Senior Business Intelligence Engineer

Senior Business Intelligence Engineer
Job Title:
Senior Business Intelligence Engineer
Salary:
0
Location:

Travel Requirements
Some travel
Educational Specialization
Computer Science
Work Options
On-site
Company Size
500+ employees
Experience Level
Senior-Level
Educational Level
Bachelor's degree
Skills
Business Intelligence, Data Engineering, ETL, Data Pipelines, Data Warehousing, Event-Driven Architecture, Continuous Delivery, Mentoring
Job Type
Full-time

Who We Are

  • About NewGlobe

NewGlobe is working with visionary governments around the world to dramatically improve the quality of basic education. Founded in 2007, we partner with governments to provide integrated school management, teacher professional development, instructional design innovation, technological system support, child-centered classroom practice, and parent engagement - all grounded in learning science - to ensure each teacher is empowered to engage children in transformational learning. Our data-driven approach has been validated by a Nobel-winning researcher and recognition by international leaders in Education. We imagine a world where all children can access an education that unlocks their full potential.

We need bright minds who want to be part of building a new globe - a more equitable globe - to join us. More information: newglobe.education

Technology Group

Technology plays a critical role enabling us to provide transformative education at massive scale in highly resource constrained environments. This is one of the key elements that gives us the ability to deliver radically impactful programmes, creating brighter futures for a generation of children across the world each day. Technology spans several key functions, including product management, business intelligence, software development and IT operations.

Working with us, passionate technologists have a chance to directly change the world.

About The Role

We have reached an inflection point where we need to take our data game to the next level. Instead of just providing data to our various departments, we need to start bringing to bear more sophisticated techniques to unlock the potential of our significant data sets. While we collect hundreds of thousands of data points every day from each of our programmes – from the time each teacher spends on each page of every lesson to every pupil’s answer to every question of every assessment – we are yet to fully realise the potential energy of these data sets.

On a technical level, this shift means moving beyond traditional approaches to data engineering, replacing ETL batch processing and data warehousing with event-driven real-time data pipelines and a distributed data mesh; on an organisational level, it means reimagining business intelligence as a skill set embedded in our cross-functional delivery teams, not as a separate team with separate priorities and timelines. And it also means transforming the ways that we expose the data to our users, providing richer, more actionable interfaces.

The Senior Engineer will help to lead the charge on this transformation, bringing experience to bear, both on the systems themselves, as well as mentoring and developing other team members.

This role reports to the Business Intelligence Lead, but will routinely be embedded in cross-functional delivery teams, working collaboratively to deliver our next generation data products.

What You Will Do

  • Build next generation event-driven data processing pipelines that cleanse, enrich, and aggregate a range of different data sets as part of a globally distributed and cross-functional software development organisation
  • Deploy these data pipelines in line with continuous delivery practices and principles
  • Improve the scalability, stability, accuracy, and efficiency of our existing data platform - it’s not all just green field!
  • Develop and mentor other members of the business intelligence department
  • Monitor our data platforms in order to identify and resolve issues and ensure high-availability of data insights
  • Communicate with stakeholders to develop requirements, implement solutions, and collaborate on rollouts

What You Should Have

  • 5+ years of enterprise work experience in business intelligence, data engineering, and advanced analytics
  • 2+ years of commercial, enterprise experience building data pipelines using Apache Spark and Python (future platform).

Disclaimer: This job description has been formatted by AI for readability. Please verify all details with the employer before applying.

[Note: This is a partial description. For complete details, please visit the application page.]

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