Senior Data Engineer
Gent, Vlaams Gewest, Belgium
Bizzy
Bizzy is the B2B intelligence platform helping you discover, qualify and engage with companies, smarter than ever.Hi there 👋! We are Bizzy, but we'll talk about us later! Right now it's all about you.
As a Senior Data Engineer at Bizzy, you’ll play a critical role in building and optimizing the data infrastructure that powers our innovative B2B intelligence platform. You’ll work with a talented team to extract data, design, build, and maintain scalable data pipelines, ensuring reliable data flow and supporting analytics, AI, and business initiatives. This is a dynamic role requiring adaptability, entrepreneurial spirit, and a strong commitment to continuous improvement, accountability, and collaboration.
This role is located in Ghent, with flexibility for working from home 2 days per week.
We believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for business success so feel encouraged to shine, however that manifests.
Here’s what you’ll be doing:
Data extraction: Implement scalable techniques for efficiently gathering structured and unstructured (big) data from diverse sources.
Data integration and aggregation: Merge data from public registers, trade sources, and dynamic intent data, making it accessible and meaningful for Bizzy’s platform. Your entrepreneurial mindset will drive creative solutions to complex data needs. #LeadTheWay
Infrastructure: Design our data architecture, building, and maintaining scalable and reliable data pipelines to manage Bizzy’s data flow, connecting diverse data sources to deliver value to our customers.
Data governance and quality assurance: Ensure data integrity and consistency by implementing efficient data processing and governance measures throughout our whole company. Maintain a proactive focus on continuous improvement and high data quality standards.
Cross-team collaboration: Work closely with the other data engineers, full stack engineers, and product managers to align data solutions with business and customer needs.
Prioritize and highlight structural data infrastructure projects within our company, influencing decision makers to strategise around these key data projects, creating time for implementation.
Automating data processes: Develop and maintain tools for automated data validation, transformation, and monitoring to ensure high data quality and efficiency.
Mentorship: Share your expertise and support the growth of other engineers, promoting a culture of continuous improvement and growth. #CandidCandor #UnitedByGrowth
Requirements
To excel it in this role, you should have/be
Proven data engineering expertise: At least 5 years of experience in designing and maintaining large-scale data systems, preferably in data-rich platforms like Bizzy.
Deep technical knowledge: Proficiency with distributed data processing languages (PySpark), databases (MySQL), and data lakes (Databricks). Experience with scraping processes is a bonus (Typescript).
Strong data modeling experience: Ability to design effective data models, build workflows, and manage data warehousing strategies.
Experience in cloud-based data solutions: Familiarity with platforms such as Google Cloud to build and manage data solutions at scale.
Analytical thinker and problem-solver: Strong skills in identifying and addressing data-related challenges, with a solution-oriented mindset.
Team-oriented: You thrive in collaborative settings, ensuring clear communication and knowledge-sharing. You have proven experience in team coaching and you know how to influence your team in the right direction.
Goal-setting and reporting: You have the ability to set up KPIs for your team. You can rally a team around goals and get them to the finish line. You can report these KPIs frequently to leadership.
Eagerness to learn: You are passionate about staying up-to-date with the latest trends in data engineering and AI-driven data products.
Fluent in English: You are fluent in English, both spoken and written. Dutch is a bonus.
Why should you join us?
At Bizzy, we are on a mission to help our customers in sales, marketing, recruitment and investments focus on the human side of doing business. Bizzy is the B2B intelligence platform helping businesses discover high-quality, ready-to-buy leads through a unique blend of public and trade registers, dynamic intent data, and AI-powered insights. We are the go-to-source for comprehensive, local B2B data.
Joining Bizzy is contributing to bringing our innovative solutions to the European market. If you're ready to achieve challenging goals and be part of a dynamic team, apply now and help drive Bizzy's success!
We pride ourselves on our company values - United by Growth, Candid Candor, Lead the Way and Hustle and Unwind - which guide everything we do.
On top of a competitive salary, we offer the following benefits:
🛠️ The right tools to do your job without headaches and drama;
💻 Macbook Pro
📱iPhone 16 (with subscription)
🏥 Healthcare benefits plan (incl Alan daily care)
🥪 Meal vouchers
⚖️ A Flex Income Plan through Payflip
🕛 Flexible working hours and locations, although we love to connect in person at least three days a week.
🍏 Fresh fruit in the office (and cookies as well 🤫)
🧑🎓 Dedicated budget to support your growth and development
🎁 Awesome Bizzy merchandise
🍺 🎉 🏂 Team drinks and events
*Diverse teams build better products - an asterisk you'll want to read
We know for a fact that women, people of color, and minorities in general, are not likely to apply for a job they only feel 70% qualified for. We're here to tell you that you are, in fact, enough, and strongly encourage you to be confident and to submit your application either way. You've got this! We know the confidence gap and imposter syndrome can get in the way of meeting amazing candidates, so please don’t hesitate to apply — we’d love to meet you!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Databricks Data governance Data pipelines Data quality Data Warehousing Engineering Excel GCP Google Cloud KPIs MySQL Pipelines PySpark TypeScript
Perks/benefits: Competitive pay Flex hours Home office stipend Salary bonus Startup environment Team events
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