Senior Data Consultant

WovV Technologies, a Global Business Productivity SaaS company, is looking for a Senior Data Consultant for Abu dhabi location.

WovVTech's suite of products are now empowering users across 3000 locations in 50 countries to digitise their operations, get real-time decision-driven analytics, and improve productivity. It counts global fortune 500 companies as its customers for SaaS products and technology services.

Seniority Level: Senior Consultant Key Skills:

• SSIS, SSAS, SSRS, Power BI, BIDS, SSMS, DQS, MDM, MDS, SSDT, GIT
• Python, R, PySpark, Scala, AWS, S3, Redshift, Data Catalogues, Glue, PySpark, NumPy • Scikit - learn, Matplotlib, TensorFlow, PyTorch, Keras, Pandas
• Jupyter Notebooks, Lambda Functions, Apache Spark
• Agile, Scrum, TDD, BDD

Core Responsibilities:

• Leads data audits, governance assessments, and creation of reference data models to ensure data quality and consistency
• Bridges regulatory and operational data requirements, aligning technical solutions with compliance mandates and business objectives
• Ensures data architecture is AI-ready, enabling scalable integration with machine learning and advanced analytics workflows
• Designs and implements cloud-native data architectures with a focus on resilience, performance, and future scalability
• Collaborates with cross-functional teams to translate business data needs into robust engineering solutions
• Promotes data mesh and federated data ownership practices to support decentralized data delivery and governance
• Mentors teams on best practices in data modelling, pipeline development, and cloud-based transformation strategies

Required Qualifications:

• 17+ years of experience designing and implementing large-scale data solutions across Energy & Commodities and Insurance (including Lloyd's Market) and Financial Services.
• Specializes in modern cloud-based data engineering, with deep expertise in Azure and Databricks and Microsoft Fabric and Data Mesh Architectures.
• Strong hands-on experience in Conceptual and physical data modelling and High-volume, resilient data pipeline development and Data transformation and enrichment using Apache Spark and Python.
• Recent engagements include rearchitecting and modernizing a large-scale commodities data platform (Azure cloud migration).
• Delivering enterprise-grade machine learning APIs for Zurich Insurance using Databricks and Microsoft Fabric.
• Leading cloud migration at IQUW (Lloyd's Market) from AWS to Azure.
• Supporting carbon credit tracking and energy transition metrics for Shell Trading & Supply using Databricks, Azure Data Factory, and Scala.
• Proven ability to deliver secure, scalable, and high-performing data platforms for business-critical insight and operational support.
• Combines technical depth, domain expertise, and hands-on delivery experience across regulated industries.

Benefits and Perks:

• Team Outing
• Exciting career path with an exponentially growing company
• Abroad opportunities
• Deserving compensation

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