
1001 - 5000 employees
Founded 1996
đ€ B2B
B2B âą Data Analytics âą Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
đ December 10, 2025
đŁïžđ§đ·đ”đč Portuguese Required
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1001 - 5000 employees
Founded 1996
đ€ B2B
B2B âą Data Analytics âą Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
âą Lead the architecture and development of analytics solutions, including data pipelines, analytical models, and dashboards âą Ensure data engineering best practices, governance, and data quality âą Act as a technical mentor for the team, promoting skills development and continuous growth âą Collaborate with business stakeholders to understand requirements and translate them into effective analytical solutions âą Evaluate and implement new technologies and tools to optimize processes and outcomes âą Ensure the scalability, security, and performance of solutions
âą Proven experience in technical leadership on Analytics or Data Engineering projects âą Proficiency with tools and languages such as SQL, Python, Spark, and Big Data platforms âą Knowledge of data architectures (Data Lake, Data Warehouse, Data Mesh) and visualization tools (Qlik, Power BI, Tableau, among others) âą Familiarity with data governance, data quality, and security practices âą Strong communication skills and ability to collaborate with multidisciplinary teams âą Experience with cloud environments (AWS, Azure, GCP) âą Advanced English
âą We encourage everyone to participate in our hiring process, regardless of gender, age, race, or religion âą We do not tolerate any form of discrimination âą We foster a culture of equality and diversity
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