Data engineering leadership opportunitythe ideal candidate will have a minimum of 10 years of experience in data engineering, bi or ai with at least 5 years in leadership or practice management roles.a proven track record of leading enterprise-scale data initiatives is necessary, preferably within consulting or delivery center environments.expertise in cloud data platforms such as azure synapse, snowflake, databricks and bigquery is essential.a strong understanding of data architecture, integration, governance and analytics frameworks is also required.familiarity with machine learning, ai platforms and applied data science concepts is beneficial.experience managing large distributed teams and multi-project delivery portfolios is crucial for success in this role.exceptional communication, stakeholder management and client advisory skills are vital for effective collaboration and relationship-building.candidates should possess english fluency at a c1 level to communicate effectively with global clients.key responsibilities:leverage expertise in data engineering to drive strategic business decisionsdevelop and implement innovative data solutions to drive growth and improvementmentor and lead cross-functional teams to achieve project goalscollaborate with stakeholders to understand requirements and deliver high-quality resultsbenefits:opportunity to work on diverse projects and contribute to business growthcollaborative and dynamic work environment with experienced professionalspossible opportunities for professional development and career advancement