We are looking for a Senior Data Engineer with strong expertise in Databricks to join our growing team. You will be responsible for designing and scaling the data infrastructure that powers Leakmited’s AI and data-driven products. This role is ideal for someone who thrives at the intersection of big data engineering, cloud platforms, and applied AI.

What you will do

• Architect, build, and maintain scalable data pipelines and ETL processes using Databricks.

• Optimize data workflows for performance, reliability, and cost-efficiency.

• Collaborate closely with Data Scientists and ML Engineers to deploy and operationalize LLMs and other ML models into production systems.

• Manage data quality, governance, and security across multiple sources and environments.

• Support the integration of structured, semi-structured, and unstructured data into Leakmited’s platforms.

• Contribute to the strategic evolution of Leakmited’s data architecture.

• 5+ years of experience in Data Engineering, Big Data, or related fields.

• Hands-on expertise with Databricks (PySpark, Delta Lake, MLflow, SQL).

• Solid experience with cloud platforms (Azure, AWS, or GCP).

• Strong programming skills in Python and SQL.

• Experience with workflow orchestration tools (Airflow, Prefect, dbt, etc.).

• Knowledge of data modeling, storage optimization, and performance tuning.

• A collaborative mindset and a passion for building reliable data systems that serve real-world impact.

• Strong Bonus: exposure to ML/AI workflows, APIs, or real-time streaming pipelines.

1. Entretien de pré-sélection avec le recruteur – Conversation initiale pour évaluer la compatibilité et présenter le poste.

2. Entretien avec le Head of Data – Évaluation des compétences techniques et de l’expérience en lien avec le poste.

3. Entretien en personne avec l’équipe – Vérification des compétences relationnelles, du match culturel et des connaissances techniques approfondies.

4. Entretien final avec le CEO – Évaluation de l’alignement stratégique et discussion finale sur l’impact potentiel du candidat.

5. Proposition d’offre – Présentation de l’offre et explication des prochaines étapes.