Job details

Data Engineer - EMEA

Rescue.co is a rapidly growing tech startup revolutionizing emergency response. Our 24/7 Dispatch Center serves millions of Kenyans, while our platform powers Emergency Medical Service apps.

Our vision? 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. Focused on achieving goals, we're always refining our tech and operations, guided by values like agility, grit, and innovation.

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.

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, 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 optimize 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 Visualization & UI Development

Build and maintain data dashboards, reports, and visualizations 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 visualization 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.

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.

To ensure you bring your 100% self to work, we are happy to share with you what we are offering once you choose to join us at Rescue:

A chance to make an impact in a mission-driven organization.
Fully remote role with the flexibility to work from anywhere.
Unlimited paid time off.

How to Apply

Join us in our mission to serve and uplift our community. Apply now, and let's make a positive impact together! This role is open to candidates residing within the EMEA time zones, spanning GMT to GMT+3

P.S. While we're eager to learn about your experience, please submit your impressive journey in a one-page PDF CV. This helps us get started more quickly.

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 true self to work!

What You Should Know About Data Engineer - EMEA, Flare

At Rescue.co, we're on a mission to transform emergency response, and we're thrilled to invite a passionate Data Engineer to join our dynamic team! Based in Nairobi but serving a global community, we’re revolutionizing how emergency services operate. As a Data Engineer, you'll be at the forefront of harnessing the power of data to save lives. Your role will involve designing and optimizing data pipelines, integrating AI capabilities, and building intuitive data visualizations. We're looking for someone who thrives in a collaborative environment and is excited to turn complex datasets into actionable insights. If you're proficient in SQL, AWS QuickSight, and modern data tools, this is your chance to shine! We are a diverse, innovative unit that values creativity, problem-solving, and continuous improvement. Here at Rescue, we believe in empathy-driven design and maintaining high standards of consistency in our work. As you contribute to our mission, you'll have the flexibility to work remotely from anywhere within the EMEA time zones, ensuring work-life balance while making a real impact. Join us, and let's save lives together with technology that truly matters!

Frequently Asked Questions (FAQs) for Data Engineer - EMEA Role at Flare

What are the main responsibilities of a Data Engineer at Rescue.co?

As a Data Engineer at Rescue.co, your responsibilities will include designing, building, and optimizing robust data pipelines, and crafting data models for analytics. You will work with large datasets to extract insights, develop secure data systems using SQL and AWS platforms, and integrate AI/ML capabilities into our analytics that will help address real-world business challenges.