Yakeey is a rapidly expanding PropTech firm headquartered in Casablanca, Morocco, dedicated to simplifying real‑estate transactions through a unified digital platform. The company’s portfolio includes a property marketplace, a credit application and processing platform, and a valuation tool, all powered by a modern data architecture that supports analytics, reporting, and AI‑driven services.
Position Overview
As a Data Engineer focused on platform stability and analytics, you will maintain and enhance a reliable, high‑performance data stack that empowers product and operations teams with actionable insights. You will leverage AWS technologies (Postgres RDS, Redshift, S3), build and manage ELT pipelines with Airbyte, model data with dbt, and orchestrate workflows with Prefect. Your work will ensure that key performance indicators and data products are accurate, timely, and tailored to support decision‑making, improve processes, and inform the development of our one‑stop‑shop services.
Key Responsibilities
- Maintain and optimize our data platform (RDS, Redshift, S3), ensuring high availability, performance, and cost efficiency to support analytics and operations.
- Develop and manage ELT pipelines with Airbyte to ingest data from diverse sources and keep the data warehouse and data lake up to date.
- Model and transform data using dbt to deliver clean, well‑structured datasets and meaningful KPIs for product and operations teams.
- Orchestrate data workflows with Prefect, automating tasks such as data ingestion, transformation, and quality checks.
- Collaborate with product, operations, and analytics teams to understand data needs, define metrics, and build data products that support decision‑making.
- Implement and enforce data governance practices, including monitoring, testing, and documentation, to ensure data accuracy and trustworthiness.
- Proactively monitor pipeline performance and resolve issues, continuously improving reliability and scalability.
- Stay current with emerging tools and best practices in data engineering to enhance the stack and support advanced use cases like MCP‑based agents and RAG architectures.
Qualifications
- Curiosity for next‑generation AI technologies.
- Demonstrated interest in or experience with intelligent agents, large language models (LLMs), Model Context Protocol (MCP), and retrieval‑augmented generation (RAG) architectures.
- Solid years of experience in data engineering with hands‑on work in SQL, data warehousing, and cloud platforms.
- Strong proficiency with relational databases (Postgres) and columnar warehouses such as Redshift; familiarity with object storage (S3) and AWS services.
- Experience building and maintaining data ingestion pipelines using Airbyte or similar ELT frameworks.
- Proficiency in dbt for data transformation and modelling.
- Experience orchestrating workflows using Prefect or equivalent tools.
- Programming skills in Python and/or Java.
- Understanding of data governance, testing, and CI/CD for data pipelines.
- Excellent problem‑solving skills and ability to work collaboratively across technical and business teams.
- Experience in fintech, proptech, or other regulated domains is an advantage; proficiency in French or Arabic is a plus.
Benefits
You will be instrumental in ensuring that our data platform remains robust and responsive to the needs of product and operations teams, enabling them to make data‑driven decisions and develop best‑in‑class services. Yakeey offers a modern technology stack and a collaborative environment where your expertise will directly impact the success of our one‑stop‑shop vision. If you are passionate about building reliable data systems and delivering meaningful insights, we’d love to hear from you.
Recruitment Process
- CV pre screening
- AI Interview
- A first conversation with the HR team to get to know you better and introduce you to our project
- A test or a practical case study related to the position
- A role‑specific interview with your future manager
- A final meeting with top management (if needed)
