Senior Data & BI Engineer

Description

Job Description:

As a Senior Data & BI Engineer at Como, you will be pivotal in shaping the data architecture and analytics strategies that drive critical business decisions. You will lead the development and maintenance of scalable, efficient data pipelines and ensure the accuracy, accessibility, and security of our data. Your ability to collaborate with cross-functional teams and mentor junior team members will be key to fostering a data-driven culture.

Key Responsibilities:

• Lead the design, implementation, and optimization of efficient, secure, and scalable data pipelines.
• Develop and refine complex SQL queries for data analysis, ensuring performance optimization.
• Integrate BigQuery for handling large-scale data analytics and cloud services.
• Utilize Python and other programming languages to automate data processes and ensure seamless data manipulation.
• Partner with business stakeholders to understand data needs, providing strategic insights and data-driven solutions.
• Develop, optimize, and maintain Looker dashboards to provide clear, actionable business insights.
• Implement data governance standards to ensure data accuracy, security, and compliance with industry regulations.
• Mentor and guide junior data engineers and analysts, fostering a collaborative and innovative team environment.
  
  

• Proficiency in relevant programming languages is essential
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of experience in data engineering or a related role, with a proven track record of success in managing complex data environments.
• Strong proficiency in SQL, including advanced query optimization techniques.
• Extensive experience with Python for data manipulation and automation tasks.
• Deep expertise in cloud-based data platforms, especially Google BigQuery.
• Proficient with Looker or similar BI tools for building and optimizing dashboards.
• Strong understanding of data governance, security, and compliance best practices.
• Demonstrated ability to collaborate with senior leadership to drive data strategies.
• Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.
  
  

• Proven experience in a SaaS environment managing large-scale data sets.
• Expertise in data modeling and ETL processes.
• Experience in architecting and managing data warehouses.
• Familiarity with additional programming languages or advanced analytics tools (e.g., R, Spark, etc.) is a plus.
• Previous leadership or mentorship experience within data engineering teams.