Data Engineer

General AtlanticLondon - More London+ Equity1w ago

In Office Mid EMEA Insurance Fintech Data Engineer SQL Python Snowflake Databricks Reporting

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Requirements

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
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
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.

Responsibilities

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
While this role description is intended to be an accurate reflection of the job requirements, Actis reserves the right to modify, add, or remove duties from particular roles and assign other duties as necessary.
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