Senior Data Engineer

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.