Own source-to-warehouse pipelines on Microsoft Fabric, harden the data quality layer, establish engineering patterns, mentor mid-level Data Engineers, influence data architecture, maintain a dbt-style semantic layer, meet pipeline SLAs, optimize compute and storage, and maintain the data dictionary across bronze, silver, gold, and near-real-time layers.
Responsibilities
- Design, build, and operate ingestion pipelines from ERP, CRM, MT5, PSPs and banks, Everflow, BigQuery, and other sources into Microsoft Fabric.
- Own medallion architecture pipeline transformations, including SCD Type 2 dimensional modeling for customer, broker server, product, and partner dimensions.
- Maintain the dbt-style semantic layer feeding Power BI and reporting so KPI definitions remain aligned.
- Set and meet pipeline SLAs for near-real-time and T+1 reporting and publish the Known Issues register for missed SLAs.
- Optimize Fabric compute and storage costs, monitor capacity headroom, and recommend right-sizing.
- Maintain the data dictionary across bronze, silver, gold, and near-real-time layers and contribute to the KPI Dictionary.
- Mentor the team on Fabric patterns, reconciliation discipline, and code review practices.
Requirements
- 5+ years in data engineering, including at least 2 years on a modern cloud data platform such as Microsoft Fabric or Databricks.
- Strong SQL, including advanced window functions, query optimization, execution-plan analysis, and production pipelines at scale.
- Hands-on dimensional modeling experience with Kimball patterns, SCD Type 2, and fact-versus-dimension tradeoffs.
- Python pipeline development and experience with an orchestration or transformation framework such as Fabric Data Pipelines or Azure Data Factory.
- Experience operating streaming or near-real-time layers such as KQL, Eventhouse, or Kafka.
- Strong reconciliation and data-quality discipline with end-to-end ownership across multiple source systems.
- Git, code-review fluency, and disciplined documentation habits.
- Professional written and spoken English.
Benefits
- Global career development in an international environment.
- Training, certifications, continuous learning, and cross-functional projects.
- Supportive and diverse team culture with opportunities for connection and collaboration.
- Competitive salary and performance bonuses.