Analytics Engineer

6 days ago

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Keyrus

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B2B • Data Analytics • 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.

1001 - 5000 employees

Founded 1996

🤝 B2B

📋 Description

• Design, develop, and implement scalable, efficient data pipelines using Azure Databricks, Airflow, and PySpark. • Ensure data quality, reliability, and performance through engineering best practices, governance, and continuous monitoring. • Analyze, investigate, and resolve issues related to data integrity, availability, and performance. • Develop and maintain end-to-end Power BI dashboards, translating large volumes of data into clear, intuitive visualizations that support decision-making. • Collaborate on the design and enhancement of data features and improvements, aligned with the business’s strategic needs. • Participate in technical discussions, contributing to the continuous improvement of the company’s data architecture and engineering standards.

🎯 Requirements

• Experience with end-to-end Power BI development. • Hands-on experience with Azure ecosystem services such as Azure Databricks, Azure Storage, Azure SQL, Azure Data Lake, and Azure Synapse Analytics. • Knowledge of MLE and data pipeline concepts. • Strong understanding of statistical concepts and A/B testing. • Experience with reverse engineering to understand flows and processes in legacy systems. • Experience working in agile environments (Scrum, Kanban), delivering iterative, collaborative, high-value outcomes. • Knowledge of data architecture and ETL/ELT best practices to ensure robust, optimized, and scalable solutions.

🏖️ Benefits

• We encourage everyone to participate in our hiring process regardless of gender, age, race, or religion. • We do not tolerate any form of discrimination.