Associate, Data Engineering - DISC Project

 

Associate, Data Engineering - DISC Project

Location: Nairobi, KenyaLocation type: Remote Eligible - Location subject to manager approvalReports to: Deputy Project Director, Multi-Country II*This position is only open to those with legal right to live and work in Kenya. PSI will not provide visa sponsorship for this role.

Welcome to PSI!PSI is a network of locally rooted, globally connected organizations working to advance the achievement of people-centered health systems that ensure quality, affordable care wherever and whenever it is needed. Our origins in sexual and reproductive health have grown into a broader mission. Today, we work with the public and private sectors as well as local communities, prioritizing people’s voice and choice and developing solutions to meet their essential health needs. Over the past five decades, we have helped push boundaries, break taboos, set trends, and develop innovative solutions to complex global health challenges.

 

Do you want to join PSI to help make it easier for all people to lead healthier lives and plan the families they desire? Read on!

Join us!

PSI seeks an Associate, Data Engineering that will provide dedicated support to the DISC project in developing robust, production-grade data architectures, transforming complex raw data into high-quality, analytics-ready datasets, and ensuring reliable and performant data platform operations.  

 

What You'll Do

• Data Engineering: Support the design, build, and optimization of scalable data pipelines using cloud-based proprietary or open-source data platforms to deliver high-quality, analytics-ready datasets for enterprise reporting and advanced analytics. Implement best practices for data transformation and cleansing to ensure data integrity and reliability. Support the development and maintenance of technical documentation, including SOPs and user guides.
• Machine Learning Operations (MLOps) Support: Enable and support machine learning workflows by developing feature pipelines, integrating models into production data environments, and contributing to automated model monitoring and processes.
• Platform Operations & Reliability: Ensure the stability, performance, and reliability of data platforms through proactive monitoring, CI/CD practices, and production issue resolution.
• Support the implementation of data analytics, visualization, and reporting tools.
• Provide technical support in data quality management, data governance, security, and data privacy.
• Embody PSI’s values: Measurement, Pragmatism, Honesty, Trust, Collaboration, and Commitment.
• 10–25% international travel, or flexibility to support global teams across regions.
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This is not an exhaustive list of all tasks that an incumbent is expected to perform but is instead a summary of the primary responsibilities and requirements of the job. The incumbent may be asked to perform duties not included above. PSI reserves the right to revise job profiles at any time based on changes to the required job responsibilities.

 

What You'll Bring

• Bachelor’s degree (or international equivalent) in Computer Science, Information Technology, Statistics, or a related field
• At least 3 years of related experience; an equivalent combination of relevant education and experience may be considered
• Strong data engineering skills, with experience building and maintaining ETL/ELT pipelines and working with both structured and unstructured data
• Solid scripting skills in PySpark, Python, R, or SQL
• Knowledge and appreciation of data modeling principles and database systems
• Experience with Microsoft Fabric, Databricks, or similar cloud-based or open-source data platforms
• Experience with data lake/lakehouse architectures and best practices for data storage and processing
• Knowledge of machine learning concepts and frameworks
• Strong problem-solving and critical thinking skills, with the ability to identify and mitigate risks and develop creative solutions
• Experience using data analysis and visualization tools (e.g., Power BI, Superset, Tableau, D3.js)
• Ability to build and maintain relationships with internal and external stakeholders; able to work both independently and as part of a team
• Exceptional interpersonal and communication skills (verbal and written), with the ability to interpret data and present insights to non-technical audiences

We know that a long list of requirements may be discouraging, but don’t let imposter syndrome or the confiden