Data Engineer – Insurance Focus

Job not on LinkedIn

🕒 August 21

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

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

• Design, implement, and manage complex data architectures aligned with Sicredi’s strategic and business needs. • Lead automation and infrastructure initiatives, applying best practices to increase efficiency and resilience. • Ensure the security, scalability, and performance of cloud solutions while proposing and implementing continuous improvements. • Serve as a technical mentor to junior team members, fostering professional development and knowledge sharing. • Collaborate with development, security, and operations teams, influencing technical decisions and supporting the implementation of complex projects.

🎯 Requirements

• Strong experience with SQL. • Experience using Python for data processing and manipulation. • Experience with Spark. • Experience with Databricks. • Knowledge of structured and semi-structured data formats, especially JSON. • Experience developing and maintaining data pipelines. • Knowledge of data modeling and data architecture. • Experience with version control and software engineering best practices. • Preferred: Experience with cloud environments. • Preferred: Knowledge of Data Lake, Lakehouse, and modern data architectures. • Preferred: Experience with pipeline observability and monitoring. • Preferred: Experience with DataOps practices. • Preferred: Knowledge of analytical environments and AI/Analytics initiatives.

🏖️ Benefits

• 14th and 15th fixed annual salaries • Profit-sharing bonuses (based on seniority) • Health and dental insurance with no co-payment • Gympass • Life insurance • Health and wellness programs (nutrition, psychology, workplace exercise, massage, running groups, and a local gym) • Food and meal allowances, with flexible allocation percentages between the VA/VR cards and no co-payment • Extended maternity and paternity leave • Childcare or babysitting allowance for children up to 6 years and 11 months old • Support for children with disabilities, with no age limit • Private pension plan with contributions of up to 6% of salary • Training platform – Sicredi Aprende, offering a wide range of courses • 40-hour workweek, using a time-banking system • Remote-work allowance (except for positions that are 100% on-site)