Data Engineer – Asset Management

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sicredi

WebsiteLinkedInAll Job Openings

10,000+ employees

🛡️ Insurance

📦 Logistics

💼 Consulting

Insurance • Logistics • Consulting

Sicredi is a cooperative financial institution based in Brazil that offers a wide range of financial services, including personal and business banking, investments, insurance, and credit solutions. With over 9 million members, Sicredi emphasizes community development by reinvesting resources locally and providing personalized services to its clients. The institution operates more than 2,800 branches nationwide, focusing on a humanized approach to finance and supporting the agribusiness sector alongside individuals and businesses.

📋 Description

• Work on strategic projects involving migration, integration, automation, and process improvement • Design, implement, and maintain data pipelines connecting OMS/EMS, risk and performance systems, internal platforms, custodians, and fund administrators • Build data pipelines capable of identifying business opportunities from internal and external data • Build and maintain highly reliable, high-performance ETL/ELT processes • Develop integrations via APIs, SFTP, messaging, or proprietary connectors • Document processes, data flows, and technical solutions • Work closely 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 cost optimization

🎯 Requirements

• Degree in Engineering, Information Systems, Computer Science, Mathematics, Statistics, or a related field • Experience in data engineering within the financial services industry • 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 and data architecture 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 in a team • Preferred: experience with investment system implementation or migration projects

🏖️ Benefits

• Profit-sharing bonus, according to seniority • Health and dental insurance with no co-payment • Gympass • Life insurance • Health and well-being programs, including nutrition, psychology, workplace exercise, massage, running groups, and a local gym • Food and meal allowances, with flexible allocation between the food and meal cards and no co-payment • Extended maternity and paternity leave • Daycare or nanny assistance for children up to 6 years and 11 months old • Assistance for children with disabilities, with no age limit • Private pension plan with contributions of up to 8% of salary • Sicredi Aprende training platform, offering a variety of courses • 40-hour workweek using a time-banking system