We're looking for a highly driven Lead Data Engineer to become part of a high-performing agile team that supports a prominent investment management organization.

This position suits an experienced data professional who possesses strong expertise in modern data platforms, cloud technologies, and financial data integration.

The chosen candidate will serve as the voice of Data Engineering within a cross-functional squad, helping design, build, and deliver scalable data solutions that support trading platforms, reporting systems, and investment , build, and maintain scalable data integration and data warehousing solutions

Work closely with Product Owners, Scrum Masters, Business Analysts, SMEs, and Engineers to analyze and refine business requirements

Convert user stories into solid technical solutions using modern cloud and data technologies

Create and optimize ETL/ELT pipelines for processing financial and investment data

Build and maintain SQL-based database objects such as views, stored procedures, and functions

Set up and support data integration workflows across enterprise platforms

Take part in solution architecture, technical design discussions, and implementation efforts

Maintain high standards of data quality, performance, security, and governance

Engage actively in Agile ceremonies such as sprint planning, estimation, retrospectives, and showcases

Showcase completed solutions and explain their business value to stakeholders

Help implement CI/CD and continuously improve deployment processes

Mentor team members and encourage engineering best practices

Requirements

Bachelor's degree in Computer Science, Information Technology,



Engineering, or a related field (or equivalent practical experience)At least 5 years of professional experience in Data Engineering

Strong expertise in advanced SQL, Snowflake, and Data Warehousing concepts and architectures

Hands-on experience with AWS cloud services

Strong Python skills for data processing and ETL development

Working knowledge of source control systems like Git

Hub or Bitbucket

Experience creating and maintaining CI/CD pipelines

Solid grasp of Agile delivery methodologies

Strong communication and stakeholder management abilities

Capability to work independently while still being an effective team contributor

English proficiency at B2 level or higher

Nice to have

Experience with Power BI or similar reporting and business intelligence toolsAPI development and integration skills

Knowledge of investment, asset management, or financial services data

Background supporting trading, reporting, accounting, or general ledger platforms

Exposure to AWS Glue, Athena, Lambda, S3, REST APIs, and Snap

Logic

Experience working within scaled Agile frameworks

We offer

International projects with top brands

Work with general teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the Linked

In Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

In #J-18808-Ljbffr

📌 Lead Data Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina