Head of Data Engineering

About Our Client

One of the leading financial institutions.

Job Description

• Lead the design, development, and optimization of large-scale data pipelines, architecture, and platforms to support enterprise analytics.
• Oversee the execution of data engineering initiatives, ensuring alignment with SDLC, IT governance, and business priorities.
• Define and enforce data engineering standards across the organization, covering quality, integration, security, performance, and governance.
• Collaborate with data scientists, analysts, IT teams, and business stakeholders to translate data requirements into technical solutions.
• Provide strong leadership, mentoring, and career development for delivery managers, architects, and engineering leads.
• Manage vendors and systems integrators, ensuring service quality, risk mitigation, and cost-effectiveness.
• Conduct regular performance reviews, build team competencies, and drive continuous improvement.

The Successful Applicant

• 10+ years of experience in data engineering and leadership roles.
• Leadership & Collaboration : Proven ability to lead high-performing teams and coordinate across business and tech functions.
• Technical Expertise : Advanced knowledge of Azure Data Factory, Azure SQL, Cosmos DB, Databricks , and API-based data integration.
• Architecture & Design : Deep understanding of data architecture, ETL frameworks, cloud-based data solutions, and scalable pipeline design.
• Strategy & Governance : Strong foundation in setting enterprise data engineering strategies, DevOps practices, and compliance standards.
• Analytical Thinking : Strong problem-solving capabilities, decision-making skills, and adaptability in a dynamic environment.
• Project & Vendor Management : Experience managing multiple initiatives and external partners simultaneously.

What's on Offer

If you are a seasoned Data Engineering leader with extensive experience in Azure Data Factory , this opportunity is for you!

#J-18808-Ljbffr