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.