Analytics Engineer

About Deliverect
As a rapidly scaling global SaaS unicorn, Deliverect stands at the forefront of revolutionizing technological solutions for the dynamic hospitality and Q-commerce sectors. Our mission is clear: to empower individuals with skill, ambition, and a desire to make a substantial impact on their careers while being part of something larger than themselves.
Dynamic Team and Values
Embarking on our global expansion journey across strategic hubs in Europe, North America, South America, Oceania, Asia, and the Middle East, Deliverect is fueled by ambition and mutual respect. Our tight-knit team thrives on continuous enhancements and personal growth. Guided by unwavering values of ownership, collaboration, and learning, we provide individuals with an environment to conquer challenges and build determination. Our culture is deeply rooted in our growth story, originating from our Belgian startup roots. From our humble beginnings, we defied all odds in unity, transforming into a global force in the tech industry. We leave a positive impact on our customers and the individuals we serve, creating a lasting legacy in our collective journey.
Department Focus:
The Cloud Platform department at Deliverect is the engine that drives our customers' success by providing a reliable, scalable, and secure platform for exceptional customer experiences. Our team of passionate engineers and architects constantly innovates and refines our solutions, equipping businesses with the cutting-edge technology they need to thrive in today's competitive landscape and deliver unparalleled ordering experiences.
Your Impact:
We are a leading SaaS company in Food Tech processing millions of transactions daily, and we are seeking expressions of interest from Analytics Engineers for future roles with us.
You'll be at the forefront of leveraging data for decision-making and business optimisation, building scalable infrastructure, and delivering impactful analytics solutions. This is your opportunity to enhance our data capabilities, access cutting-edge tools, and contribute to our continued success while accelerating your growth in a dynamic, high-impact environment.
You must have the right to work within Morocco for this role. This is a hybrid role working 3 days in our Casablanca office and 2 days from home.

What you will do:

• Design, develop, and maintain data models using tools like DBT to transform raw data into structured, analytics-ready datasets, ensuring accuracy and optimal performance for downstream consumption
• Build and manage insightful and reliable dashboards to facilitate self-service analytics for Product, Marketing, Sales, and Operations teams, enabling data-driven decision-making across the organisation
• Partner with cross-functional teams (Product, Marketing, Sales, Operations) to deeply understand their business needs, providing actionable insights and deep-dive analysis to drive business optimisation and support strategic projects.
• Collaborate closely with Data Engineers to define data pipelines, establish ingestion strategies, and implement robust data governance policies.
• Ensure data quality, reliability, and consistency through rigorous testing, monitoring, and validation processes, proactively identifying and resolving data discrepancies.
• Propose and implement continuous improvements to the data stack, enhance best practices, and maintain clear, up-to-date documentation.

What you will bring:

• 3+ years of experience in analytics, data engineering, or a similar data-focused role, preferably in a high-growth SaaS environment.
• Strong expertise in SQL, with practical experience working with large datasets (experience with BigQuery is ideal).
• Proven experience with data modelling and transformation tools like DBT, demonstrating an understanding of data pipeline orchestration and ETL concepts.
• Strong problem-solving skills and the ability to work effectively and communicate clearly with both technical and non-technical teams.
• A strong sense of ownership, quick learning ability, and a proactive approach to adapting to new challenges and technologies.
• Experience with data governance, testing, and monitoring best practices.
• Formal education in Computer Science, Data Science, or a related quantitative field, or equivalent work experience.
• Highly Desirable Skills: Experience with Python for data scripting and automation, proficiency in a visualisation tool like Looker, and knowledge of cloud platforms (GCP ideally).