Bizagi is growing fast as part of the rapidly expanding cloud automation market. Right now, we're looking for the best individuals across regions with a talent for innovation.
We are extremely passionate about our global team, our diversity, our culture and our customers.
Bizagi is a global software company born in LATAM with a strong presence in EMEA and growing fast in NAM. Bizagi stands for Business Agility with a clear vision: to be the best process automation company enabling large organizations to change faster.
Because traditional software development and legacy systems can be slow, Bizagi developed an easy-to-use cloud platform for low-code process automation.
It helps organizations across industries to launch modern apps that digitize and automate the way the business works. Customers include adidas, DHL, and Old Mutual.
What is it like to work at Bizagi?
We are an ambitious and innovative team, so the path ahead will give you new opportunities to grow professionally. You'll have the chance to work with talented people across the globe including our world-class leaders.
Every Bizagi employee has the chance to make a tangible impact on the company's success and we believe in having fun along the way.
We don't take ourselves too seriously and we celebrate new ways of thinking. Once you join, you will see also that Bizagi embraces diversity, equality, inclusion, and mutual respect.
Importantly, we believe that people do their best work when they have a healthy work-life balance, so we live and breathe flexibility every day.
Our values are to be innovative, collaborative, and responsive. We believe in being accountable for responsibilities and working towards outcomes, not hours in the office or online.
Come join us and find out what the best work of your career could look like here at Bizagi!
Join us in the transformation into a data-driven company being part of our global data team to help us enhance our business analytics capabilities and seamlessly integrate AI into our daily operations.
Our strategic objectives revolve around two key pillars: Microsoft Fabric adoption and leveraging AI capabilities to shape and strengthen our overall data architecture.
As a valued member of our global data team, you'll play a pivotal role in shaping our data landscape.
You will closely collaborate with business and technical teams understanding their data needs and incorporating their insights into our corporate infrastructure to extract its full value.
Responsibilities Be part of our exciting transition as we embrace Microsoft Fabric as our primary data platform and Microsoft Copilot as our trusted companion to revolutionize our data management and boost productivity.
Design, develop and maintain data pipelines and infrastructure ensuring scalability, reliability and efficiency using Microsoft Azure services, accompanied by the most modern AI techniques.
Collaborate with stakeholders to ensure that data entry, retrieval, change, and delete functions align with business requirements ensuring data quality.
Assist in the definition and deployment of data governance processes that are scalable at corporate level.
Assess building the company analytics roadmap working closely with end users, managers, and other stakeholders.
Leverage data science and machine learning techniques to unlock value from our data.
Position Requirements Formal Education & Certification Bachelor's or master's degree in applied science.
Fluency in spoken and written English, given our global work environment requires.
Post-graduate certification in Data management, Big Data or Analytics would be a plus.
Azure data engineer associate or similar certification would be a plus.
Knowledge & Experience Minimum of 5 years direct work experience.
Experience with Microsoft Azure services for data engineering and hybrid landscapes with on-premises and Cloud-based components (+2 years).
Demonstrated experience in data integration to support data marts, pipelines and insights creation (MS Data Factory or Synapse preferably).
Comprehensive data platforms analysis and design experience, with strong understanding of data lake methodologies and data modelling applying best data quality practices.
Experience working with visualisation tools (Power BI would be a plus).
Familiarity with big data and commonly used AI languages (R, Python) along with data science and machine learning techniques.
Work Conditions Hybrid position. This role offers the flexibility of working from home with regular meetings at our office in Madrid.
Global responsibility. Our teams are multi-located across Europe and America.
Benefits Competitive Salary Package, Comprehensive benefit package, Bonus and Incentive Compensation Programs, Stock Options.
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