Azure Data Engineer

hace 4 semanas

Madrid, Madrid, España Bizagi A tiempo completo

Bizagi is a global software company that's part of the rapidly expanding cloud automation market. We're looking for talented individuals with a passion for innovation to join our global team.

Our company was born in LATAM and has a strong presence in EMEA and NAM. We're committed to being the best process automation company, enabling large organizations to change faster.

We've developed an easy-to-use cloud platform for low-code process automation, helping organizations across industries to launch modern apps that digitize and automate their business processes. Our customers include adidas, DHL, and Old Mutual.

What's it like to work at Bizagi?

We're an ambitious and innovative team, offering new opportunities for growth and professional development. 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 value diversity, equality, inclusion, and mutual respect. 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're looking for a Data Engineer to join our global data team and help us enhance our business analytics capabilities and seamlessly integrate AI into our daily operations. As a valued member of our team, you'll play a pivotal role in shaping our data landscape.

You'll collaborate with business and technical teams to understand their data needs and incorporate their insights into our corporate infrastructure to extract its full value.

Responsibilities

  • Be part of our exciting transition as we adopt 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 modeling applying best data quality practices.
  • Experience working with visualization 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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