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Data Engineer
About General Atlantic
General Atlantic (General Atlantic) is a leading global investor with more than four and a half decades of experience providing capital and strategic support for over 830 companies throughout its history. Established in 1980, General Atlantic continues to be a dedicated partner to visionary founders and investors seeking to build dynamic businesses and create long-term value. Guided by the conviction that entrepreneurs can be incredible agents of transformational change, the firm combines a collaborative global approach, sector-specific expertise, a long-term investment horizon, and a deep understanding of growth drivers to partner with and scale innovative businesses around the world.
The firm leverages its patient capital, operational expertise, and global platform to support a diversified investment platform spanning Growth Equity, Credit, Climate, and Sustainable Infrastructure strategies. General Atlantic manages approximately $126 billion in assets under management as of December 31, 2025, with more than 900 professionals across 20 countries in five regions. For more, visit: www.generalatlantic.com.
About Actis
In October 2024, General Atlantic acquired Actis, now operating as its Sustainable Infrastructure business alongside its existing Growth Equity, Credit, and Climate strategies. Actis, a leading investor in sustainable infrastructure, delivers competitive returns for institutional investors while driving measurable positive impact in countries, cities, and communities.
Actis invests in key structural themes, including:
- Energy transition
- Digitalization transition
- Supply chain transformation
With decades of global experience and strong operational culture, the firm fosters global sustainability leaders at scale. Since inception, Actis has raised $26 billion to invest in a better tomorrow. The firm is a signatory to the UN-backed Principles for Responsible Investment (UNPRI), achieving the highest rating in independent assessments.
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Key Purpose of Role
General Atlantic is seeking an Associate-Level Data Engineer for its Data Strategy team, reporting to the VP, Head of Data Engineering. The role collaborates closely with senior data engineers, product managers, infrastructure, security, and application development.
The ideal candidate is a technically strong, inquisitive engineer eager to grow in modern data engineering tools while contributing to enterprise-grade data solutions.
Responsibilities
Data Integration & Preparation
- Support design, development, and maintenance of cloud-based data ingestion and integration pipelines
- Build and maintain ETL/ELT workflows using:
- Python
- SQL
- Spark
- Databricks
- Integrate data from heterogeneous sources, including:
- SaaS platforms
- APIs
- Databases
- Cloud applications
- Develop reusable data integration components and frameworks
- Monitor pipelines, troubleshoot, and ensure production operations comply
Data as a Service
- Assist in building centralized data services and APIs for analytics, reporting, and applications
- Support creation/maintenance of logical data models, abstractions, and service layers
- Participate in batch and near-real-time data processing workflows
- Contribute to cloud-native migrations of legacy systems
Self-Service Data Platform
- Prepare curated datasets for data lakes, enterprise data hubs, and warehouses
- Work with engineers to optimize scalable data storage/compute using Databricks and SaaS
- Enable data access for analytics, reporting, and data science teams
Data Design & Development
- Design maintenance of SQL objects, data models, and transformations
- Write clean, maintainable Python code for processing and orchestration
- Participate in:
- Code reviews
- Testing
- Documentation (ensuring reliability and quality)
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This list is non-exhaustive. Responsibilities may evolve based on business needs.
Knowledge Requirements
Background & Experience
- Bachelor’s degree in Computer Science, Information Systems, or equivalent engineering field
- 2–4 years of experience in data engineering, analytics engineering, or related technologies
- Exposure to financial services or large-scale data environments preferred
Technical Skills
- Proficiency in:
- Python
- SQL
- Familiarity with:
- Cloud platforms (preferably Azure
- Storing structured/semi-structured data
- Hands-on experience with:
- Modern data platforms (e.g., Databricks, Snowflake)
- ETL/ELT pipelines, data modeling, and monitoring
- Optional: BI tools such as Power BI or Tableau
Professional Skills
- Problem-solving and attention to detail
- Ability to:
- Learn new tools quickly
- Adapt to changing environments
- Strong collaboration skills in cross-functional settings
- Effective written/verbal communication for technical non-technical stakeholders
Benefits
General Atlantic’s reward program reflects its commitment to supporting employees and families in living healthy, secure, fulfilling lives. Benefits include:
- Medical insurance
- Retirement savings contributions
- Mental and physical health resources
- Equitable pay policies
Additionally, eligible employees receive annual discretionary bonuses and long-term incentive programs recognizing performance and contributions.
Inclusivity
General Atlantic is an equal opportunity employer, prohibiting discrimination based on race, color, religion, age, gender, disability, veteran status, or other attributes under applicable laws.
By applying, you agree to General Atlantic’s processing of your data. Review the privacy notice at www.generalatlantic.com/privacy-notice/.
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