2 ΠΌΠ΅ΡΡΡΠ° Π½Π°Π·Π°Π΄
Data Engineer (Microsoft Fabric)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Data Engineer (Microsoft Fabric) (SQL Server/SSIS and cloud data platforms): Modernizing BI and DWH environments by analyzing legacy ETL flows, dependencies, data lineage, and target architecture with an accent on data modelling, cloud migration, and hands-on implementation. Focus on designing data pipelines and marts, establishing CI/CD practices, and providing technical leadership to junior Data Engineers.
Location: Stockholm, Sweden; flexible hybrid working model
Company
AB is a Swedish IT consulting firm delivering IT solutions, software development, recruitment, and technology consulting services across Sweden.
What you will do
- Lead discovery and analysis of existing data warehouse and business intelligence environments.
- Analyze complex ETL flows, stored procedures, views, tables, dependencies, and data lineage in legacy SQL Server and SSIS environments.
- Assess legacy solutions and contribute to the target architecture and modernization roadmap.
- Design and implement modern data solutions using Microsoft Fabric, Azure Synapse, Databricks, Snowflake, or similar cloud platforms.
- Develop and maintain data models, data pipelines, and data marts, including technical documentation and design decisions.
- Collaborate with Architects, BI Developers, Business Experts, and Data Engineers while providing technical guidance to junior engineers.
Requirements
- Several years of experience as a Senior Data Engineer.
- Very strong SQL and T-SQL skills, particularly in SQL Server environments.
- Proven experience with SSIS and traditional Microsoft DWH/BI environments.
- Experience analyzing ETL flows, stored procedures, dependencies, and data lineage.
- Documented experience modernizing or migrating legacy data platforms to cloud-based solutions, with hands-on experience in at least one of Microsoft Fabric, Azure Synapse, Databricks, or Snowflake.
- Strong knowledge of data modelling, including Kimball, Data Vault, star schemas, and data marts, plus experience with Git, CI/CD, and structured software development practices.
Culture & Benefits
- Flexible hybrid working model.
- Competitive compensation and comprehensive benefits package.
- Supportive environment focused on continuous learning, growth, and professional development.
- Collaboration with cross-functional teams on technology and robotics projects.
- 25 days of annual leave.
- Annual wellness allowance of 3,500 SEK.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β