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Aga Khan Hospital University – Senior Data Engineer, Data Innovation, ICT Administration Office.

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Senior Data Engineer, Data Innovation, ICT Administration Office  (220000O0)
Senior Data Engineer, Data Innovation

Department: Office of the Chief Data Innovation Office

Entity: Aga Khan University

Location: Nairobi

Introduction

Are you data driven and interested to use analytics to deliver impact for the greater good of humanity?

The Aga Khan University (AKU) holds a unique position in today’s global landscape due to access to millions of data records over the past decade; both traditional and non-traditional sources. This unique resource can drive innovation and help gain a more nuanced understanding of the unique challenges facing developing nations and the potential solutions.

AKU is a diverse and rapidly expanding organisation. If you are keen to be part of an impactful, innovative and exciting place to thrive whilst developing your career further then AKU could be for you.

The Role

To capitalise on this unique opportunity, we are looking for data engineers to work in the office of the Chief Data Innovation Officer (CDIO). Our team works with the research and academic colleagues across AKU to build data platforms, data stores, data models, analytic dashboards and interactive reports. Our goal is to help kick start a project and ensure the team thrives to build relevant and actionable intelligence that can deliver social impact in the communities we serve or raise the bar of academic excellence within our operations.

Responsibilities

Data engineers are the blood line of any data product; they transform raw data into useful and impactful insights. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. You should be proficient in building data pipelines and data repositories that are optimised for scale and performance. If you are data driven and are interested in an impactful new role this opportunity is for you.

Accountabilities include:

  • Build data pipelines to power data products for use within AKU
  • Design and build data platforms, data repositories, and data stores based on the needs of the project
  • Analyse and organise data from operational sources in a manner optimised for analytics
  • Define and design logical and physical data models for reporting and analytics 
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Explore ways and implement mechanism to enhance data quality and reliability
  • Collaborate with report developers, data scientists and business users
  • Interact with cross functional teams and various stakeholders on project milestones and deliverables
  • Ensure compliance with internal and external data governance policies
What you will need to be successful:
  • A minimum of 3 – 5 years working in the data discipline at a high-tech company within an analytics domain
  • A proven track record in building and shipping successful analytics software products at scale at a high-growth, high-tech company
  • A deep understanding of the different domains of Data Science: ETL, data analytics, machine learning, and operational research.
  • A strong track record of addressing the challenges of developing data products at scale.
  • Experience building out products that can meet the needs of a wide set of user personas ranging from simple to complex needs
  • An ability to define and prioritize initiatives while working cross-functionally, and managing complex stakeholder relationships
  • Strong references that speak to your ability to collaborate and communicate with stakeholders, designers, developers, data scientists, IT and researchers in an agile environment
  • A genuine excitement for solving complex problems and strong sense of empathy for the challenges faced by LMICs
  • An entrepreneurial mindset – you roll up your sleeves, thrive on change, and get things done
  • To be a team player, coach, and referee all-in-one

How To Apply

CLICK HERE TO APPLY

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