Our Journey

Rescue.co is a rapidly growing tech startup revolutionizing emergency response. Our 24/7 Dispatch Center serves millions across East Africa. Our vision is to ensure emergency help is minutes away, anytime, anywhere. In the past five years, we've built a lifesaving platform and the largest ambulance and responder network in East Africa. Our platform has slashed response times by over 80%, saving countless lives.

Now, we're expanding and seeking dedicated team members to steer this next phase of growth. If you're passionate, hardworking, and ready to make a difference, join us! We're a diverse team of over 52 specialists in business, operations, software engineering, and emergency dispatch, based in Nairobi but reaching across Kenya and beyond. 

If you're passionate about making a difference during crises and can stay calm under pressure, we want you. We value teamwork, multitasking, attention to detail, and a love for new technology. Ready to bring your best to work every day, grow your career, and make a real impact? Come join us. Check out our story HERE

Our Values:

• Consistency: We maintain high standards in everything we do.
• Design with EQ: We create with empathy, focusing on human needs.
• Always Questioning: We encourage curiosity and continuous improvement.
• Alignment: We work together towards common goals.

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.

Benefits at Rescue

Here are the benefits we offer: 

• Paid Time Off – Because we trust you to know when you need rest.
• Healthcare – Medical coverage for you and your loved ones.
• Ambulance Cover & Roadside Assistance – Provided by rescue.co, so you're protected when it matters most.
• Life Insurance – Peace of mind for you and your family.

Please note: These benefits apply to full-time employees.

How to Apply

Join us in our mission to serve and uplift our community. Apply now, and let's make a positive impact together! 

Please submit your impressive journey in a one-page PDF CV. This helps us get started more quickly. We will not review CVs longer than one page. Please highlight the most relevant experiences within a single page. 

At Rescue.co, we believe in the power of authenticity. We value you for who you are, regardless of your gender, age, ethnicity, race, sexual orientation, religion, veteran/military status, disability, or any other characteristic protected by local laws and regulations. Bring your authentic self to work!