Data Engineering Lead

Key Responsibilities ·      Lead the design and implementation of ESG data, reporting, and analytics solutions across the organization. ·      Define technical architecture, data models, and integration frameworks for ESG data platforms. ·      Collaborate with business stakeholders, sustainability teams, and technology teams to translate ESG reporting requirements into scalable technical solutions. ·      Provide technical leadership to data engineering, analytics, and data science teams throughout the solution lifecycle. ·      Drive the development of ESG dashboards, KPIs, scorecards, and performance monitoring frameworks. ·      Oversee the ingestion, transformation, validation, and management of ESG datasets, including carbon emissions, sustainability metrics, and regulatory reporting data. ·      Establish and enforce ESG data governance, data quality, metadata management, and reporting standards. ·      Ensure ESG solutions align with global reporting frameworks and regulatory requirements, including GRI, SASB, TCFD, ISSB, and other emerging standards. ·      Review technical designs, code, and implementation approaches to ensure scalability, reliability, and maintainability. ·      Lead system integration efforts across internal and external ESG data sources and reporting platforms. ·      Support advanced analytics initiatives, including predictive modeling, sustainability insights, and ESG risk analysis. ·      Manage technical delivery, project planning, risk management, testing, and production deployments. ·      Mentor technical team members and promote best practices in data engineering, analytics, and ESG technology solutions. ·      Act as the primary technical advisor for ESG-related initiatives and stakeholder engagements. Required Skills and Experience ·      Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Sustainability, Finance, or a related discipline. ·      5+ years of experience in data, analytics, or technology delivery roles, with at least 2 years in a technical leadership capacity. ·      Strong understanding of ESG concepts, sustainability reporting frameworks, and regulatory requirements. ·      Proven experience designing and delivering enterprise-scale data and analytics solutions. ·      Strong expertise in data architecture, data modeling, ETL/ELT processes, and data governance frameworks. ·      Hands-on experience with data visualization and analytics platforms such as Power BI or Tableau. ·      Proficiency in SQL and working knowledge of Python or R for data analysis and automation. ·      Familiarity with cloud-based data platforms and modern data engineering technologies. ·      Experience leading cross-functional teams within Agile delivery environments. ·      Strong knowledge of data quality, master data management, and reporting controls. ·      Excellent stakeholder management, communication, and leadership skills. ·      Ability to bridge business objectives with technical implementation and drive successful project outcomes. Preferred Qualifications ·      Experience within financial services, banking, consulting, or sustainability-focused organizations. ·      Exposure to ESG data providers, sustainability reporting platforms, or regulatory reporting systems. ·      Knowledge of machine learning, predictive analytics, or advanced statistical modeling techniques. ·      Relevant certifications in ESG, sustainability reporting, cloud technologies, or data management are advantageous.