Data Engineer / ESG Data Engineer
Full-time permanent position
Fluent French
Geneva / Hybrid
Our client is seeking an experienced ESG Data Engineer to join a growing Data & Analytics function within a leading financial services environment. This role will be responsible for designing, building and maintaining the ESG data platform that supports sustainable investing, regulatory reporting and investment decision-making across the business.
The successful candidate will play a key role in integrating and reconciling ESG data from multiple external providers, ensuring high-quality, traceable and reliable sustainability data is available to Portfolio Managers, Risk, Compliance and Investment teams.
Key Responsibilities
- Design, develop and maintain scalable ESG data pipelines and data integration frameworks.
- Integrate external ESG datasets from multiple providers into the firm's enterprise data ecosystem.
- Develop robust controls and reconciliation processes across various ESG data sources.
- Build and maintain data models linking:
- Clients
- Portfolios
- Securities
- Issuers
- Counterparties
- Underlying holdings
- Establish and enhance data lineage, traceability and governance across ESG datasets.
- Deliver high-quality datasets to support sustainability reporting and regulatory requirements.
- Support ESG risk frameworks and sustainability risk assessments.
- Ensure data quality, consistency and accuracy across investment and client systems.
- Collaborate closely with Sustainable Investment, Risk Management, Compliance and Technology teams to deliver strategic ESG data solutions.
- Support look-through analysis and exposure reporting across complex portfolio structures.
Technical Experience
- Proven experience as a Data Engineer within a complex data-driven environment.
- Strong experience designing and developing ETL/ELT data pipelines.
- Advanced SQL and Python skills.
- Experience working with modern cloud-based data platforms.
- Strong understanding of data modelling principles and best practices.
- Experience integrating data through APIs and external data feeds.
- Knowledge of data governance, metadata management and data lineage concepts.
- Familiarity with technologies such as:
- Snowflake
- Databricks
- Azure Data Factory
- Apache Spark
Candidates should possess strong knowledge of ESG and investment management concepts, including:
- ESG metrics and sustainability data
- Sustainable investing principles
- SFDR (Sustainable Finance Disclosure Regulation)
- EU Taxonomy
- Climate Risk and TCFD frameworks
- Asset Management and Private Banking environments
- Portfolio and holdings data structures
- Issuer hierarchies and entity relationships
- Look-through exposure analysis
- Investment Risk and Sustainability Risk