Data Engineer – Asset Management

Sicredi

. Work on strategic projects involving migration, integration, automation, and process improvement .

Posted 9/23/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, focusing on building and maintaining data pipelines, optimizing ETL processes, and implementing integrations within financial markets. Proficient in SQL and Python, with strong analytical and problem-solving skills to enhance data quality and governance.

Highest-signal resume keywords

Data Engineering ExperienceETL/ELT Process OptimizationProficiency in SQLStrong Knowledge of DatabricksData Modeling and Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentETL Process ManagementSQL ProficiencyPython ProgrammingData ArchitectureData ModelingAPI IntegrationAutomation TechniquesPerformance OptimizationData Quality Standards

Soft Skills

Analytical SkillsProblem-SolvingStrong CommunicationTeam Collaboration

Tools & Technologies

DatabricksSFTPMessaging SystemsProprietary Connectors

Industry Keywords

Financial MarketsData GovernanceProcess ImprovementRisk and Performance SystemsBusiness Opportunities Identification

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Work on strategic projects involving migration, integration, automation, and process improvement
Design, implement, and maintain data pipelines connecting OMS/EMS platforms, risk and performance systems, internal platforms, custodians, and fund administrators
Build data pipelines capable of identifying business opportunities based on internal and external data
Build and maintain highly reliable, high-performance ETL/ELT processes
Develop integrations through APIs, SFTP, messaging, or proprietary connectors
Document processes, data flows, and technical solutions for future reference, ensuring knowledge is shared and preserved
Collaborate with business analysts to define calculation rules, granularity, data quality standards, and key fields
Identify and implement continuous improvements focused on efficiency, performance, governance, and costs, delivering value to the business

Requirements

What you’ll need

Education: Engineering, Information Systems, Computer Science, Mathematics, Statistics, or a related field
Experience in data engineering within the financial markets
Strong knowledge of Databricks
Experience optimizing ETL processes and configuring clusters
Proficiency in SQL and Python for data manipulation and automation
Advanced knowledge of data modeling, data architecture, and AI concepts
Analytical skills and the ability to solve complex problems related to data and technology systems
Strong communication skills and the ability to work effectively as part of a team

Benefits

Comp & perks

Profit-sharing program (based on seniority)
Health and dental insurance with no co-payments
Wellness programs through Wellhub (formerly Gympass), including nutrition, psychological support, workplace wellness, massage, a running group, and a local gym
Meal and food allowances, with flexibility to allocate percentages between the VA/VR cards and no co-payments
Extended maternity and paternity leave
Childcare or nanny assistance for children up to 6 years and 11 months old
Assistance for children with disabilities, with no age limit
Life insurance
Private pension plan with contributions of up to 8% of salary
Training platform – Sicredi Aprende, offering a wide range of courses
40-hour workweek, using a time-bank system
Remote-work allowance (except for positions that are 100% on-site)