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Remote in Argentina, & 2 others
Data Integration& 4 others
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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 operations.
Responsibilities
- Design, 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 GitHub 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 tools
- API 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 SnapLogic
- Experience working within scaled Agile frameworks