ENGINEERING HEAD

Job Description : ENGINEERING HEAD DUBAI An exciting opportunity has arisen for an experienced Engineering Lead to join a dynamic and innovative AI-driven company. An ideal candidate thrives in a fast-paced environment, excels at bridging the gap between data engineering and data science, and is passionate about delivering accuracy in data & insights. The successful candidate will be responsible for leading the engineering strategy, overseeing the tech team, and ensuring the successful delivery of projects. As an Engineering Lead, your role will be pivotal in supporting our tech team. You will lead the engineering strategy, collaborating closely with program and project managers to ensure effective team management and successful project delivery. Your expertise will guide the end-to-end development of systems, from initial concept through to implementation. You'll work closely with internal stakeholders to define technical requirements, ensuring seamless integration across systems. Your role will also involve optimizing data pipelines, overseeing the integration of machine learning models into production systems, and using advanced statistical methods to analyze large datasets. Lead, mentor, and scale a high-performing team of engineers. Develop and execute the engineering strategy. Collaborate with internal stakeholders to define technical requirements. Optimize data pipelines and oversee the integration of machine learning models into production systems. Use advanced statistical methods to analyze large datasets. Develop clear and effective data visualizations and reports for stakeholders. Design and optimize cloud platforms and data warehouses, such as Snowflake, Redshift, Azure Synapse Analytics. Monitor and enhance the performance of data systems. Work with analytics teams to enable self-service BI using tools like Tableau, Power BI, and Looker. Advise executive leadership on technical solutions that align with business needs. Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related field. 10+ years of experience in engineering roles, preferably as a people manager. Excellent communication and interpersonal skills. Strong problem-solving skills with a strategic mindset. Extensive experience in data engineering, cloud technologies, and building scalable systems. Proven experience managing data warehouse solutions. Strong understanding of data science and machine learning processes. Expertise in programming languages such as Python, SQL, Java. Experienced with technologies like Snowflake, Redshift & BigQuery. Proficient in designing, implementing, and managing data warehouse solutions. Familiar with ETL/ELT frameworks and tools for seamless data integration.

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