["RO"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":70000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3468},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-11-03T12:12:48Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Project description\nWe are seeking a highly skilled and experienced Senior Power BI Developer to join our team. The ideal candidate will have strong expertise in Microsoft Power BI, Snowflake, ETL. This role requires a professional who can design, develop, and maintain enterprise-grade reporting, analytics, and process automation solutions while collaborating closely with business stakeholders and technical teams.\nResponsibilities\n Building end-to-end Power BI reports and dashboards.\n Creating data models and managing relationships between multiple data sources.\n Understanding star schema and dimensional modeling concepts.\n Developing DAX measures, calculated columns and KPIs.\n Performing data transformation and cleansing using Power Query (M Language).\n Creating interactive visualizations and storytelling dashboards.\n Report optimization and performance tuning - FlowViz\nSKILLS\nMust have\nStrong hands-on Power BI experience (5+ years)\n Snowflake architecture and core concepts.\n Loading and ingesting data from different sources (Including Raw data)\n Data transformation and preparation within Snowflake.\n Understanding of ETL/ELT processes.\n Working with structured and semi-structured data (JSON, Parquet, etc.).\n Performance optimization basics (clustering, partitioning concepts, query performance).\n Writing complex queries using:o Joins (Inner, Left, Right, Full)\no Subqueries\no CTEs (Common Table Expressions)\no Window functions\no Aggregations and grouping\no Case statements\n\n Query optimization and troubleshooting.\n Data quality validation and reconciliation.\n Ability to transform, clean and prepare data for reporting.\nNice to have\nAzure DevOps experience or similar tools experience.\nAbility to identify manual processes and implement automation solutions that improve efficiency, data quality and reporting reliability\nResponsibilities\nBuilding end-to-end Power BI reports and dashboards.\nCreating data models and managing relationships between multiple data sources.\nUnderstanding star schema and dimensional modeling concepts.\nDeveloping DAX measures, calculated columns and KPIs.\nPerforming data transformation and cleansing using Power Query (M Language).\nCreating interactive visualizations and storytelling dashboards.\nReport optimization and performance tuning - FlowViz\nSkills\nStrong hands-on Power BI experience (5+ years)\nSnowflake architecture and core concepts.\nLoading and ingesting data from different sources (Including Raw data)\nData transformation and preparation within Snowflake.\nUnderstanding of ETL/ELT processes.\nWorking with structured and semi-structured data (JSON, Parquet, etc.).\nPerformance optimization basics (clustering, partitioning concepts, query performance).\nWriting complex queries using: \no Joins (Inner, Left, Right, Full)\no Subqueries\no CTEs (Common Table Expressions)\no Window functions\no Aggregations and grouping\no Case statements\nQuery optimization and troubleshooting.\nData quality validation and reconciliation.\nAbility to transform, clean and prepare data for reporting.\nExperience\nStrong hands-on Power BI experience (5+ years)\nSnowflake architecture and core concepts.\nLoading and ingesting data from different sources (Including Raw data)\nData transformation and preparation within Snowflake.\nUnderstanding of ETL/ELT processes.\nWorking with structured and semi-structured data (JSON, Parquet, etc.).\nPerformance optimization basics (clustering, partitioning concepts, query performance).\nWriting complex queries using: \no Joins (Inner, Left, Right, Full)\no Subqueries\no CTEs (Common Table Expressions)\no Window functions\no Aggregations and grouping\no Case statements\nQuery optimization and troubleshooting.\nData quality validation and reconciliation.\nAbility to transform, clean and prepare data for reporting.\nAzure DevOps experience or similar tools experience. \nAbility to identify manual processes and implement automation solutions that improve efficiency, data quality and reporting 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