
11 - 50 employees
Founded 2022
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
Artificial Intelligence • Enterprise • B2B
insightify. io is a B2B data engineering and analytics consultancy that helps organizations turn raw data into strategic assets. It provides data architecture, ETL/ELT pipelines, cloud migration (multi-cloud and on-prem), data lake and data mesh implementations, MLOps, machine learning and predictive analytics, and industry-focused solutions like cloud manufacturing. The firm emphasizes scalable, secure, governed data platforms, data quality, and automation to enable analytics and AI at enterprise scale.
🕒 June 25
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11 - 50 employees
Founded 2022
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
Artificial Intelligence • Enterprise • B2B
insightify. io is a B2B data engineering and analytics consultancy that helps organizations turn raw data into strategic assets. It provides data architecture, ETL/ELT pipelines, cloud migration (multi-cloud and on-prem), data lake and data mesh implementations, MLOps, machine learning and predictive analytics, and industry-focused solutions like cloud manufacturing. The firm emphasizes scalable, secure, governed data platforms, data quality, and automation to enable analytics and AI at enterprise scale.
• Conceptualizing and implementing scalable and secure cloud-based data solutions. • Shaping the cloud data strategy to ensure the data infrastructure aligns with organizational requirements. • Collaborating closely with global clients to deliver top-tier solutions in the field of Data & Analytics.
• 5+ years of professional experience in the Data & Analytics field. • Proven experience as a Cloud Data professional, with expertise in AWS, Azure & GCP, dbt & Databricks. • Solid knowledge of cloud data services, data warehousing, big data technologies, and data lakes. • Proficiency in data modeling, data integration, and ETL processes. • Good grasp of business processes and the ability to promote automation through effective management. • Proficient knowledge and understanding of architecture, application design, systems engineering, and integration. • A bachelor’s degree in computer science, information technology, or a related field. • A master’s degree is a plus.
• Challenging and innovative big data projects. • Continuous learning and career development in a fast-growing data-driven industry. • Competitive salary package. • Flexible and supportive work environment.
Apply Now🕒 June 24
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