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Urgent! Senior Data Consultant Position in Abu Dhabi - WovV Technologies

Senior Data Consultant



Job description

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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