Senior Data Engineer

🕒 September 23

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 18%

What it means: the chance that no one is really hiring for this job.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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SuperSim

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

💳 Fintech

👥 B2C

💸 Finance

💰 $5M Series A on 2022-01

Fintech • B2C • Finance

SuperSim is a financial technology company that specializes in providing online personal loans. They aim to democratize access to credit for all Brazilians, utilizing artificial intelligence to streamline the loan approval process, including options for individuals with negative credit histories. SuperSim's platform offers rapid loan disbursement through PIX, ensuring simplicity and convenience for users seeking quick financial solutions without bureaucratic hurdles.

📋 Description

• Develop, maintain, and enhance data ingestion, transformation, and delivery pipelines using Python, SQL, and Apache Airflow • Design and optimize tables and data models for analytical and operational needs • Work with Data Lake technologies, Amazon S3, Apache Iceberg, and Trino • Integrate data from relational databases, APIs, files, and internal and external systems • Ensure data quality, consistency, traceability, security, and availability • Develop validations, alerts, metrics, and pipeline monitoring mechanisms • Investigate data and performance issues, addressing root causes and preventing recurrence • Support analysts, data scientists, and business teams in defining requirements and building solutions • Contribute to the evolution of data architecture, governance, and access control practices • Create and maintain technical documentation covering pipelines, tables, business rules, and architectural decisions • Develop readable, testable, and maintainable code; participate in code reviews and share knowledge • Identify opportunities for automation, simplification, and efficiency gains • Monitor production solutions and take ownership of data product reliability

🎯 Requirements

• Strong experience with Python, SQL, and Apache Airflow, particularly in building and maintaining data pipelines • Hands-on experience with Data Lakes and distributed storage and processing architectures • Experience with Amazon S3, Apache Iceberg, Trino, or equivalent solutions • Solid knowledge of Data Engineering fundamentals, regardless of the tools used • Senior, hands-on profile with experience building, operating, and supporting pipelines on a daily basis • Autonomy to investigate issues, make technical decisions, and lead solutions from inception through production • Consistent professional track record, with the ability to explain career decisions and transitions • Experience with PostgreSQL, Superset, and Docker (preferred) • Experience with CI/CD practices (preferred) • Experience monitoring and supporting pipelines in production (preferred) • Experience in fintechs, startups, or agile, low-bureaucracy environments (preferred) • Interest in architecture, automation, and the continuous evolution of data infrastructure (preferred)

🏖️ Benefits

• Market-competitive salary • Annual bonus • SuperSim Flex with Meal/Food Allowance • Transportation or Mobility Allowance • Health Insurance • Dental Insurance • Life Insurance • Education Allowance • Totalpass • Private Pension Plan • Stock purchase program for eligible positions • Company-subsidized training • Day off on your birthday • Weekly soccer and volleyball • Celebratory events and happy hours • Employment under Brazil’s CLT labor regime

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