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    Senior Data Engineer – Platform & Analytics
    Senior Data Engineer – Platform & Analytics
    01/12/2025 by Yakeey
    Casablanca
    Salary not provided
    Hybrid

    Yakeey, a fast‑growing PropTech company headquartered in Casablanca, Morocco, is seeking a Senior Data Engineer to strengthen its data platform and analytics capabilities. The role focuses on ensuring platform stability, high availability, and cost efficiency while enabling data‑driven decision making across product and operations teams.

    Key Responsibilities:

    • Maintain and optimize the data platform comprising Postgres RDS, Redshift, and S3, ensuring high availability, performance, and cost efficiency.
    • Design, develop, and manage ELT pipelines using Airbyte to ingest data from diverse sources into the data warehouse and lake.
    • Model and transform data with dbt to produce clean, well‑structured datasets and meaningful KPIs for stakeholders.
    • Orchestrate data workflows with Prefect, automating 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, troubleshoot issues, and continuously improve reliability and scalability.
    • Stay current with emerging tools and best practices in data engineering, exploring AI technologies such as intelligent agents, large language models (LLMs), Model Context Protocol (MCP), and retrieval‑augmented generation (RAG) architectures.

    Required Qualifications:

    • 6‑9 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 (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:

    As a key member of the data engineering team, you will directly impact Yakeey’s vision of a one‑stop‑shop platform for real‑estate transactions. You will work with a modern technology stack, collaborate with cross‑functional teams, and contribute to the development of AI‑driven services that transform the industry.

    Recruitment Process:

    1. CV pre‑screening.
    2. AI interview.
    3. First conversation with the HR team.
    4. Practical case study related to the position.
    5. Role‑specific interview with the future manager.
    6. Final meeting with top management (if needed).

    Join Yakeey and help shape the future of real‑estate technology.

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