Data Engineer

🔥 3 minutes ago

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PartnerOne

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏢 Enterprise

☁️ SaaS

💳 Fintech

Enterprise • SaaS • Fintech

PartnerOne is one of the fastest growing software groups in the world, providing solutions that enhance the operational efficiency of the largest enterprises globally. The company specializes in acquiring software firms and investing in their development to create more robust, effective, and agile software solutions. PartnerOne is trusted by 80% of the world's largest companies, including the top US and European banks, defense contractors, and media conglomerates, focusing on delivering unparalleled customer support and innovative technologies.

📋 Description

• **Data Pipeline Development:** • - Design and build ETL pipelines using Microsoft Fabric (Dataflow Gen2, Notebooks, or equivalent tools) • - Write optimized SQL queries and transformations for data ingestion from designated source systems • - Apply data quality rules and validation logic at each pipeline stage • - Implement incremental loads and manage refresh schedules for performance • - Escalate to Lead for architectural decisions or complex transformation patterns • **Data Quality & Validation:** • - Define and implement data quality checks at ingestion, transformation, and output stages • - Perform ongoing data validation to ensure pipeline outputs align with business logic and source system expectations • - Identify, document, and escalate data quality issues with root cause analysis • - Maintain data quality dashboards and SLA monitoring • - Support UAT for new data sources or transformation logic • **Transformation & Modeling:** • - Build and maintain data transformations using Power Query, SQL, or Python as appropriate • - Develop dimensional models and define aggregation logic aligned with analytics requirements • - Optimize data structures for performance and maintainability • - Document transformation logic, lineage, and assumptions per team standards • - Collaborate with Lead to define semantic • **Operational Support:** • - Troubleshoot pipeline failures and performance issues; coordinate resolution with IT/Engineering • - Respond to data discrepancy reports from business users and analysts • - Maintain documentation of data sources, data dictionaries, and transformation specifications • - Support capacity planning and optimization of Fabric environments and pipelines models and calculated metrics

🎯 Requirements

• **Technical** • - **Advanced SQL** - query optimization, window functions, performance tuning, debugging complex transformations • - **Proficient with Microsoft Fabric** - (Dataflow Gen2, Notebooks, Lakehouse) OR equivalent ETL tools (Python, dbt, Talend, Informatica) • - Strong understanding of relational database design and dimensional modeling • - **Power Query / M** - complex data shaping, merging, error handling, and transformation logic • - **Python or similar scripting language** - data manipulation, pipeline automation • - **Git/version control basics** - able to collaborate on code and track changes • - **Data quality and testing frameworks** - unit tests, assertions, validation rules • **Non-Technical** • - Ability to interpret business requirements and design efficient data solutions • - Data governance mindset - understands data lineage, documentation, and quality standards • - Proactive about identifying edge cases and potential data issues • - Mortgage/lending domain familiarity preferred; willingness to learn domain required • - Works effectively within defined standards and escalates architectural questions to Lead • - Able to balance speed with quality; advocates for technical excellence