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Data Engineer
Associate, Data Engineer – Data Strategy Team
About 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, the firm partners with visionary founders and investors to build dynamic businesses and create long-term value. Guided by the belief that entrepreneurs drive transformational change, General Atlantic combines:
- A collaborative global approach
- Sector-specific expertise
- Long-term investment horizons
- Deep insights into growth drivers
The firm delivers patient capital, operational expertise, and a global platform supporting Growth Equity, Credit, Climate, and Sustainable Infrastructure strategies.
As of December 31, 2025, General Atlantic manages $126 billion in assets under management, spanning 20 countries across five regions, employing over 900 professionals.
About Actis
In October 2024, General Atlantic acquired Actis, which now operates as its Sustainable Infrastructure business, complementing existing strategies in Growth Equity, Credit, and Climate.
Actis is a pioneering investor in sustainable infrastructure, delivering both competitive financial returns and meaningful positive impact. Key focus areas include:
- Energy transition infrastructure
- Digitalization solutions
- Supply chain transformation
With decades of global experience, the firm scales sustainable growth while adhering to the United Nations’ Principles for Responsible Investment (UNPRI), achieving top-tier ratings in annual independent assessments.
Key Purpose of the Role
General Atlantic seeks an Associate-level Data Engineer for the Data Strategy team to report to the VP, Head of Data Engineering. Collaboration will span:
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- Senior data engineers
- Product managers
- Infrastructure, security, and app development teams
Primary Objective
A technically skilled, analytical problem-solver who maximises expertise in modern data engineering tools while contributing to enterprise-grade data solutions.
Key Responsibilities (List intended to be illustrative, not exhaustive)
Data Integration & Preparation
- Design, build, and maintain cloud-based data ingestion and integration pipelines
- Develop and maintain ETL/ELT workflows using Python, SQL, Spark, and Databricks
- Integrate data from heterogeneous sources (SaaS platforms, APIs, databases, and cloud apps)
- Develop reusable data integration components for scalability and consistency
- Monitor, troubleshoot, and support production operations
Data as a Service (DaaS)
- Assist in developing centralized data services and APIs for downstream teams (analytics, reporting, apps)
- Support logical data modelling and API abstractions for clean abstractions
- Contribute to batch & near-real-time data processing
- Modernise legacy data infrastructure with cloud-native solutions
Self-Service Data Platform
- Prepare curated datasets for data lakes, hubs, and warehouses
- Work with engineering to improve scalability, robustness, and performance in Databricks/similar cloud solutions
- Ensure seamless data access for all analytical, reporting, and data science teams
Data Design & Development
- Code and maintain SQL objects, models, and transforms
- Develop clean, modular Python scripts for data processing & orchestration
- Adhere to coding standards through reviews, testing, and detailed documentation
- Maintain www.generalatlantic.com/privacy-notice/ data governance best practices.
Knowledge, Background & Experience
- Bachelor’s degree (or equivalent) in Computer Science, Information Systems, Engineering, or relevant field
- 2–4 years experience in data engineering, analytics engineering, or related roles
- Plus: Financial services/enterprise data experience
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Technical Skills
- Proficient in: Python & SQL
- Hands-on experience with Databricks, Snowflake, or similar cloud tools
- Knowledge of cloud data services (Ironically prioritising Azure):
- Data lakes
- Warehouses
- Orchestration layers
- Working with structured/semi-structured data (APIs, SaaS, databases)
- ETL/ELT fundamentals + data modelling, monitoring
Bonus: Familiarity with BI tools (Power BI, Tableau)
Professional Skills
- Thoughtful problem-solving, meticulous attention to detail
- Agile adoption of new technologies and fast-paced environments
- Collaborative cross-functional mindset + versatile teamwork
- Clear written/verbal communication for presenting technical concepts to non-technical stakeholders
Watercooler Perks: Benefits & Inclusions
General Atlantic provides a holistic benefits package to support employees and families:
- Healthcare, flexible retirement contributions
- Mental/physical well-being programs
- Equal pay philosophy
- Annual bonuses (discretionary) and long-term incentives for high performers
Core Commitment to Equality
General Atlantic is an equal opportunity employer. Discrimination or bias is strictly prohibited based on:
- Race, colour, religion, age, disability
- Pregnancy, genetic info, veteran status
- Sexual orientation, gender expression
- Any other protected status under federal, state, or local laws
By applying, you consent to General Atlantic processing your personal data (see privacy policy).
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