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Data Engineer

Remote, on EMEA time zones, spanning GMT to GMT+3

The company

At Rescue.co, we build technology that saves lives.

Every day, our dispatch systems connect people in urgent need with medical, security, and roadside assistance - faster, smarter, and with more reliability than ever before. Today, our platform coordinates the largest network of ambulances, security, airevac and roadside responders in East Africa.

We’re looking for passionate team members to help design, build, and scale the core systems and keep our operations running smoothly in a high-pressure, high-impact environment. If you thrive on meaningful challenges, love crafting reliable tech systems, or love the thrill of running fast-paced, high-impact operations - and if want to be part of a team that impacts lives every day - we’d love to hear from you. 

 

About the role:

We are seeking a versatile and innovative Data Engineer who excels at the intersection of data engineering, full-stack development, and AI-powered integrations. The ideal candidate is skilled in SQL, AWS QuickSight, Superset, or another data analysis platform and modern data engines, with a strong ability to design secure, scalable systems that merge and sync diverse datasets in a virtual private cloud environment. Proficiency in building interactive, data-driven UIs and working with APIs and security protocols is essential. This role is perfect for someone passionate about harnessing the power of AI and data, with a meticulous focus on accuracy and meaning, while remaining flexible in tools and methodologies to deliver impactful solutions.

This is what you will do: 

Data Engineering & Analysis

  • Design, build, and optimise data pipelines and data models for robust, scalable analytics.
  • Work with large datasets to extract meaningful insights and support data-driven decision-making.
  • Develop, deploy, and manage advanced and secure data systems using SQL, various AWS data pipelines & platforms, and other tools.
  • Integrate AI/ML capabilities into data pipelines and analytics platforms. Prototype and implement machine learning models that solve real-world business problems.

Data Visualisation & UI Development

  • Build and maintain data dashboards, reports, and visualisations using AWS Quicksight or similar tools.
  • Design and develop user-friendly, interactive UIs for presenting complex datasets and models.
  • Collaborate with stakeholders to ensure dashboards and tools meet business needs.
  • Design and implement secure end-to-end solutions that integrate backend data systems with front-end applications or data displays.
  • Develop and deploy interfaces for advanced data visualisation and interaction.

Collaboration & Problem-Solving

  • Work closely with cross-functional teams, including engineers, and business analysts, to align on project goals and deliverables.
  • Solve complex technical challenges related to data accuracy, integration, performance, and scalability.
  • Advocate for best practices in data governance, security, and architecture.

Requirements: 

Core Technical Skills

  • Proficient in SQL, AWS Athena, Quicksight, and other data visualization/analytics platforms.
  • Experience with modern data engines and tools (e.g., Snowflake, Redshift, BigQuery, or similar).
  • Strong programming skills in Python, JavaScript, R, and other languages.
  • Experience with backend technologies such as Node.js, Flask, or Django.
  • Ability to create and manage RESTful APIs for data systems.
  • Proven ability to create visually compelling and insightful dashboards and UIs.
  • Strong sense of design and user experience in data presentation, as well as systems-oriented design abilities (ability to deploy customizable secure data interfaces & visualization systems).

AI/ML Expertise

  • Solid understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience deploying and managing AI models in production environments.
  • Strong analytical and critical-thinking skills to solve complex data challenges.
  • Passion for exploring new AI capabilities and applying them to enhance data systems.

Soft Skills

  • Collaborative mindset and excellent communication and leadership abilities to coordinate with a diverse technical team.
  • Strong problem-solving skills.
  • Ability to work in an agile development environment.

Bonus points if:

  • Experience designing for platforms that incorporate AI, ML, or advanced analytics.
  • Familiarity with accessibility standards and inclusive design practices.
  • Knowledge of motion/interaction design and ability to create micro-interactions.

How to Apply

Please submit a one-page PDF CV. Ensure that you highlight the most relevant experiences within a single page. We will not review CVs longer than one page. 

Rescue.co is an equal opportunity employer. We celebrate diversity in all its forms and are committed to creating an inclusive workplace where everyone belongs. We welcome your application.

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