We are entrepreneurs in disruptive technology, at Devoteam, we deliver innovative technology consulting for business. Digital Transformakers, we are 7,000+ professionals across EMEA dedicated to ensuring our clients win their digital battle. We improve business performance making their companies truly digital. We advise our clients and build IT infrastructure for digital, making sure people are along for the ride.

Devoteam Middle East, we are the region's leading consulting firm delivering innovative Business & Technology Consulting & Solutions. Our 14 years of existence anchored in technologies that enables our clients business to flourish, accordingly our focus is to help our clients' win the digital battle, adapted to our clients’ business challenges, with a unique consideration to its impact on their systems and structures.

To know more about us, please visit: www.devoteam.com

The Data Senior Consultant is responsible for leading the design, implementation, and optimization of data-driven solutions for clients. They serve as a subject matter expert, guiding the organization's data strategy and overseeing the delivery of data engineering, analytics, and business intelligence projects.

Roles and responsibilities:

• Define the overall data architecture and roadmap to support the organization's business objectives and data requirements

• Design and implement scalable, secure, and high-performance data infrastructure, including data lakes, data warehouses

• Develop robust data ingestion, transformation, and processing pipelines using modern data engineering tools and techniques

• Optimize data storage, access, and query performance through the effective use of database technologies, indexing, and partitioning

• Implement data governance and quality controls to ensure the integrity, security, and compliance of data assets

• Bachelor's degree in Computer Science, Information Technology, or a related technical field

• 7+ years of experience in data engineering, analytics, or business intelligence roles

• Expertise in designing and implementing data platforms and architectures, including data lakes, data warehouses

• Proficiency in data ingestion, transformation, and processing technologies (e.g. Apache Spark, Apache Kafka, Apache Airflow, Databricks)

• Strong working knowledge of relational databases (e.g. SQL Server, PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB, Cassandra, Couchbase)

• Experience with ETL/ELT tools and data integration frameworks.

• Experience with cloud-based data services and platforms (e.g. Azure Synapse, Google BigQuery, AWS Glue)

• Expertise in data modeling, dimensional modeling, and schema design

• Familiarity with data visualization and business intelligence tools (e.g. Power BI, Tableau, Qlik)

• Understanding of data mining, machine learning, and predictive analytics techniques

• Ability to translate complex data requirements into scalable, efficient, and maintainable solutions

• Industry certifications (e.g. AWS Certified Data Analytics Specialty, Azure Data Engineer Associate, Google Cloud Certified Data Engineer)