À propos
JOB DESCRIPTION: Senior Data & Analytics Engineer (Microsoft Fabric & Power BI) Location: Remote / Hybrid Experience: 8-12 years (with deep hands-on delivery) Domain: Marketing Analytics, Business Intelligence, Data Platforms Role Overview We are seeking a hands-on Senior Data & Analytics Engineer to design, build, and operate scalable Microsoft Fabric-based analytics platforms that power enterprise marketing analytics, customer insights, and business intelligence. This role is not theoretical-you will be deeply involved in data ingestion, transformation, lakehouse modeling, semantic layer design, Power BI optimization, and production-grade pipeline orchestration. You will partner closely with marketing, growth, product, and business stakeholders to translate analytical requirements into governed, high-performance data products. Key Responsibilities Data Platform & Fabric Engineering • Design and implement end-to-end data pipelines using Microsoft Fabric (Data Factory, Data Engineering, Lakehouse). • Build and maintain Fabric Lakehouse architectures (Bronze/Silver/Gold) optimized for marketing and BI use cases. • Implement incremental loads, CDC patterns, and data freshness strategies for large-scale analytical datasets. • Optimize storage formats (Delta/Parquet), partitioning, and performance tuning in Fabric. Data Engineering & Transformation • Develop robust data transformation logic using: PySpark / Spark SQL, SQL-based transformations • Perform data cleansing, standardization, enrichment, and deduplication across multiple marketing and customer data sources. • Implement data quality checks, validation rules, and anomaly detection within pipelines. • Maintain reusable transformation frameworks and shared data assets. Marketing & Business Data Integration • Ingest and model data from marketing and customer platforms such as: Digital analytics (web, app, events), Campaign platforms (email, paid media, CRM, CDPs), Internal business systems (sales, finance, operations) • Create conformed dimensions and fact tables for marketing performance, attribution, funnel analysis, and customer insights. • Enable cross-channel reporting and identity-aware analytics. Power BI & Semantic Modeling • Design and optimize Power BI semantic models (datasets) for enterprise reporting. • Build star schemas, calculation groups, and optimized DAX measures. • Ensure report performance, scalability, and refresh reliability. • Support self-service BI while enforcing enterprise data governance standards. • Collaborate with analysts and business users on dashboard requirements and usability. Governance, Security & Operations • Implement workspace strategies, environment separation (Dev/Test/Prod), and deployment pipelines in Fabric. • Enforce data access controls, row-level security (RLS), and sensitivity labels. • Establish monitoring, logging, and alerting for pipeline health and data reliability. • Document data models, pipelines, and operational runbooks. • Participate in on-call or production support rotations as needed. Collaboration & Leadership • Act as a technical mentor for junior engineers and analysts. • Influence data architecture decisions and analytics best practices. • Work closely with product managers, marketing leaders, and BI teams to prioritize and deliver high-impact data products. • Contribute to standards for data modeling, naming conventions, and pipeline design. Required Qualifications Core Technical Skills • 8 years of experience in data engineering / analytics engineering roles. • Strong hands-on expertise with Microsoft Fabric: Lakehouse, Data Factory, Data Engineering (Spark), Workspaces and deployment pipelines • Advanced SQL skills and experience with large analytical datasets. • Strong experience with Power BI: Semantic models, DAX, Performance optimization • Proficiency in PySpark or Spark SQL. Data Engineering Fundamentals • Deep understanding of: Data modeling (star/snowflake schemas), ETL / ELT design patterns, Incremental processing and CDC, Data quality and validation frameworks • Experience operating data platforms in production environments. Domain & Soft Skills • Experience supporting marketing analytics, customer analytics, or growth analytics. • Strong stakeholder communication skills-able to translate business questions into data solutions. • Comfortable working in agile, fast-moving environments with evolving requirements. Preferred / Nice-to-Have • Experience with enterprise marketing stacks (CDPs, CRM, campaign tools). • Familiarity with data governance frameworks and privacy-aware data design. • Experience migrating from legacy BI platforms to Microsoft Fabric. • Exposure to CI/CD concepts for data platforms. • Azure ecosystem experience beyond Fabric (Synapse, ADLS, etc.). What Success Looks Like • Reliable, well-governed Fabric lakehouses powering business-critical dashboards. • High-performing Power BI reports used daily by marketing and leadership teams. • Reduced data latency and improved trust in analytics. • Clear documentation and reusable data assets. • Strong collaboration between engineering, analytics, and business users.
Compétences linguistiques
- English
Avis aux utilisateurs
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