Senior Data Engineer

Bizzy Fintech

Bizzy Fintech is on a mission to empower businesses in sales, marketing, recruitment, and investments through their advanced B2B intelligence platform. As a Senior Data Engineer, you'll contribute to the development of robust data infrastructure, ensuring seamless data flow to support insightful analytics and AI-driven decisions. Bizzy's collaborative and employee-centric culture aims to drive business success through innovation and teamwork.

In this role you can expect to have the responsibilities:

• Implement scalable data extraction techniques from diverse sources.
• Integrate and aggregate data to make it accessible for the platform.
• Design data architecture and maintain scalable data pipelines.
• Ensure data integrity with robust processing and governance measures.
• Collaborate with cross-functional teams to align data solutions.
• Prioritize data infrastructure projects and influence key decisions.
• Automate data validation, transformation, and monitoring processes.
• Mentor engineers and promote a culture of growth and improvement.

This role comes with the following benefits:

• Macbook Pro and iPhone 16 with subscription.
• Healthcare benefits including Alan daily care.
• Meal vouchers.
• Flex Income Plan via Payflip.
• Flexible working hours and locations.
• Fresh office snacks including fruit and cookies.
• Budget for growth and development.
• Company merchandise and team events.

This role requires you to have:

• At least 5 years of experience in large-scale data systems.
• Proficiency with PySpark, MySQL, and Databricks.
• Strong data modeling and cloud-based data solution experience.
• Analytical problem-solving skills.
• Team collaboration and communication experience.
• Fluency in English.

You would benefit from having:

• Experience with scraping processes (Typescript).
• Proficiency in the Dutch language.
• Cloud-based data solutions using Google Cloud.

Bizzy promotes a diverse and inclusive work environment and encourages applications from individuals who may not meet every expertise criterion. They believe diverse teams build better products.