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Sand Technologies

Enterprise AI solutions, automation and analytics

Forward Deployed Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeTanzaniaNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
  • At least five years of experience in software engineering, data engineering, data science, system deployment, or technical leadership.
  • Proficiency in at least one of Python, SQL/PostgreSQL, or JavaScript, with the ability to write production-grade code.
  • Experience working with or deploying to government, public sector, or large institutional clients.
  • Proven ability to lead local technical teams and build capacity.
  • Willingness to relocate and be permanently based in Tanzania for the engagement, lasting 12–24+ months.
  • Local language proficiency is a significant advantage.

Responsibilities

  • Embed full-time within the Ministry of Health as a trusted member of the client's extended team.
  • Develop a deep, longitudinal understanding of the national health data landscape, institutional dynamics, and operational priorities.
  • Build and maintain relationships across all levels of the Ministry, from frontline data officers to senior leadership.
  • Act as the primary technical point of contact for Sand activities in-country, coordinating with launchers, country directors, and visiting Forward Deployed Engineer teams.
  • Rapidly unlock, explore, and integrate client data sources, including DHIS2, SCADA systems, network management platforms, and operational databases.
  • Understand client problems through prototyping and rapid value delivery, deploying proofs of concept and minimum viable products using Sand's product components and playbooks.
  • Transition initial solutions into hardened, production-grade systems the Ministry relies on daily.
  • Own the long-term health of deployed solutions by monitoring adoption, troubleshooting issues, and iterating based on user feedback.
  • Deliver and track value generated through deployment of Sand products.
  • Lead with Sand's existing product suite and understand which products are most effective for the deployment domain.
  • Document learnings, client challenges, and successful solutions as reusable patterns for the broader Forward Deployed Engineer community.
  • Drive discovery and expansion by uncovering new opportunities on the ground.
  • Work alongside Ministry teams to co-create solutions and progressively transfer knowledge so they can operate and maintain systems independently.
  • Identify, recruit, and mentor local data engineers, scientists, and analysts to build sustainable in-country capacity.
  • Develop training materials and documentation tailored to the local context, language, and skill level.
  • Provide continuity between Sand's deployment and the Ministry's long-term ownership, ensuring handover is sustained.
  • Channel field learnings back to improve the core product through structured mechanisms such as Technical Deep Dives, Solution Swarms, and pattern documentation.
  • Document solution patterns so future Forward Deployed Engineers can move faster.
  • Contribute field feedback that influences 30% of the product roadmap.
  • Work on-site at the Ministry of Health in Tanzania four days per week and use one day for focused remote work, internal collaboration, and knowledge sharing with the broader Forward Deployed Engineer community.

Desired Qualifications

  • Experience with data integration, extract-transform-load pipelines, and diverse data sources.
  • Experience in one or more focus domains: health informatics or digital health, water utility operations, telecommunications network operations, or energy systems.
  • Familiarity with domain-specific platforms, including DHIS2 or OpenMRS for health; SCADA or GIS for water and energy; and OSS/BSS for telecommunications.
  • Experience with business intelligence and dashboarding tools, particularly Apache Superset.
  • Experience with data transformation tools such as dbt or Airflow.
  • Comfort working with data dictionaries and reporting requirements, and identifying common data quality issues.
  • Knowledge of data security, privacy, and interoperability standards, including FHIR for healthcare, GDPR, and local data sovereignty requirements.
  • Experience operating in resource-constrained environments, including unreliable power and limited connectivity.

About the Company

Sand Technologies

Enterprise AI solutions, automation and analytics

Sand Technologies provides AI solutions for enterprises and industries, using advanced data science to help clients automate processes, generate predictive insights, and build custom models. Its products are tailored AI applications that combine automation, predictive analytics, and specialized modeling to meet each client’s needs. The company serves large corporations and niche sectors worldwide, differentiating itself through customized, scalable AI deployments rather than one-size-fits-all products, and by building long-term partnerships. The goal is to help clients solve complex challenges, improve efficiency, and drive innovation by adopting scalable AI solutions under project-based, subscription, and long-term service contracts.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2023

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