Job Description

Job Summary:

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.

Location:

Abu Dhabi (on-site)

Duration:

10-12 weeks (potential extension)

Seniority Level:

Senior Consultant

Key Skills:

Azure Data Engineering, Databricks, ADF, Matillion, DBT, AWS Glue, AWS Athena AWS Code Pipelines, Google Big Query, Microsoft Fabric, Azure Synapse SSIS, SSAS, SSRS, Power BI, BIDS, SSMS, DQS, MDM, MDS, SSDT, GIT Microsoft SQL Server, MySQL, MongoDB, Azure SQL Database, CosmoDB, Snowflake Python, R, PySpark, Scala, AWS, S3, Redshift, Data Catalogues, Glue, PySpark, NumPy o Scikit - learn, Matplotlib, TensorFlow, PyTorch, Keras, Pandas C#,C, C++, T-SQL, PL-SQL, .NET, PowerShell, Delta Lake, Logic Apps, Event Hub Avro, Parquet, Gitlab, Jenkins, TeamCity, Octopus, ADO Azure Synapse Analytics, Azure Function, Matillion, DBT, Snowflake 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 Fun activities Abroad opportunities Deserving compensation

Job Title

Senior Data Consultant

Location

Abu Dhabi

Min. Experience

17+ Years

Salary

As per Industry Standard