Senior Data Engineer

Bizzy

Bizzy is an innovative company leveraging data to empower B2B intelligence. The Senior Data Engineer will be crucial in developing robust data solutions, working with a dynamic team to meet business and analytics needs. This role emphasizes adaptability, continuous improvement, and cross-department collaboration.

In this role you can expect to have the responsibilities:

• Implement efficient data extraction techniques for diverse sources.
• Integrate and aggregate data from various sources to enhance platform accessibility.
• Design and maintain scalable data architectures and pipelines.
• Ensure data governance and quality assurance across the organization.
• Collaborate with cross-functional teams to align data solutions with company goals.
• Highlight and prioritize key data infrastructure projects.
• Develop tools for automated data validation and transformation.
• Mentor and support the growth of engineering team members.

This role comes with the following benefits:

• Macbook Pro and iPhone 16 with subscription.
• Healthcare benefits plan including Alan daily care.
• Meal vouchers and a Flex Income Plan.
• Flexible working hours and locations.
• Office perks such as fresh fruit and cookies.
• Budget for personal growth and development.
• Bizzy merchandise and team events.

This role requires you to have:

• At least 5 years of experience in large-scale data systems.
• Proficiency in distributed processing languages like PySpark, and databases like MySQL.
• Strong data modeling skills and experience with data lakes.
• Experience with cloud platforms like Google Cloud.
• Strong analytical thinking and problem-solving skills.
• Team-oriented with strong communication skills.
• Ability to set KPIs and report them to leadership.
• Fluency in English, spoken and written.

You would benefit from having:

• Experience with scraping processes and Typescript.
• Knowledge of data engineering trends and AI-driven products.

Bizzy encourages applications from diverse backgrounds and seeks to bridge the confidence gap, emphasizing their inclusive values and diverse teams. They support underrepresented groups to apply even if they feel only partially qualified.