We are seeking an experienced Head of Data to lead our data strategy, drive data-driven initiatives, and ensure optimal use of data to support business objectives. The role involves defining and implementing data vision, overseeing data teams, collaborating with leadership, ensuring data quality, security, and compliance, and identifying technology partnerships. The ideal candidate has 10+ years of experience in data management, including 5+ years in leadership, expertise in Hadoop, Spark, SQL, NoSQL, cloud platforms, and a strong strategic mindset with excellent communication skills. A degree in Computer Science, Data Science, or related field is required.

Head of Data Strategy at Novancy in Casablanca leads the company's data vision, governance, architecture, and analytics initiatives. The role oversees data engineering, science, and analytics teams, aligning projects with business priorities while ensuring data quality, security, and GDPR compliance. The candidate will identify technology partnerships, manage cloud platforms, and drive AI and MLops practices. With over ten years of experience and a strong background in Hadoop, Spark, SQL, NoSQL, and major cloud providers, the leader will shape data-driven decision making across the organization. This permanent position requires strategic thinking, excellent communication, and a passion for transforming data into actionable insights.

Lead Novancy’s data vision, steering governance, architecture, analytics, and AI initiatives. Oversee data teams, align projects with business priorities, ensure GDPR compliance, and partner with cloud platforms. Ideal for a seasoned leader with 10+ years in data management and 5+ years in leadership, holding a degree in Computer Science or Data Science.

Head of Data Strategy at Novancy in Casablanca leads data governance, architecture, analytics, and AI initiatives. Oversee data teams, align projects with business priorities, ensure quality, security, and GDPR compliance. Identify tech partnerships, manage cloud platforms, and mentor junior staff. Requires 10+ years experience, leadership, expertise in Hadoop, Spark, SQL, NoSQL, AWS/Azure/GCP, DataOps, MLops, and strong strategic mindset and communication skills. Bachelor's in Computer Science/Data Science. Onsite role driving data-driven decisions.

Senior Data Engineer – Platform & Analytics. Join Yakeey, a fast‑growing PropTech company in Casablanca, to build and maintain a high‑performance data stack that powers analytics, reporting and AI services. You will design ELT pipelines, model data with dbt, orchestrate workflows with Prefect, and ensure data governance. The role requires 6‑9 years of experience, strong SQL, AWS, Python, and a passion for emerging AI technologies.

Senior Data Engineer – Platform & Analytics. Lead the design, maintenance, and optimization of a high‑performance data stack using AWS services (Postgres RDS, Redshift, S3). Build ELT pipelines with Airbyte, model data with dbt, and orchestrate workflows via Prefect. Collaborate with product, operations, and analytics teams to deliver actionable insights, enforce data governance, and support AI initiatives such as LLMs, MCP, and RAG. Requires 6‑9 years of experience, strong SQL, Python/Java skills, and a passion for emerging data technologies.

Lead the company’s data strategy, driving data‑driven initiatives and ensuring optimal use of data to support business objectives. Oversee data teams, align projects with leadership priorities, and maintain data quality, security, and compliance with GDPR. Identify technology partnerships and foster a culture of innovation.

The Head of Data role at Novancy in Casablanca leads the company’s data strategy, defining vision, governance, architecture, analytics, and AI. You will manage data teams, ensure quality, security, and GDPR compliance, collaborate with leadership to align data projects with business priorities, and identify technology partnerships in Big Data and cloud platforms.

The Head of Data will lead the company’s data strategy, driving data‑driven initiatives and ensuring optimal use of data to support business objectives. Responsibilities include defining and implementing data vision, overseeing data teams, collaborating with leadership, ensuring data quality, security, and compliance, and identifying technology partnerships.