Data Engineer

Data Engineer

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our Data Strategy team to design and develop cloud-based data solutions.
  • Company: General Atlantic, a global leader in sustainable investment with a collaborative culture.
  • Benefits: Enjoy competitive pay, health resources, and opportunities for professional growth.
  • Why this job: Make an impact by working on innovative data engineering projects in a dynamic environment.
  • Qualifications: Bachelor's degree in a relevant field and 2-4 years of data engineering experience.
  • Other info: Be part of a diverse team with excellent career advancement opportunities.

The predicted salary is between 36000 - 60000 £ per year.

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 $123 billion in assets under management, inclusive of all strategies, as of December 31, 2025, with more than 900 professionals in 20 countries across five regions.

About Actis: In October 2024, General Atlantic acquired Actis, which now operates as its Sustainable Infrastructure business alongside its existing strategies in Growth Equity, Credit, and Climate. Actis is a leading global investor in sustainable infrastructure, delivering competitive returns for institutional investors and measurable positive impact for the countries, cities and communities in which it operates. Actis invests in structural themes that support long-term, equitable growth in defensive, critical infrastructure across energy transition, digitalization transition, and supply chain transformation.

The firm’s decades of global experience, operational know-how and strong culture allows it to create global sustainability leaders at scale. Since inception, Actis has raised $26 billion to invest in a better tomorrow. Actis is a signatory to the United Nations backed Principles for Responsible Investment (UNPRI), an investor initiative developed by the UNEP FI. The firm has consistently been awarded the highest rating score in the UNPRI independent assessment.

Key Purpose of Role: General Atlantic is seeking an Associate-level Data Engineer to join the Data Strategy team. This role will report to the VP, Head of Data Engineering, and will work closely with senior data engineers, product managers, infrastructure, security, and application development teams. This role will support the design, development, and maintenance of cloud-based data pipelines, integration frameworks, and self-service data platforms. This role is ideal for a technically strong, highly curious engineer who is eager to grow their expertise in modern data engineering tools and best practices while contributing to enterprise-grade data solutions.

Key Responsibilities (this list is not exhaustive):

  • Data Integration & Preparation: Support the design, development, and maintenance of cloud-based data ingestion and integration pipelines; Build and maintain ETL / ELT workflows using Python, SQL, Spark, and Databricks; Assist in integrating data from heterogeneous sources including SaaS platforms, APIs, databases, and cloud applications; Contribute to the development of reusable data integration components and frameworks; Monitor data pipelines, troubleshoot issues, and support production operations.
  • Data as a Service: Assist in the development of centralized data services and APIs that enable downstream consumption by analytics, reporting, and application teams; Support the creation and maintenance of logical data models and service-layer abstractions; Participate in building batch and near-real-time data processing workflows; Contribute to modernization initiatives migrating legacy data processes to cloud-native solutions.
  • Self-Service Data Platform: Help prepare curated datasets for use in data lakes, enterprise data hubs, and data warehouses; Work with senior engineers to support scalable, performant data storage and compute solutions using Databricks and cloud data services; Enable reliable data access for analytics, reporting, and data science use cases.
  • Data Design & Development: Develop and maintain SQL objects, data models, and transformations; Write clean, maintainable Python code for data processing and orchestration; Participate in code reviews, testing, and documentation to ensure data quality and reliability.

Knowledge:

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
  • 2–4 years of experience in data engineering, analytics engineering, or a related technical role.
  • Exposure to financial services or enterprise data environments is a plus.

Technical Skills:

  • Proficiency in Python and SQL.
  • Hands-on experience with modern data platforms such as Databricks, Snowflake, or similar.
  • Familiarity with cloud data services (Azure preferred) including data lakes, data warehouses, and orchestration tools.
  • Experience working with structured and semi-structured data from APIs, SaaS platforms, and databases.
  • Understanding of ETL / ELT concepts, data modeling, and pipeline monitoring.
  • Exposure to BI tools such as Power BI or Tableau is a plus.

Professional Skills:

  • Strong problem-solving skills and attention to detail.
  • Ability to learn new technologies quickly and adapt in a fast-paced environment.
  • Comfortable working collaboratively within cross-functional teams.
  • Clear written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

General Atlantic offers a robust reward program to all employees that will support you and your family, maintaining fulfilling, secure and healthy lives now and into the future, which includes but is not limited to medical insurance, retirement savings contributions, mental and physical health resources and an equal pay program. Additional reward programs, such as annual discretionary bonuses and long-term incentive programs, are available for eligible employees and are offered as recognition for performance and one’s contributions towards the organization’s success.

General Atlantic is an equal opportunity employer and does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Data Engineer employer: General Atlantic

General Atlantic is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Data Engineers to thrive. With a strong commitment to employee growth, the company offers extensive training opportunities and a robust rewards programme, including competitive medical benefits and performance-based incentives. Located in a dynamic environment, employees are empowered to contribute to meaningful projects that drive sustainable infrastructure and long-term value creation.
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Contact Detail:

General Atlantic Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Network like a pro! Reach out to your connections on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.

✨Tip Number 2

Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your experience with data pipelines and cloud services. We want to see your passion for data engineering shine through!

✨Tip Number 3

Show off your projects! If you've worked on any cool data engineering projects, make sure to highlight them during interviews. We love seeing practical applications of your skills and how you tackle real-world problems.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our team!

We think you need these skills to ace Data Engineer

Python
SQL
Databricks
ETL / ELT
Data Integration
Cloud Data Services
Data Modelling
Data Pipeline Monitoring
APIs
Data Lakes
Data Warehouses
Problem-Solving Skills
Attention to Detail
Collaboration
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight relevant experience and skills, especially in Python, SQL, and cloud data services. We want to see how your background aligns with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!

Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience and creativity in action.

Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at StudySmarter!

How to prepare for a job interview at General Atlantic

✨Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and Databricks. Brush up on your ETL/ELT concepts and be ready to discuss how you've used these tools in past projects.

✨Showcase Problem-Solving Skills

Prepare to share specific examples of challenges you've faced in data engineering. Highlight how you approached these problems, the solutions you implemented, and the outcomes. This will demonstrate your analytical thinking and problem-solving abilities.

✨Understand the Business Context

Familiarise yourself with General Atlantic's investment strategies and how data engineering plays a role in supporting their goals. Being able to connect your technical skills to their business objectives will show that you’re not just a techie but also understand the bigger picture.

✨Ask Insightful Questions

Prepare thoughtful questions about the team, projects, and company culture. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Questions about their data strategy or future projects can spark engaging conversations.

Data Engineer
General Atlantic
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